We study the phase super–sensitivity of a Mach–Zehnder interferometer (MZI) with the squeezed Kerr state (SKS) and coherent state as the inputs. We discuss the lower bound in phase sensitivity by considering the quantum Fisher information and the corresponding quantum Cramér–Rao bound. With the help of single intensity detection, intensity difference detection, and homodyne detection schemes, we find that our scheme gives a better sensitivity under both lossless and lossy conditions as compared to the well–known results of the combinations of inputs, such as coherent plus vacuum, coherent plus squeezed vacuum, and double coherent states. Because of the possibility of the generation of SKS with the present available quantum optical techniques, we expect that SKS may be an alternative nonclassical resource for the improvement in the phase super–sensitivity of the MZI in realistic scenarios.

In the science and technology of metrology, the central task is to perform accurate measurements of certain parameters.1 By exploiting the peculiar properties of quantum mechanics,1–4 quantum metrology deals with the precision measurements of such parameters.5 For precise measurement of certain parameters, which are not measurable directly via conventional techniques, phase estimation1–4 via optical interferometers plays an important role. In order to implement the phase measurement scheme, usually, SU(2) or SU(1,1) based interferometers6 are used. SU(2)-type interferometers, such as Michelson interferometer (MI) and Mach–Zehnder interferometer (MZI), are based on passive type beam splitters, while SU(1,1)-type interferometers are based on active elements, e.g., optical parametric amplifiers (OPAs), in place of the beam splitters.6–9 

Theoretically and experimentally, it is found that the performance of the interferometer maximally depends on the input light sources.5 The performances of the interferometer, which depend maximally on the input light, in the ascending order would be thermal lights, coherent lights, and, maximally, nonclassical lights.5,10

Nonclassical lights are a class of lights that are only understood by the quantum mechanical theories,11 e.g., single photon state,12 squeezed states,13 twin Fock states,14 Schrödinger’s cat states,15–17 and N00N states.18–22 The well-known combination of coherent and squeezed vacuum as the input states23–25 became a famous choice for their good performance in the low as well as high-power range26–28 of interferometry and, also, due to its very recent application in the gravitational wave detection.29–33 Since the seminal work by Caves23 four decades ago, squeezing-assisted optical interferometry34,35 has become a centerpiece of theoretical28,36–38 and experimental4 quantum metrology. A MZI injected with an intense light in the coherent state (which is an eigenstate of the annihilation operator, denoted as |β⟩) at one input port and the squeezed-vacuum state at the other input port can attain the phase sensitivity Δϕ=er/n̄, where r(≥0) is the squeezing parameter, n̄ is the total average number of photons inside the interferometer, and ϕ is the relative phase shift between the two arms of the interferometer.23 This scheme can beat the shot-noise limit (SNL), ΔϕSNL=1/n̄, by an amount depending on the squeezing parameter r. To date, squeezing factors39 of more than 10 dB have been observed in several experiments.40–42 Interestingly, for a similar intensity, a MZI can achieve Heisenberg limit (HL), ΔϕHL=1/n̄, for the coherent and squeezed-vacuum states at the inputs.43 

In order to achieve the HL, we must have squeezing in such amount that er1/n̄. Experimentally, it is very tough for higher values of photons.40–42 In 2000, Dowling group proposed a new type of state known as the N00N state18 by which one can easily attain the HL. However, for higher photon numbers, generation of N00N state is very much challenging.44,45 So, this has led to open a new area of research having a significant amount of work in the optimization and generation of the nonclassical light.35 In order to generate the nonclassical light, special types of nonlinear materials46 and techniques47 are being used. For example, parametric processes in second-order χ(2) media generate squeezing and entanglement.48 On the other hand, the Kerr effect occurring in third-order nonlinear χ(3) media is being used to perceive quantum nondemolition measurements49,50 and to generate quantum superpositions15,51 as well as squeezing52 and entanglement.53,54 The most common methods of generating nonclassical light are parametric downconversion (PDC),48 four-wave mixing,55,56 and the Kerr effect.57 Unlike the former two approaches, squeezing via the Kerr interaction58,59 is inherently phase-matched, which allows for flexibility in the wavelength of the probe light. These features meant that the utilization of the Kerr effect is a robust and flexible approach. The Kerr interaction requires high optical powers to reach sufficient nonlinearity, and this is commonly achieved by using ultrashort pulses.60,61 However, this requires careful control of the pulses, since dispersion can act to spread out the pulse and, therefore, reduce the nonlinearity. Control of pulse spreading may be achieved by generating optical solitons, where the nonlinearity and dispersion are perfectly balanced.58,62 For Kerr squeezing, the possibility of using materials such as optical fiber lends significant flexibility and it does not require a cavity58 to enhance the strength of interaction as well as simplify the experimental requirements. For high nonlinearities and good transparency, chalcogenide- and tellurite-like glasses63–65 are good candidates for optical fiber fabrications.

However, there is a problem in identifying the Kerr squeezing in direct detection experiments in the resulting fields. The nonlinear index of refraction of the medium modifies the phases of the number states in the initial coherent state, but photon statistics of the field remain Poissonian.66 This produces a squeezing ellipse in phase space that is oriented in an oblique direction, neither in the direction of the phase nor in the direction of the amplitude quadrature.67 Consequently, it has been difficult to identify Kerr squeezing. A method to observe Kerr squeezing in fibers was proposed by Kitagawa and Yamamoto.68 They used an asymmetric Sagnac loop to displace the squeezing ellipse in phase space so that the short axis lined up with the amplitude quadrature.59,69 Another method was proposed by Gerry and Grobe.66 They applied the Kerr state to a two-photon parametric process, such as degenerate parametric downconversion or degenerate four-wave mixing. The resulting radiation is termed “squeezed Kerr states (SKS),” since the unitary evolution operator in the interaction picture for these processes is of the form of a squeeze operator.66 It is shown that the effect of the Kerr medium on photon statistics becomes readily apparent by the application of the squeeze operator to a Kerr state. Statistics of SKS are sub-Poissonian as well as super-Poissonian, and its quadrature squeezing is improved. Furthermore, higher-order nonclassical properties of SKS have been studied by Mishra.70 

So, based on the nonclassical properties of the SKS,66,70 we are motivated to study the improvement in phase sensitivity by using the SKS at the input of MZI. We will also compare our results with previous studies and results. To the best of our knowledge, no such study has been done to date.

The total phase shift in MZI arms is ϕ = ϕus + ϕes, where ϕus is the phase change due to unknown sources and ϕes is the phase change due to controllable experimental setup. However, ϕusϕes, so we can write ϕϕes, and for simplicity, throughout the paper, we can ignore the suffix of ϕes and denote it as ϕ. Therefore, for precise observation, one must adjust the phase difference between the arms of the MZI nearest to ϕ. We employ the single intensity detection (SID), intensity difference detection (IDD), and homodyne detection (HD) schemes,26,37 and we calculate the optimal solutions of phase sensitivity for all these detection schemes. In this paper, we are focused on the single parameter case, i.e., the phase change only in one arm of the interferometer. So, with the help of the single parameter quantum Fisher information (QFI) and its associated quantum Cramér–Rao bound (QCRB),28,71,72 we analyze the better performance in our MZI setup.

This paper is organized as follows: In Sec. II, we discuss the basics of interferometry by using different types of detection schemes and briefly discuss the SKS. Section III describes the phase sensitivity of MZI with SKS and coherent states as the inputs of MZI under the lossless condition. Section IV describes the phase sensitivity of MZI with SKS and coherent states as the inputs of MZI under lossy conditions. In Sec. V, we conclude our results.

Here, we will discuss the basics of phase estimation and parameter estimation with MZI and the generation of SKS. Here, we will see the operator transformations under the MZI action and the method of standard error propagation formula to calculate the phase sensitivity of the interferometer for different detection schemes. We will discuss the lower bound in phase sensitivity by considering the single parameter quantum Fisher information (QFI) and the corresponding quantum Cramér–Rao bound (QCRB). Furthermore, we will review the interaction of coherent light with Kerr media followed by the squeezer.

A standard MZI setup, as shown in Fig. 1, consists of two input ports (1st port and 2nd port) and two output ports (3rd port and 4th port) associated with two 50:50 beam splitters, two mirrors, and two detectors. Interferometry is a three-step process: probe state preparation, state evolution, and measurement. In probe preparation, two input states are mixed via the first beam splitter BS1 and the input/output mode transformations follow the SU(2) transformation.73,74 So, input/output relations via the BS1 is written as74 
(1)
Here, i=1, R1 (T1) represents the reflection (transmission) coefficient, and â1in,2in (â1out,2out) are the input (output) annihilation operators of the BS1. The probe state, during the propagation inside the interferometer, experiences the phase change and the resulting phase change between the probes is, say, ϕ. So, we consider the phase, ϕ, in any one of the arms as a single parameter case and allow the probes to recombine via the second beam splitter BS2. The transformation of annihilation operators, again, follows the relation in Eq. (1). Therefore, working with the two 50:50 beam splitters, i.e., R1,2=T1,2=1/2, and considering phase change during reflection (transmission) equal to π/2 (0), the relation between the output and input annihilation operators is written as
(2)
(3)
Here, ϕ is the phase difference between the two arms and â1,2 (â3,4) are the input (output) annihilation operators of the MZI. As a final step, data collected by the detectors at the output of MZI are analyzed by using statistical protocols and formulas. From the standard error propagation formula, the phase sensitivity of the interferometer reads
(4)
Here, L̂(ϕ) is an observable containing information about the phase change and ΔL̂(ϕ) is the standard deviation of L̂(ϕ) defined by
(5)
Here, ⟨⋯⟩ is the expectation value of the operator with respect to the state |ψin = |ψ1⟩ ⊗ |ψ2⟩, where |ψ1⟩ and |ψ2⟩ represent the input states at 1st and 2nd ports, respectively.
FIG. 1.

Schematic block diagram of MZI having two input and two output ports, including two 50:50 beam splitters (BS1 and BS2), two mirrors (M1 and M2), and two detectors (D1 and D2).

FIG. 1.

Schematic block diagram of MZI having two input and two output ports, including two 50:50 beam splitters (BS1 and BS2), two mirrors (M1 and M2), and two detectors (D1 and D2).

Close modal
We are considering three detection schemes: SID, IDD, and HD. In quantum mechanics, there must be an operator associated with the observable. Similarly, each detection scheme is also associated with an operator. For example, the operator associated with the SID scheme is
(6)
for the IDD scheme is
(7)
and for the HD scheme, performing at the 3rd port having quadrature operator, is
(8)
Here, N̂3(=â3â3) and N̂4(=â4â4) are the photon number operators for the 3rd and 4th ports of the MZI, respectively, and â3 (â3) is the annihilation (creation) operator associated with the 3rd port.
In an estimation procedure, our task is to estimate the value of a parameter, which is the total phase change in the arms of the MZI in the present case, from the data collected by n measurements, say {v1, v2, …, vn}. For measurements, we consider an operator Ô. The estimated value of the parameter will be characterized by the statistical error δϕ, whose lower bound is the Cramér–Rao bound (CRB),75,76
(9)
Here, n stands for the number of measurements and F(ϕ) denotes the classical Fisher information (CFI), defined by
(10)
Here, p(v|ϕ) is the probability that the outcome of a measurement is v when the value of the parameter is ϕ and ⟨⋯⟩ is the expectation value over the probability distribution p(v|ϕ). If we consider the quantum system, then p(v|ϕ)=Tr(ρ̂ϕΠ̂v), where ρ̂ϕ is the density operator and Π̂v is the positive operator-valued measure (POVM) for the outcome v. By introducing the symmetric logarithmic derivative (SLD), L̂ϕ, defined by 2ϕρ̂ϕ=L̂ϕρ̂ϕ+ρ̂ϕL̂ϕ, Eq. (10) can be written as
(11)
By maximizing F(ϕ) over all possible quantum measurements on the quantum system, we obtain the QFI as76,
(12)
and, thus, QCRB is28,
(13)
This gives us the ultimate precision achievable on the estimation of ϕ independent of a quantum measurement. Density operator, ρ̂ϕ, of a mixed state can be written in terms of the complete basis, {|k⟩}, as ρ̂ϕ=kpk|kk| with pk ≥ 0 and ∑kpk = 1. Therefore, QFI can be written as3,71
(14)
The density operator for a pure state |ψ⟩ is ρ̂=|ψψ|. For this case, Eq. (14) becomes71,77
(15)
Therefore, in order to find the single parameter QFI, we use Eq. (15), where |ψ⟩ is the state just before the second beam splitter (Fig. 1) and ϕ = /∂ϕ. So, by using the transformations given in Sec. II A, after some straightforward calculations, Eq. (15) can be written as28,77
(16)
Here, gl with l = 1, 2, …, 12 are given in Eq. (A9) of  Appendix A and complete expressions for the expectation values and their relations are given in  Appendix B.
The Kerr effect, also known as the quadratic electro-optic effect, is a change in the refractive index of a material medium in response to an applied electromagnetic field. In the Kerr medium, the electromagnetic field interacts with the material medium having third-order nonlinearity, where the refractive index is intensity dependent.73,78 The Hamiltonian, Ĥ, of this quantum mechanical system can be written as73,78
(17)
where ℏ is the Dirac constant, ω is the frequency, â(â) is the annihilation (creation) operator of the oscillator, and χ(3) is the third-order susceptibility of the Kerr medium. The operator associated with the Kerr medium is
(18)
where n̂(=ââ) is the photon number operator and
(19)
where L is the length of the Kerr medium and v is the velocity of the electromagnetic field into the Kerr medium. As we can see from Eq. (19), γ tells us about the interaction time of the electromagnetic field with χ(3) material medium, so we can call γ the Kerr interaction coefficient. The factor γ plays an important role in our discussion to understand the effect of the Kerr medium on the phase sensitivity of the MZI.
The squeezing operator for a single-mode electromagnetic field is73 
(20)
where ζ = re, with r being the squeezing parameter and θ gives the phase information of the squeezing.
In order to find the SKS, simply inject the coherent state into the Kerr medium followed by squeezing. So, injecting the light beam (in coherent state |β⟩) through the material having χ(3) nonlinearity results in a Kerr state, which can be written as
(21)
Now, the application of the squeezing operator on the Kerr state gives us the SKS, i.e.,
(22)
Let â be the field operator for the coherent state, and then, the field operator associated with SKS can be written as
(23)
From the Baker–Campbell–Hausdorff formula,79 we can write the squeezing field operator as
(24)
and the Kerr state field operator as
(25)
Therefore, the field operator for the SKS can be written as
(26)
We use this operator in our calculations in order to find the general result for the phase sensitivity using the SKS as one of the inputs of the MZI. It is to be noted that the SKS, as shown in Fig. 2, can be used to generate different states under different conditions.
FIG. 2.

Special cases of SKS.

FIG. 2.

Special cases of SKS.

Close modal

Here, we will discuss the phase sensitivity of the MZI using the coherent state, |α⟩, and SKS, |ψSK⟩, as the inputs in the 1st and 2nd input ports, respectively (Fig. 1). The phase sensitivity, i.e., Δϕ, for different detection schemes are functions of six different variables (ϕ, α, β, θ, γ, and r). In order to optimize the parameters, we divide our results into different subsections by considering the special cases.

For the lossless case, the relation between the output and input annihilation operators of the MZI is given by Eqs. (2) and (3). For the case of squeezed Kerr state and coherent state as the inputs of the MZI, i.e., |ψin = |α1 ⊗ |ψSK2, the detailed expressions of the corresponding phase sensitivity associated with SID, IDD, and HD schemes are derived in  Appendix A and can be written as
(27)
(28)
(29)
where Δϕsid, Δϕidd, and Δϕhd are the phase sensitivity for SID, IDD, and HD schemes in lossless case, respectively, and gl with l = 1, 2, …, 9 are given in Eq. (A9) and the complete expressions for the expectation values and their relations are given in  Appendix B. The calculation of QCRB is done by using Eq. (16) in Eq. (13).

Note that, throughout the calculations, without loss of generality, we take α = |α|, β = |β|, and θ = π, since, analytically, we found that θ = π gives better results in comparison with other values of θ in all the cases.

The central task of our work is to find the effect of Kerr nonlinearity (in terms of γ) and Kerr nonlinearity with squeezing parameter (r) on the Δϕ of the MZI for three different detection schemes. So, in each case, we will try to see the variation of Δϕ with γ. To be more clear, we divide our discussions into two parts: (i) |ψin = |0⟩1 ⊗ |ψSK2; (ii)|ψin = |α1 ⊗ |ψSK2.

For the case of |ψin = |0⟩1 ⊗ |ψSK2, Eqs. (27)(29) become
(30)
(31)
and
(32)
respectively. From Eqs. (30) and (31), we can see that in the case of optimal phase, i.e., for which phase sensitivity becomes maximum, the phase sensitivity for SID and IDD schemes becomes
(33)
Here, g2 is the total photon number in the second input port and is given in Eq. (B4).
Case (i): The r = 0 case, i.e., |ψin = |0⟩1 ⊗ |ψK2. In this case, g2 becomes |β|2. This implies that, for optimal values of ϕ, Δϕsid and Δϕidd saturate the SNL and is independent of γ (Fig. 3). Furthermore, for the HD scheme, we see that in the case of r = 0, Eq. (32) becomes
(34)
where c, c2, s and s2 are given in  Appendix B and for γ = 0,
(35)
At ϕ = π/2, we get the maximum value of Δϕhd, which is nothing but the SNL. Hence, at r = γ = 0, we get Δϕsid = Δϕidd = Δϕhd = ΔϕSNL and these are well-known results.
FIG. 3.

Plots of ΔϕϕSNL with γ for different values of |β| (= 2, 5 and 15). One can see that ΔϕϕSNL is equal to 1 for both the SID and IDD schemes, i.e., SID and IDD saturate the SNL, while for HD scheme, ΔϕϕSNL < 1, i.e., Δϕhd beats the SNL. Other parameters are r = 0, θ = π, |α| = 0, and ϕ = π, π/2, 7π/4 for the SID, IDD, and HD schemes, respectively.

FIG. 3.

Plots of ΔϕϕSNL with γ for different values of |β| (= 2, 5 and 15). One can see that ΔϕϕSNL is equal to 1 for both the SID and IDD schemes, i.e., SID and IDD saturate the SNL, while for HD scheme, ΔϕϕSNL < 1, i.e., Δϕhd beats the SNL. Other parameters are r = 0, θ = π, |α| = 0, and ϕ = π, π/2, 7π/4 for the SID, IDD, and HD schemes, respectively.

Close modal

From Eq. (34), we find that for r = 0, Δϕhd depends on γ, as one can see in Fig. 3. So, for the HD scheme with γ ≠ 0, the optimum value of ϕ varies with |β|. We analytically found that for a wide range of values of |β|(∼1–100), the optimum value of ϕ is approximately 7π/4. So, it is interesting to mention that with the optimum value of ϕ = 7π/4, Δϕhd beats SNL for some non-zero values of γ, keeping the first input port as vacuum (Fig. 3). This is in agreement with the recent study of Takeoka et al.38 that a system working with a vacuum state in one port and a nonclassical state on the other port can beat the SNL if only one of the arms of the MZI has an unknown phase shift (i.e., single parameter estimation case) and the detector uses any external phase reference and power resource during the detection process. In our work, we are taking the Kerr state as a nonclassical state67 and we are not ignoring the global phase factor as is obvious in Eqs. (2) and (3). If we ignore the global phase factor, the phase sensitivity never beats the SNL; we can see this in Fig. 4. This means that the global phase factor acts as an external phase source for the HD scheme and beating of the SNL, in Fig. 3, is not the violation of the “no-go theorem.”23,38

FIG. 4.

Plots of phase sensitivity, (Δϕ), with ϕ for |β| = 5 and γ = 0.01. Δϕhd beats the SNL only when we consider the global phase, while in the case of without a global phase, we never beat the SNL. Other parameters are r = 0, θ = π, and |α| = 0.

FIG. 4.

Plots of phase sensitivity, (Δϕ), with ϕ for |β| = 5 and γ = 0.01. Δϕhd beats the SNL only when we consider the global phase, while in the case of without a global phase, we never beat the SNL. Other parameters are r = 0, θ = π, and |α| = 0.

Close modal

We note that for the case of the HD scheme, the normalized phase sensitivity [(Δϕ)/SNL] cannot reach up to 1 for γ = 0 (Fig. 3). This is because, here, we plot the graph at ϕ = 7π/4, while the optimal value of ϕ is π/2 for the case of γ = 0. Similar cases arise for Figs. 5 and 6.

FIG. 5.

Plots of ΔϕϕSNL with γ for different values of r. One can see that the phase sensitivity saturates the SNL for both the SID and IDD schemes for r = 0 and r ≠ 0, while the phase sensitivity for the HD scheme beats the SNL. QCRB, for different values of r, shows the lower limit achieved by the system. Other parameters are |β| = 5, θ = π, |α| = 0, and ϕ = π, π/2 for SID and IDD schemes, respectively.

FIG. 5.

Plots of ΔϕϕSNL with γ for different values of r. One can see that the phase sensitivity saturates the SNL for both the SID and IDD schemes for r = 0 and r ≠ 0, while the phase sensitivity for the HD scheme beats the SNL. QCRB, for different values of r, shows the lower limit achieved by the system. Other parameters are |β| = 5, θ = π, |α| = 0, and ϕ = π, π/2 for SID and IDD schemes, respectively.

Close modal
FIG. 6.

Plots of ΔϕϕSNL with γ for different values of r. In the case of the SID and IDD schemes, the phase sensitivity saturates the SNL for both r = 0 and r ≠ 0, while the phase sensitivity for the HD scheme beats the SNL. QCRB, for different values of r, shows the lower limit achieved by the system. Other parameters are |β| = 50, θ = π, |α| = 0, and ϕ = π, π/2 for the SID and IDD schemes, respectively.

FIG. 6.

Plots of ΔϕϕSNL with γ for different values of r. In the case of the SID and IDD schemes, the phase sensitivity saturates the SNL for both r = 0 and r ≠ 0, while the phase sensitivity for the HD scheme beats the SNL. QCRB, for different values of r, shows the lower limit achieved by the system. Other parameters are |β| = 50, θ = π, |α| = 0, and ϕ = π, π/2 for the SID and IDD schemes, respectively.

Close modal

Case (ii): The r ≠ 0 case, i.e., |ψin = |0⟩1 ⊗ |ψSK2. From Eqs. (33) and (B4), we find that Δϕsid and Δϕidd are dependent on γ. This means that the Kerr medium plays a role in the variation of phase sensitivity in the case of the SID and IDD schemes when r ≠ 0, but it should be noted that still, phase sensitivity only saturates the SNL (Figs. 5 and 6). In order to visualize the effect of γ on Δϕ, we consider two values (lower and higher energies) of |β| = 5 and 100 and see the variation of ΔϕϕSNL with γ for different values of the squeezing parameter r (plots are shown in Figs. 5 and 6). In Figs. 5 and 6, we can see that phase sensitivity for SID and IDD saturates the SNL for all values of γ. Meanwhile, a significant enhancement in phase sensitivity occurs for the HD scheme. We also plot ΔϕQCRBϕSNL and ΔϕHLϕSNL, and we can see that for some values of γ, phase sensitivity for the HD scheme saturates QCRB and approaches HL. As we can see, phase sensitivity is enhanced with an increase in r, so to enhance the precision, one can use the higher squeezing for a better phase sensitivity. It is important to mention here that the current record for the squeezing factor (15.3 dB or r = 1.7) is reported in Ref. 41.

Furthermore, in Fig. 3 and also in Figs. 5 and 6, we can see that the maximum phase sensitivity depends on |β| and on γ in case of the HD scheme. As |β| changes, the corresponding optimal value of γ for which we get the maximum phase sensitivity also changes. So, in order to explore the effect of |β| and γ on Δϕhd, we plot a graph between |β| and γ and show the variation in phase sensitivity via color change in the graph (Fig. 7). Figure 7 gives two important results from an experimental point of view: (i) an enhancement in Δϕhd (phase sensitivity) with an increase in the value of |β|, and (ii) for higher values of |β|, a decrease in the optimal value of γ. The decrease in the value of γ means that the interaction time of light with the Kerr medium decreases [Eq. (19)]. Thus, we can say that the Kerr medium plays an important role in the enhancement of the phase sensitivity with the HD scheme.

FIG. 7.

Color graph, for the HD scheme, in between |β| and γ, where color variation shows ΔϕϕSNL. This graph gives two results: First, with an increase in the value of |β|, an enhancement in Δϕ (phase sensitivity) occurs, and second, for higher values of |β|, the corresponding optimal value of γ decreases. Other parameters are ϕ = 7π/4, θ = π, |α| = 0, r = 0.

FIG. 7.

Color graph, for the HD scheme, in between |β| and γ, where color variation shows ΔϕϕSNL. This graph gives two results: First, with an increase in the value of |β|, an enhancement in Δϕ (phase sensitivity) occurs, and second, for higher values of |β|, the corresponding optimal value of γ decreases. Other parameters are ϕ = 7π/4, θ = π, |α| = 0, r = 0.

Close modal

For the case of SKS and coherent state as the inputs of the MZI, i.e., |ψin = |α1 ⊗ |ψSK2, the expressions of the corresponding phase sensitivity associated with the SID, IDD, and HD schemes are given in Eqs. (27)(29), respectively.

Since Δϕ is dependent on the input number of photons, N = g1 + g2, and N depends on the parameters |α|, |β|, γ, θ, and r, we can figure out the role of these parameters on Δϕ by looking the variation of N with these parameters. We have seen in previous cases that the phase sensitivity is better for θ = π in comparison with the other values of θ and, so, here we consider θ = π. Now, we see the variation in N with γ for different values of r in three different cases by considering low and high energy limits at the input, viz., (i) |α| = 3 and |β| = 2, (ii) |α| = 100 and |β| = 2, and (iii) |α| = 100 and |β| = 100, as shown in Fig. 8. We find that N is independent of γ in the case of r = 0, but for the case r ≠ 0, a rapid growth in N is seen as γ is increasing. This is because the nonlinear index of refraction of the medium modifies the phases of the number states in the initial coherent state, but photon statistics of the field remain Poissonian.66 The effect of the Kerr medium on photon statistics becomes readily apparent by application of the squeeze operator.66 As we can see that, in Fig. 8, in the case of squeezed coherent state, |ψS⟩ (r ≠ 0 and γ = 0), the photon number decreases, while for γ ≠ 0, it varies rapidly. That is, variation in the input number of photons, N, is dependent on the interaction of photons in the Kerr medium.

FIG. 8.

Variation in N with γ by considering the different values of r for (a) |α| = 3, |β| = 2; (b) |α| = 100, |β| = 2; and (c) |α| = 100, |β| = 100. We find that N does not vary with γ in the case of r = 0, but for the case r ≠ 0, a rapid growth is seen. Here, we take θ = π.

FIG. 8.

Variation in N with γ by considering the different values of r for (a) |α| = 3, |β| = 2; (b) |α| = 100, |β| = 2; and (c) |α| = 100, |β| = 100. We find that N does not vary with γ in the case of r = 0, but for the case r ≠ 0, a rapid growth is seen. Here, we take θ = π.

Close modal

As a particular case, let us consider two cases: (i) r = 0, i.e., |ψin = |α1 ⊗ |ψK2 (when the second input is the Kerr state), and (ii) r ≠ 0, i.e., |ψin = |α1 ⊗ |ψSK2 (when the second input is the squeezed Kerr state).

1. Kerr state at the second input port

It is obvious from Eqs. (27)(29) that for r = 0, Δϕ still depends on |α|, |β|, γ, and ϕ. In the case of |α| = 0, the calculation of the optimal value of ϕ for different detection cases was straightforward, but, here, it is relatively hard. So, keeping in mind the lower and high energy inputs, we consider four cases: (i) |α| = 3 and |β| = 2, (ii) |α| = 50 and |β| = 2, (iii) |α| = 3 and |β| = 50, and (iv) |α| = 50 and |β| = 50, and plot the ϕ vs γ graph as shown in Figs. 912, respectively, where color variation shows ΔϕϕSNL. We can see that the phase sensitivity is better in the IDD scheme as compared to the SID and HD schemes having optimal phase 3π/4 or 7π/4 in case (i), as shown in Fig. 9. In cases (ii)–(iv), all three detection schemes exhibit a better phase sensitivity with different optimal phases, as shown in Figs. 1012, respectively. Multiple color regions in the phase sensitivity pattern in cases (iii) and (iv) are because of the fluctuation in N, as previously we saw in Fig. 8(c).

FIG. 9.

Color graphs show how optimal phase ϕopt varies with ϕ and γ in different detection schemes. We can see that the phase sensitivity is better in the IDD scheme, having optimal phase 3π/4 or 7π/4. Other parameters are θ = π, |α| = 3, |β| = 2, r = 0.

FIG. 9.

Color graphs show how optimal phase ϕopt varies with ϕ and γ in different detection schemes. We can see that the phase sensitivity is better in the IDD scheme, having optimal phase 3π/4 or 7π/4. Other parameters are θ = π, |α| = 3, |β| = 2, r = 0.

Close modal
FIG. 10.

Color graphs show how optimal phase ϕopt varies with ϕ and γ in different detection schemes. We can see that the phase sensitivity is better in all detection schemes, having different optimal phases. Other parameters are θ = π, |α| = 50, |β| = 2, r = 0.

FIG. 10.

Color graphs show how optimal phase ϕopt varies with ϕ and γ in different detection schemes. We can see that the phase sensitivity is better in all detection schemes, having different optimal phases. Other parameters are θ = π, |α| = 50, |β| = 2, r = 0.

Close modal
FIG. 11.

Color graphs show how optimal phase ϕopt varies with ϕ and γ in different detection schemes. We can see that the phase sensitivity is better in the HD scheme, having optimal phases 0 or 2π. Other parameters are θ = π, |α| = 3, |β| = 50, r = 0.

FIG. 11.

Color graphs show how optimal phase ϕopt varies with ϕ and γ in different detection schemes. We can see that the phase sensitivity is better in the HD scheme, having optimal phases 0 or 2π. Other parameters are θ = π, |α| = 3, |β| = 50, r = 0.

Close modal
FIG. 12.

Color graphs show how optimal phase ϕopt varies with ϕ and γ in different detection schemes. We can see that the phase sensitivity is better in all detection schemes, having a broad optimal phase range. Other parameters are θ = π, |α| = 50, |β| = 50, r = 0.

FIG. 12.

Color graphs show how optimal phase ϕopt varies with ϕ and γ in different detection schemes. We can see that the phase sensitivity is better in all detection schemes, having a broad optimal phase range. Other parameters are θ = π, |α| = 50, |β| = 50, r = 0.

Close modal

So, in conclusion, we find that, in enhancing the phase sensitivity of the interferometer, the coherent input with the Kerr state is more useful than the double coherent input, in approximately all the situations.

2. Squeezed Kerr state at the second input port

Here, we explore Eqs. (27)(29) by considering r ≠ 0. For a better phase sensitivity, the optimal value of ϕ depends on the parameters |α|, |β|, γ, and r similar to Sec. III B 1. In order to explore the effect of γ on Δϕ, for the three detection schemes, we find a nearly optimal value of ϕ by using the analytical method. Analytically, we find that for the cases (i) |α| = 3, |β| = 2; (ii) |α| = 50, |β| = 2; (iii) |α| = 50, |β| = 50; and (iv) |α| = 3, |β| = 50, the optimal phases ϕopt for the SID scheme will be 9π/8, π/4, 9π/8, and 9π/8, respectively. However, all these four cases have ϕopt = π/2 for the IDD scheme and ϕopt = 0 for the HD scheme. Since we find that squeezing triggers the photon enhancement in the Kerr medium at several instances, as shown in Fig. 8, so here we choose the value of r = 1.5 for our convenience. So, we plot ΔϕϕSNL vs γ by taking ϕopt for r = 1.5. Figures 1316 show the phase sensitivity for the four cases (i)–(iv), respectively. We can see that the Kerr medium remarkably enhances the phase sensitivity. If we look at the performance of the three detection schemes, we find that the HD scheme is dominant in all four cases than the IDD scheme, which, in turn, is doing better than the SID scheme.

FIG. 13.

Variation in phase sensitivity, Δϕ, with γ when the inputs are |α| = 3, |β| = 2. If we see the performance of the three detection schemes, we find that the HD scheme is dominant than the IDD scheme, which is doing better than the SID scheme. Other parameters are θ = π, r = 1.5, and ϕ=0,π2,9π8 for the HD, IDD, and SID schemes, respectively.

FIG. 13.

Variation in phase sensitivity, Δϕ, with γ when the inputs are |α| = 3, |β| = 2. If we see the performance of the three detection schemes, we find that the HD scheme is dominant than the IDD scheme, which is doing better than the SID scheme. Other parameters are θ = π, r = 1.5, and ϕ=0,π2,9π8 for the HD, IDD, and SID schemes, respectively.

Close modal
FIG. 14.

Variation in phase sensitivity, Δϕ, with γ when the inputs are |α| = 50, |β| = 2. We can see that the Kerr medium enhances the phase sensitivity. We find that the HD scheme and the IDD scheme are doing better than the SID scheme. Other parameters are θ = π, r = 1.5, and ϕ=0,π2,π4 for the HD, IDD, and SID schemes, respectively.

FIG. 14.

Variation in phase sensitivity, Δϕ, with γ when the inputs are |α| = 50, |β| = 2. We can see that the Kerr medium enhances the phase sensitivity. We find that the HD scheme and the IDD scheme are doing better than the SID scheme. Other parameters are θ = π, r = 1.5, and ϕ=0,π2,π4 for the HD, IDD, and SID schemes, respectively.

Close modal
FIG. 15.

Variation in phase sensitivity, Δϕ, with γ when the inputs are |α| = 50, |β| = 50. We can see that the Kerr medium remarkably enhances the phase sensitivity. The HD scheme is more dominant than the IDD scheme, which is doing better than the SID scheme. Other parameters are θ = π, r = 1.5, and ϕ=0,π2,9π8 for the HD, IDD, and SID schemes, respectively.

FIG. 15.

Variation in phase sensitivity, Δϕ, with γ when the inputs are |α| = 50, |β| = 50. We can see that the Kerr medium remarkably enhances the phase sensitivity. The HD scheme is more dominant than the IDD scheme, which is doing better than the SID scheme. Other parameters are θ = π, r = 1.5, and ϕ=0,π2,9π8 for the HD, IDD, and SID schemes, respectively.

Close modal
FIG. 16.

Variation in phase sensitivity, Δϕ, with γ when the inputs are |α| = 3, |β| = 50. We can see that the Kerr medium remarkably enhances the phase sensitivity. We see the performance of the three detection schemes, and we find that the HD scheme is better than the IDD scheme, which is better than the SID scheme. Other parameters are θ = π, r = 1.5, and ϕ=0,π2,9π8 for the HD, IDD, and SID schemes, respectively.

FIG. 16.

Variation in phase sensitivity, Δϕ, with γ when the inputs are |α| = 3, |β| = 50. We can see that the Kerr medium remarkably enhances the phase sensitivity. We see the performance of the three detection schemes, and we find that the HD scheme is better than the IDD scheme, which is better than the SID scheme. Other parameters are θ = π, r = 1.5, and ϕ=0,π2,9π8 for the HD, IDD, and SID schemes, respectively.

Close modal

On comparison of the four cases (i)–(iv), we find that increased values of |α| and |β| enhance the phase sensitivity, but it is important to note that variation in |β| affects more than that for |α|. As we can see in Figs. 15 and 16, the increase in |α| is less effective for the larger values of |β|. On the other hand, the increase in |β| gets more effective even though |α| is large enough (Figs. 14 and 15).

So, from these results, we can compare the sensitivities of MZI for the two cases of inputs: (i) coherent plus SKS, i.e., |α1 ⊗ |ψSK2, and (ii) coherent plus squeezed vacuum, i.e., |α1 ⊗ |ψSV2. To do this, we plot a color graph in between γ and |β|, where color variation shows ΔϕϕSNL, for the IDD and HD schemes only. Since, analytically, we know that Δϕopt for the IDD and HD schemes is π/2 and 0, respectively, for all the values of |α| and |β|, in the case of SID, Δϕopt varies with |β|. Figures 17 and 18 show the variation for IDD and HD, respectively, in which the dark region shows the maximum phase sensitivity, and we can see that the combination of coherent plus squeezed Kerr (γ ≠ 0, |β| ≠ 0) states as inputs gives a better phase sensitivity than the coherent plus squeezed vacuum (γ = 0, |β| = 0) states as inputs. This improvement can also be seen easily from Eqs. (28) and (29) if we put the optimal values of ϕ and θ for the respective cases. For example, for the HD scheme: ϕ = 0, θ = π, Eq. (29) becomes
(36)
with
(37)
Here, c=e|β|2(cos2γ1),c2=e|β|2(cos4γ1),s=|β|2sin2γ and s2 = |β|2 sin 4γ. With |β| = 0, Eq. (36) gives Δϕhd=e2r/|α| and this is the phase sensitivity for the coherent plus squeezed vacuum state as the input. In the case of non-zero |β| (i.e., in SKS case), for some values of γ (shown in Fig. 18), s is greater than π and A → 0. For example, for |β| = 30, we have the corresponding value of γ ≈ 0.0018, which gives s ≈ 3.24, s2 ≈ 9.72, c ≈ 0.99, c2 ≈ 0.95, and A → 0, indicating the improvement in phase sensitivity as compared to the case of squeezed vacuum state as the input. Similarly, we can also get a simpler relation for the IDD case.
FIG. 17.

Variation in ΔϕϕSNL with γ and |β| for the IDD scheme. The dark region shows the maximum phase sensitivity, and we can see that the combination of coherent plus squeezed Kerr (γ ≠ 0, |β| ≠ 0) states as the input gives a better phase sensitivity than the coherent plus squeezed vacuum (γ = 0, |β| = 0) states as the input. Other parameters are θ = π, r = 1.5, |α| = 50, and ϕ = π/2 for the IDD detection scheme.

FIG. 17.

Variation in ΔϕϕSNL with γ and |β| for the IDD scheme. The dark region shows the maximum phase sensitivity, and we can see that the combination of coherent plus squeezed Kerr (γ ≠ 0, |β| ≠ 0) states as the input gives a better phase sensitivity than the coherent plus squeezed vacuum (γ = 0, |β| = 0) states as the input. Other parameters are θ = π, r = 1.5, |α| = 50, and ϕ = π/2 for the IDD detection scheme.

Close modal
FIG. 18.

Variation in ΔϕϕSNL with γ and |β| for the HD scheme. The dark region shows the maximum phase sensitivity, and we can see that the combination of coherent plus squeezed Kerr (γ ≠ 0, |β| ≠ 0) states as inputs give better phase sensitivity than the coherent plus squeezed vacuum (γ = 0, |β| = 0) state as the input. Other parameters are θ = π, r = 1.5, |α| = 50, and ϕ = 0 for the HD detection scheme.

FIG. 18.

Variation in ΔϕϕSNL with γ and |β| for the HD scheme. The dark region shows the maximum phase sensitivity, and we can see that the combination of coherent plus squeezed Kerr (γ ≠ 0, |β| ≠ 0) states as inputs give better phase sensitivity than the coherent plus squeezed vacuum (γ = 0, |β| = 0) state as the input. Other parameters are θ = π, r = 1.5, |α| = 50, and ϕ = 0 for the HD detection scheme.

Close modal

Here, we see the effect of internal and external losses on the phase sensitivity of the interferometer and the behavior of the factor γ under realistic scenarios. So, for this purpose, we consider the cases of best performances under lossless conditions (Sec. III).

In quantum optics, photon loss can occur in two ways. In the first way, reflections or refractions of photons in undesired directions by means of optical elements are used in the setup of the quantum optics experiment (we call it internal photon loss). In the second way, the sensitivity of detectors is used for the detection of photons in the experiment (we call it external photon loss). Typically, photon loss can be modeled by considering a fictitious beam splitter that routes photons out of the interferometer (Fig. 19).74 Suppose that there is a fictitious beam splitter having transmittivity τ. Let us take the annihilation operator î corresponding to the input photons, and v̂ corresponds to the annihilation operator for the vacuum. Therefore, the annihilation operator t̂ for the transmitted photons can be written in terms of î and v̂ as
(38)
In order to consider the photon loss, we simply take the transmitted photons from the fictitious beam splitter as our main signal and reflected photons as loss (Fig. 19). Therefore, for internal photon loss, we use a fictitious beam splitter, with transmittivity μ, in both arms of the interferometer (Fig. 20), and for external photon loss, we use a fictitious beam splitter, with transmittivity η, at the outputs of the interferometer. The relation between the input and output annihilation operators under the photon loss (both internal and external) conditions, as shown in Fig. 20, is
(39)
(40)
where â3 and â4 are the output annihilation operators corresponding to the 3rd and 4th ports, respectively. Here, m̂1,m̂2,n̂1 and n̂2 are the vacuum annihilation operators associated with the fictitious beam splitter of the corresponding modes, as shown in Fig. 20. Therefore, for the lossy case, the phase sensitivity associated with the SID, IDD, and HD schemes, when squeezed Kerr state and coherent state are taken as the inputs of the MZI, i.e., |ψin = |α1 ⊗ |ψSK2, can be written as
(41)
(42)
(43)
Here, gl with l = 1, 2, …, 9 are given in Eq. (A9). The detailed expressions of the corresponding phase sensitivity associated with the SID, IDD, and HD schemes in lossy cases are derived in  Appendix C.
FIG. 19.

Schematic diagram of a fictitious beam splitter mimicking the photon loss.

FIG. 19.

Schematic diagram of a fictitious beam splitter mimicking the photon loss.

Close modal
FIG. 20.

Schematic diagram of MZI having two inputs and two outputs associated with two 50:50 beam splitters (BS1 and BS2), two mirrors (M1 and M2), and two detectors (D1 and D2). In order to consider the internal (external) loss, we consider the fictitious beam splitters having a transmission coefficient μ(η) in the internal (external) arms of the interferometer. m̂1,m̂2,n̂1 and n̂2 are the vacuum annihilation operators of the corresponding modes.

FIG. 20.

Schematic diagram of MZI having two inputs and two outputs associated with two 50:50 beam splitters (BS1 and BS2), two mirrors (M1 and M2), and two detectors (D1 and D2). In order to consider the internal (external) loss, we consider the fictitious beam splitters having a transmission coefficient μ(η) in the internal (external) arms of the interferometer. m̂1,m̂2,n̂1 and n̂2 are the vacuum annihilation operators of the corresponding modes.

Close modal

We can see that Eqs. (41)(43) depict that internal (μ) and external (η) losses show an equal effect on the phase sensitivity in the case of the SID, IDD, and HD schemes, respectively. So, we can consider either internal or external loss and can see the variation in Δϕ with γ.

Here, we are considering the case of photon loss under different combinations as discussed in Sec. III. So, let us start with |ψin = |0⟩1 ⊗ |ψSK2, and Eqs. (41)(43) can be written as
(44)
(45)
(46)
Figures 21 and 22 show the variation of ΔϕϕSNL with γ for r = 0 and r = 1.5, respectively. For the Kerr state, in Fig. 21, we can see that in the case of the HD scheme, we can surpass the SNL in lossy case (for <20% loss) for some values of γ. On the one hand, for the SID and IDD schemes, we are getting a worse phase sensitivity compared to SNL under lossy conditions. On the other hand, if we take SKS, we can surpass the SNL even for more than 40% photon loss in the HD scheme (Fig. 22), while the SID and IDD schemes yet give a worse phase sensitivity with loss compared to SNL.
FIG. 21.

Variation of ΔϕϕSNL with γ for r = 0. We can see that in the case of the HD scheme, we can surpass the SNL in the lossy case (for <20% loss) for some values of γ. While for the SID and IDD schemes, we are getting a worse phase sensitivity compared to SNL under lossy conditions. Other parameters are ϕ = π, π/2, 7π/4 for SID, IDD, and HD, respectively, and r = 0, θ = π, |α| = 0, |β| = 5, and η = 1.

FIG. 21.

Variation of ΔϕϕSNL with γ for r = 0. We can see that in the case of the HD scheme, we can surpass the SNL in the lossy case (for <20% loss) for some values of γ. While for the SID and IDD schemes, we are getting a worse phase sensitivity compared to SNL under lossy conditions. Other parameters are ϕ = π, π/2, 7π/4 for SID, IDD, and HD, respectively, and r = 0, θ = π, |α| = 0, |β| = 5, and η = 1.

Close modal
FIG. 22.

Variation of ΔϕϕSNL with γ for r = 1.5. We can surpass the SNL even for more than 40% photon loss in the HD scheme, while the SID and IDD schemes give a worse phase sensitivity with loss compared to SNL. Other parameters are ϕ = π, π/2, 0 for SID, IDD, and HD, respectively, and r = 1.5, θ = π, |α| = 0, |β| = 50, and η = 1.

FIG. 22.

Variation of ΔϕϕSNL with γ for r = 1.5. We can surpass the SNL even for more than 40% photon loss in the HD scheme, while the SID and IDD schemes give a worse phase sensitivity with loss compared to SNL. Other parameters are ϕ = π, π/2, 0 for SID, IDD, and HD, respectively, and r = 1.5, θ = π, |α| = 0, |β| = 50, and η = 1.

Close modal

Now, we are considering the case in which the input state is |ψin = |α1 ⊗ |ψSK2. The phase sensitivity for this case is given in Eqs. (41)(43) for all three cases. Figures 23 and 24 show the variation of ΔϕϕSNL with γ for r = 0 and r = 1.5, respectively. For the Kerr state, in Fig. 23, we can see that in all three cases, we can surpass the SNL in the lossy case (for <30% loss) for some values of γ. If we take SKS, we can surpass the SNL even for more than 40% photon loss in the HD scheme (Fig. 24) and the IDD scheme gives a phase sensitivity below the SNL for more than 20% photon loss. For the SID scheme, even for lossless cases, we cannot beat the SNL.

FIG. 23.

Variation of ΔϕϕSNL with γ for r = 0. We can see that in all three cases, we can surpass the SNL in the lossy case (for <30% loss) for some values of γ. Other parameters are ϕ = 6.2, π/2, 0 for SID, IDD, and HD, respectively, and r = 0, θ = π, |α| = 50, |β| = 2, and η = 1.

FIG. 23.

Variation of ΔϕϕSNL with γ for r = 0. We can see that in all three cases, we can surpass the SNL in the lossy case (for <30% loss) for some values of γ. Other parameters are ϕ = 6.2, π/2, 0 for SID, IDD, and HD, respectively, and r = 0, θ = π, |α| = 50, |β| = 2, and η = 1.

Close modal
FIG. 24.

Variation of ΔϕϕSNL with γ for r = 1.5. We can surpass the SNL even for more than 40% photon loss in the HD scheme, and the IDD scheme gives a phase sensitivity below the SNL for more than 20% photon loss. For the SID scheme, even for a lossless case, we cannot beat the SNL. Other parameters are ϕ=9π8,π/2,0 for SID, IDD, and HD, respectively, and r = 1.5, θ = π, |α| = 50, |β| = 50, and η = 1.

FIG. 24.

Variation of ΔϕϕSNL with γ for r = 1.5. We can surpass the SNL even for more than 40% photon loss in the HD scheme, and the IDD scheme gives a phase sensitivity below the SNL for more than 20% photon loss. For the SID scheme, even for a lossless case, we cannot beat the SNL. Other parameters are ϕ=9π8,π/2,0 for SID, IDD, and HD, respectively, and r = 1.5, θ = π, |α| = 50, |β| = 50, and η = 1.

Close modal
We can also see this improvement by putting optimal values of ϕ and θ in Eqs. (42) and (43). For example, in the HD case, ϕ = 0 and θ = π are the optimal values, so Eq. (43) becomes
(47)
Here, A is given in Eq. (37) and c=e|β|2(cos2γ1),s=|β|2sin2γ. With |β| = 0, Eq. (47) gives Δϕhd=(1ημ1)+e2r/|α|, which is the phase sensitivity for the coherent plus squeezed vacuum state as the input in the lossy case. In the case of non-zero |β| (i.e., in the SKS case), there are instances of the values of γ corresponding to |β| (shown in Fig. 18) for which s is greater than π and A → 0 indicates an improvement in the phase sensitivity as compared to the squeezed vacuum state as the input case. Similarly, we can also get a simpler equation for the IDD case.

We studied the phase super-sensitivity of a MZI using the SKS as one of the inputs. We studied the effect of the Kerr medium on the phase sensitivity of a MZI with squeezing (i.e., |ψSK⟩) and without squeezing state (i.e., |ψK⟩). We found several conditions under which the SKS gives a better sensitivity than other combinations of input states, viz., coherent plus squeezed vacuum state, coherent plus vacuum state, and coherent plus coherent state. We discuss our results in Secs. III and IV for lossless and lossy conditions, respectively. These sections are further divided into subsections based on the input combinations of the light.

To conclude the results found in Secs. III and IV, we have made Tables I and II, respectively. These tables contain the approximated best values of ΔϕϕSNL for different cases from their respective plots for all three detection schemes, namely, SID, IDD, and HD, in order to conclude the results step by step.

TABLE I.

The best values of ΔϕϕSNL of all three detection schemes for different cases under lossless conditions. The values listed here are approximated values taken from the graphs plotted in Sec. III.

|ψin|α||β|ΔϕsidϕSNLΔϕiddϕSNLΔϕhdϕSNL
|0⟩ ⊗ |ψK⟩ =1 =1 0.9 
=1 =1 0.85 
15 =1 =1 0.85 
|0⟩ ⊗ |ψSKa =1 =1 0.15 
50 =1 =1 0.09 
|α⟩ ⊗ |ψK⟩ >1 =1 >1 
50 0.65 0.72 0.73 
50 1 1 1 
50 50 0.8 0.8 0.8 
|α⟩ ⊗ |β⟩ =1 =1 =1 
50 =1 =1 =1 
50 =1 =1 =1 
50 50 =1 =1 =1 
|α⟩ ⊗ |ψSKa 3 1.2 0.27 
50 0.6 0.2 0.18 
50 50 1.8 0.35 0.23 
50 1 =1 0.085 
|α⟩ ⊗ |ψSVa 50  0.23 0.23 
|ψin|α||β|ΔϕsidϕSNLΔϕiddϕSNLΔϕhdϕSNL
|0⟩ ⊗ |ψK⟩ =1 =1 0.9 
=1 =1 0.85 
15 =1 =1 0.85 
|0⟩ ⊗ |ψSKa =1 =1 0.15 
50 =1 =1 0.09 
|α⟩ ⊗ |ψK⟩ >1 =1 >1 
50 0.65 0.72 0.73 
50 1 1 1 
50 50 0.8 0.8 0.8 
|α⟩ ⊗ |β⟩ =1 =1 =1 
50 =1 =1 =1 
50 =1 =1 =1 
50 50 =1 =1 =1 
|α⟩ ⊗ |ψSKa 3 1.2 0.27 
50 0.6 0.2 0.18 
50 50 1.8 0.35 0.23 
50 1 =1 0.085 
|α⟩ ⊗ |ψSVa 50  0.23 0.23 
a

For squeezing, we use r = 1.5.

TABLE II.

The best values of ΔϕϕSNL of all three detection schemes for different cases under lossy conditions. The values listed here are approximated values taken from the graphs plotted in Sec. IV.

Δϕsid/Δϕidd/Δϕhd/
|ψin|α||β|μΔϕSNL ΔϕSNL ΔϕSNL
|0⟩ ⊗ |ψK⟩ =1 =1 0.85 
  0.8 1.12 1.12 1 
  0.6 1.3 1.3 1.21 
|0⟩ ⊗ |ψSKa 50 =1 =1 0.1 
  0.8 1.12 1.12 0.35 
  0.6 1.3 1.3 0.82 
|α⟩ ⊗ |ψK⟩ 50 0.67 0.72 0.74 
  0.8 0.87 0.88 0.9 
  0.6 1.12 1.1 1.12 
|α⟩ ⊗ |ψSKa 50 50 1.6 0.35 0.06 
  0.8 1.8 0.7 0.4 
  0.6 2.1 1 0.6 
Δϕsid/Δϕidd/Δϕhd/
|ψin|α||β|μΔϕSNL ΔϕSNL ΔϕSNL
|0⟩ ⊗ |ψK⟩ =1 =1 0.85 
  0.8 1.12 1.12 1 
  0.6 1.3 1.3 1.21 
|0⟩ ⊗ |ψSKa 50 =1 =1 0.1 
  0.8 1.12 1.12 0.35 
  0.6 1.3 1.3 0.82 
|α⟩ ⊗ |ψK⟩ 50 0.67 0.72 0.74 
  0.8 0.87 0.88 0.9 
  0.6 1.12 1.1 1.12 
|α⟩ ⊗ |ψSKa 50 50 1.6 0.35 0.06 
  0.8 1.8 0.7 0.4 
  0.6 2.1 1 0.6 
a

For squeezing, we use r = 1.5.

In Sec. III A, we discussed the vacuum and SKS as the inputs of MZI, i.e., |ψin = |0⟩1 ⊗ |ψSK⟩. We found that by using the SKS along with the vacuum state as the input of the MZI, we can surpass the SNL with a significant amount for the HD scheme (Figs. 5 and 6). Not only for the SKS but also for the Kerr state, the phase sensitivity surpasses the SNL in the HD scheme (Fig. 3).

In Sec. III B, we discussed the coherent and SKS as the inputs of MZI, i.e., |ψin = |α1 ⊗ |ψSK⟩. First, we investigated the phase sensitivity of MZI by choosing the Kerr state with coherent state as the input, i.e., |ψin = |α1 ⊗ |ψK⟩. We found that the coherent input with the Kerr state is more useful than the double coherent inputs, in approximately all the situations. After that, we investigated the |ψin = |α1 ⊗ |ψSK⟩ case and found that in the case of squeezing, the Kerr medium remarkably enhances the phase sensitivity. The interesting finding was that the coherent plus SKS as the inputs give better phase sensitivity than the coherent plus squeezed vacuum state as the inputs. If we look at the performance of the three detection schemes, we find that the HD scheme is dominant in all four cases than the IDD scheme, which, in turn, is doing better than the SID scheme.

In Sec. IV, we investigated the tolerance property of the Kerr state against the photon loss. For the Kerr state along with the vacuum state, in Fig. 21, we can see that in the case of the HD scheme, we can surpass the SNL in the lossy case with <20% loss. If we take SKS along with vacuum, we can surpass the SNL even for more than 40% photon loss in the HD scheme (Fig. 22). For the Kerr state along with the coherent state, we found that in all three cases, we can surpass the SNL in the lossy case for <30% photon loss (Fig. 23). If we take SKS along with the coherent state, we can surpass the SNL even for more than 40% photon loss in the HD scheme, and the IDD scheme gives a phase sensitivity below the SNL for more than 20% photon loss (Fig. 24).

Recently, we have found that Kalinin et al.80 reported the first experimental attempt at improving the interferometric sensitivity utilizing the Kerr effect. In Ref. 81, a squeezing of −6.5 dB was observed for 20% photon loss, while an estimated −8.4 dB was reported under lossless conditions by using the optical Kerr effect. They showed that the length of the fiber placed a restriction on the amount of squeezing possible, as longer pieces of fibers can obtain larger values of squeezing.81 The factor γ tells us about the interaction time of the coherent state with the Kerr medium in order to produce the required Kerr state. From relation (19), we can see that γ is proportional to the Kerr medium length or interaction time. A larger γ means a larger medium length and vice versa. Analytically, we found that for larger values of |β|, the phase sensitivity increases and the factor γ is decreased, as we can see in Figs. 7 and 18.

In summary, SKS can be used to improve the phase sensitivity of a MZI. Importantly, we found some alternate states in place of the squeezed vacuum state for phase super-sensitivity under both lossless and lossy conditions.

D.Y., G.S., and P.S. acknowledge UGC for the UGC Research Fellowship. D.K.M. acknowledges the financial support from the Science & Engineering Research Board (SERB), New Delhi, for CRG (Grant No. CRG/2021/005917), and the Incentive Grant under Institution of Eminence (IoE), Banaras Hindu University, Varanasi, India (Grant No. R/Dev/D/IoE/Seed and Incentive Grant-II/2022-23).

The authors have no conflicts to disclose.

D.Y. and G.S. contributed equally to this work.

Dhiraj Yadav: Formal analysis (equal); Investigation (equal); Methodology (equal); Resources (equal); Software (equal); Validation (equal); Visualization (equal); Writing – original draft (equal); Writing – review & editing (equal). Gaurav Shukla: Data curation (equal); Formal analysis (equal); Investigation (equal); Methodology (equal); Resources (equal); Software (equal); Validation (equal); Visualization (equal); Writing – original draft (equal); Writing – review & editing (equal). Priyanka Sharma: Formal analysis (supporting); Investigation (supporting); Methodology (equal); Visualization (equal); Writing – original draft (equal); Writing – review & editing (equal). Devendra Kumar Mishra: Conceptualization (lead); Data curation (equal); Formal analysis (equal); Funding acquisition (lead); Investigation (equal); Methodology (equal); Project administration (lead); Resources (equal); Software (equal); Supervision (lead); Validation (equal); Visualization (equal); Writing – original draft (equal); Writing – review & editing (equal).

Data sharing is not applicable to this article as no new data were created or analyzed in this study.

In order to find the phase sensitivity from Eq. (4), we derive the expression for L̂, L̂2 and |L̂/ϕ| for different detection schemes. So, for the SID scheme, from Eqs. (2) and (6), we get
(A1)
(A2)
and the variation of L̂sid(ϕ) with ϕ
(A3)
For the IDD scheme, from Eqs. (2), (3), and (7), we get
(A4)
(A5)
and the variation of L̂idd(ϕ) with ϕ
(A6)
For the HD scheme, from Eqs. (2), (3), and (8), we get
(A7)
(A8)
where
(A9)
 Appendix B contains the separate expressions of the expectation value of the operators given in Eq. (A9).
(B1)
(B2)
(B3)
(B4)
(B5)
(B6)
(B7)
(B8)
(B9)
(B10)
(B11)
(B12)
(B13)
(B14)
where C=coshr,S=sinhr,c=e|β|2(cos2γ1),c2=e|β|2(cos4γ1),c3=e|β|2(cos6γ1),c4=e|β|2(cos8γ1),s=|β|2sin2γ,s2=|β|2sin4γ,s3=|β|2sin6γ, ands4=|β|2sin8γ.
In order to find the phase sensitivity from Eq. (4), we derive the expression for L̂, L̂2 and |L̂/ϕ| for different detection schemes. So, for the SID scheme, from Eqs. (39) and (6), we get
(C1)
(C2)
and the variation of L̂sid(ϕ) with ϕ
(C3)
For the IDD scheme, from Eqs. (39), (40), and (7), we get
(C4)
(C5)
and the variation of L̂idd(ϕ) with ϕ
(C6)
For the HD scheme, from Eqs. (39), (40), and (8), we get
(C7)
(C8)
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