We demonstrate a method for encoding Gottesman–Kitaev–Preskill (GKP) error-correcting qubits with single ultracold atoms trapped in individual sites of a deep optical lattice. Using quantum optimal control protocols, we demonstrate the generation of GKP qubit states with 10 dB squeezing, which is the current minimum allowable squeezing level for use in surface code error correction. States are encoded in the vibrational levels of the individual lattice sites and generated via phase modulation of the lattice potential. Finally, we provide a feasible experimental protocol for the realization of these states. Our protocol opens up possibilities for generating large arrays of atomic GKP states for continuous-variable quantum information.

Fault-tolerant quantum information processing will require fast low error-rate operations on qubits.1 This ensures large algorithms can be fully implemented without the exponential buildup of errors rendering the final result useless. However, current systems suffer from relatively high physical error rates.2 This must, at least in the near term, be offset through the use of error-correcting codes.3 These rely upon a larger state space upon which a smaller subspace of information is encoded. This proceeds either through the representation of a single logical qubit with multiple physical qubits or through the use of a bosonic oscillator, which itself describes a larger state space.

The Gottesman–Kitaev–Preskill (GKP) states4 are the canonical example of this latter case. These states have been shown to have the highest error-correction performance compared to similar encodings,5 and they have been shown to have utility in cluster-state quantum computing.6 GKP states consist of periodic delta functions evenly spaced in position space. The two encoded qubit states are identical, except that one is displaced by half the spacing period. This nominally allows for perfect error correction up to a displacement by a quarter of the inter-delta spacing. Finite approximations to these ideal infinitely squeezed states provide consequently approximate error correction.

The difficulty in preparing these states lies in the challenge of generating adequate squeezing to offset the overhead of the encoding and reduce the logical error rate. Furthermore, the control of these states is very sensitive to noise, for more accurate approximations, due to the large amplitude in phase space.7 Therefore, these states must be considered not only in their error-correction ability but also in the difficulty with which they may be implemented and controlled. Nevertheless, approximate GKP states have been experimentally demonstrated in ions,8 transmon qubits,9 and photonic systems.10 

Here, we present a proposal for the realization of GKP states in ultracold atoms, specifically, arrays of single atoms trapped in the individual sites of a deep optical lattice potential. Atoms are excellent candidates for qubits, and a reprogrammable tweezer-based quantum information processor with error correction has recently been demonstrated,11 where quantum information is processed via atom-atom interactions mediated by selective excitation of atoms into high-lying Rydberg states.12 Our protocol can be straightforwardly adapted to atoms in optical tweezers,13–17 but we focus here on single atoms in optical lattices. This is due to their straightforward scalability and controllability, even at the single-atom level.18–20 In addition, optical-lattice-based systems have found use in an array of high-precision quantum technologies, including atomic clocks,21,22 quantum simulators,23,24 and inertial sensors.25–28 Recent work has also demonstrated the production and density matrix reconstruction of atoms in optical lattices.29 

Ideal GKP states—grids of infinitely narrow lines spanning the entirety of the phase space—are physically unrealizable, as they require infinite energy. For this reason, a large variety of approximations of GKP states have been proposed. A number of these possess attractive qualities, such as the representation of approximate GKP states as sums of translated coherent states, which naturally admits an experimental construction in ions.8 However, these approximations are equivalent up to a redefinition of parameters.29 Therefore, we choose, without loss of generality, an approximate definition of GKP states as a superposition of evenly displaced, squeezed, vacuum states of squeezing parameter Δ weighted by a Gaussian envelope of standard deviation 1/σ, with Δ=lnσ2/(1σ4) as in the original paper.4 In phase space, this leads to a grid of finite-sized peaks localized around the origin.

The two code states GKP0 and GKP1 are, therefore, defined as
(1)
where X(xt) is a displacement along the position axis of value xt=π(2s+k)=πΔx0, S(Δ) is the standard squeeze operator,
(2)
and a, a are the Bose operators. The operator Ŝ0 is defined as
(3)
and it guarantees even grid spacing along the two quadratures, which leads to unbiased error correction performance.29 

The finite GKP state is then characterized solely by the level of squeezing as ζ = −10 log10(σ2) dB.

Here, we find optimal controls that can be used to generate GKP states with ζ = 10 dB of squeezing with atoms in optical lattices. This level of squeezing is generally recognized to be the point at which such states are useful from a quantum information perspective.31,32 These states may also be concatenated with a surface code.33 This provides enhanced error correction performance at the cost of additional overhead and complexity. As a result, fault-tolerant quantum computing can be achieved at as low as 8.1 dB of squeezing,34 assuming zero losses in the system.

The Hamiltonian of the optical lattice system used to generate these states takes the form
(4)
where the lattice wavenumber is kL = 2π/λ for a lattice of wavelength λ, the lattice depth is U (typically quoted in units of the photon recoil energy Er=2kL2/2m for an atom of mass m), and u(t) is our control, with units of length. By varying u(t), the lattice is phase modulated, driving transitions between different external atomic states while maintaining the atom’s internal state. Note that we consider here only one atom at a time and assume that if there are atoms in adjacent lattice sites, they do not interact (i.e., tunnel coupling is negligibly small35), allowing us to write a single-body Hamiltonian. We have also verified by calculation that the change in effective lattice depth due to atom–atom interactions36,37 is negligibly small for our system, so having multiple Bose-condensed atoms per lattice site will not substantially affect the fidelity of our protocols.

We assume the atom is trapped in a single site of a deep 1D lattice potential, which is straightforward to experimentally prepare.19,38 We then define, as in Ref. 39, our Fock states |n⟩ to correspond to the bound vibrational levels within a given lattice site, i.e., n = 0, …, N. Thus, the total number N + 1 of Fock states bound to a single lattice site directly affects the maximum obtainable squeezing of our resulting GKP states. Figure 1 shows, for a given squeezing level, the required lattice depth and resulting Fock basis size (i.e., the number of vibrational states bound to a given lattice site). The purpose of our phase modulation is then to control transfers between these Fock states to generate and manipulate the desired GKP states.

FIG. 1.

Lattice depth (left axis) and required basis size (right axis) as a function of the desired squeezing level where the basis size is chosen such that the GKP state can be reconstructed with a fidelity of F0.99. The large plateaus in depth and basis size arise because, as more accessible Fock states are introduced into the problem, there is a range of available squeezing parameters realizable within our target fidelity.

FIG. 1.

Lattice depth (left axis) and required basis size (right axis) as a function of the desired squeezing level where the basis size is chosen such that the GKP state can be reconstructed with a fidelity of F0.99. The large plateaus in depth and basis size arise because, as more accessible Fock states are introduced into the problem, there is a range of available squeezing parameters realizable within our target fidelity.

Close modal

In our simulations, we initialize our atomic state in a given initial state |ψ(t = 0)⟩ (here, |0⟩, considering the generation of GKP states from the ground state of the lattice potential). We then generate an initial guess (seed) for our shaking function u(t) where 0 ≤ tT and use the symmetrized split-step method40 to evolve the state using the time-dependent Schrödinger equation with the Hamiltonian in Eq. (4) and the aforementioned u(t). This results in a final state |ψ(t = T)⟩ = |ψF⟩ where the time T is varied; higher values of T typically lead to higher fidelity protocols. The optimization protocol then adjusts u(t) in an attempt to maximize fidelity.

We define our state transfer fidelity as F=|ψD|ψF|2, where |ψD,F⟩ are the desired state and final state after a given shaking protocol u(t), respectively. In Fig. 1 and this work in general, our target fidelity is F0.99; extensions beyond this will require more bound states and a deeper lattice, posing increasing experimental challenges. It remains to be seen what fidelities are required for atomic GKP states to be useful in quantum information protocols; finite fidelity likely manifests similarly to loss in photonic systems.

To find our controls, we use the GRAPE method41 with BFGS built into the QEngine C++ library.42 Furthermore, bandwidth and amplitude limits for u(t) are implemented via regularization and soft boundary terms in our optimization functional. Practically, we used a smooth low pass filter centered at 0.5 MHz to ensure the experimental viability of the controls,43 in addition to limiting the shaking amplitude to no more than half a lattice site.

The experimental proposal requires atoms to be loaded into the ground state of an optical lattice generated by two lasers with identical wavelengths but varying phases. Ground-state loading can be achieved by either loading from a Bose–Einstein condensate or sideband cooling44,45 atoms loaded into the lattice directly after laser cooling. Phase modulation can be achieved by changing the phase of one lattice beam relative to the other, e.g., by controlling the RF tone sent to an acousto-optic modulator (AOM). In this way, we can implement the shaking protocols required for GKP state generation and manipulation.

State verification uses a recent proposal for direct measurement of the Wigner function of atoms in an optical lattice potential.39 This method that was shown to work even for anharmonic traps requires one to take advantage of the differential light shift between two hyperfine ground states of the atoms (e.g., the |F, mF⟩ = |2, −2⟩ and |1, −1⟩ hyperfine states of rubidium20) due to their differing vector polarizabilities. Similar methods of differential lattice manipulation have been used, e.g., to perform quantum walk experiments,46 but the drawback is the lattice wavelength must be between the D1 and D2 lines of the alkali atom used, limiting atom lifetime in the lattice.

It is important to note that another method for Wigner function determination via density matrix reconstruction has been demonstrated experimentally.47 This method relies on time-of-flight data, and thus, the stringent limits on lattice wavelength are relaxed. Moving to a far-off-resonant trap (e.g., at the common lattice wavelength of 1064 nm) will require more lattice power to achieve a given depth (as depth goes as I/Δ̃, where I is the intensity of the lattice light and Δ̃ is the detuning from resonance).48 However, the associated atom lifetime will be longer, as the photon scattering rate ΓI/Δ̃2. We will, however, consider a lattice between the D1 and D2 lines of an alkali atom as a worst-case scenario for our proposal.

As a first step, we need to determine the lattice depth that gives us the required squeezing. From Fig. 1, we see that, to obtain 10 dB of squeezing, we require 24 basis states and a lattice depth of U ≈ 1500Er. Figure 2 shows a contour plot of the lattice depth and scattering-limited lifetimes for Rb and Cs as a function of laser power and wavelength, restricted between the D1 and D2 lines. From the figure, we see for U = 1500Er, the best rubidium lifetime is between 5 and 10 ms; however, for cesium, this is about six times larger, assuming the laser power is below 100 mW (10% of what is plotted in Fig. 2), which is readily achievable in the laboratory. However, there is a minor trade-off due to the increased wavelength of the cesium lattice that causes, in the conversion from scaled to unscaled units, the cesium protocols to be roughly a factor of two longer than the rubidium protocols, so the overall gain of a cesium system is only about three times that of rubidium. Note that for lighter alkali atoms, the achievable lattice lifetime will be lower, as the D1/D2 splitting increases with atomic mass. As such, cesium, the heaviest easily trappable alkali (although there are efforts focusing on the heavier, radioactive francium49), is the best alkali atom for these experiments.

FIG. 2.

Contour plot of lattice trap lifetime T (black lines and shading) and lattice depth U (white lines) as a function of laser power and wavelength between the D1 and D2 lines for (a) rubidium and (b) cesium, assuming a 1D lattice with a beam waist of 150 µm. For the lattice depths of U ≈ 1500Er, which give rise to useful squeezing levels of ≈10 dB, the cesium atom lifetime is roughly a factor of six longer than that of rubidium.

FIG. 2.

Contour plot of lattice trap lifetime T (black lines and shading) and lattice depth U (white lines) as a function of laser power and wavelength between the D1 and D2 lines for (a) rubidium and (b) cesium, assuming a 1D lattice with a beam waist of 150 µm. For the lattice depths of U ≈ 1500Er, which give rise to useful squeezing levels of ≈10 dB, the cesium atom lifetime is roughly a factor of six longer than that of rubidium.

Close modal

The modulation times for the time-optimal (i.e., lowest T where F0.99) protocols considered here are 141 µs (239 µs) for the |0GKP0 transitions in Rb (Cs) and 158 µs (270 µs) for the |0GKP1 transitions. The resulting rubidium Wigner functions are compared with the ideal in Fig. 3; Wigner results for cesium can be found in Fig. 4 in  Appendix A. We also present example controls and their spectra in Figs. 5 and 6 in  Appendix B. Our protocols reproduce the ideal states with good fidelity; in particular, the grid-like signature of the GKP state is readily apparent.

FIG. 3.

Wigner functions of the 10 dB squeezed GKP0,1 states. (a) and (c) The ideal target states (assuming 24 bound states in the lattice) for the GKP0,1 states, respectively. These are compared with the time-optimal F0.99 results for |0GKP0,1 states for rubidium in (b) and (d), respectively. The Wigner functions are given in units of the vacuum state variance in xX0) and pP0), which, for a very deep lattice, is, to an excellent approximation, the harmonic oscillator width.

FIG. 3.

Wigner functions of the 10 dB squeezed GKP0,1 states. (a) and (c) The ideal target states (assuming 24 bound states in the lattice) for the GKP0,1 states, respectively. These are compared with the time-optimal F0.99 results for |0GKP0,1 states for rubidium in (b) and (d), respectively. The Wigner functions are given in units of the vacuum state variance in xX0) and pP0), which, for a very deep lattice, is, to an excellent approximation, the harmonic oscillator width.

Close modal
FIG. 4.

Same as Fig. 3, but the plots in (b) and (d) for GKP0,1, respectively, are results of simulations for cesium. The ideal GKP state plots (a) and (c) are identical to those in Fig. 3 for ease of comparison.

FIG. 4.

Same as Fig. 3, but the plots in (b) and (d) for GKP0,1, respectively, are results of simulations for cesium. The ideal GKP state plots (a) and (c) are identical to those in Fig. 3 for ease of comparison.

Close modal
FIG. 5.

Control and Fourier spectra for the time-optimal state transfer protocol driving the |0GKP0 transition. The control (a) and (b) and spectra (c) and (d) are shown for rubidium and cesium, respectively. For (a) and (b), the blue line shows the optimized control as a function of time. In (c) and (d), the spectrum is shown in blue, and the filter applied during optimization is denoted with the excluded frequencies shaded in red.

FIG. 5.

Control and Fourier spectra for the time-optimal state transfer protocol driving the |0GKP0 transition. The control (a) and (b) and spectra (c) and (d) are shown for rubidium and cesium, respectively. For (a) and (b), the blue line shows the optimized control as a function of time. In (c) and (d), the spectrum is shown in blue, and the filter applied during optimization is denoted with the excluded frequencies shaded in red.

Close modal
FIG. 6.

Same as Fig. 5 but for the |0GKP1 transition.

FIG. 6.

Same as Fig. 5 but for the |0GKP1 transition.

Close modal

When considering the viability of our protocols with respect to atom lifetime in the lattice, one must also consider the time required for the Wigner measurement protocol; in Ref. 39, the protocol duration was on the order of hundreds of μs; the protocol time depends on the differential trap depth, and thus, with a sufficiently large variation in the power between the different circular polarizations of the lattice light, we expect this protocol time should be maintained even at the high lattice depths required for these experiments. As such, we find that, without accounting for measurement time, our modulation protocols take ≈3% of the atom lifetime in the lattice, assuming a very conservative Rb lattice lifetime of 5 ms. Cesium protocols require a fraction of a percent of the atom lifetime. Including an (again, conservative) 0.5 ms Wigner measurement time still keeps us within ≤15% of the atom lifetime in the lattice.

Finally, we would like to remark on the scalability of this method and its feasibility in real systems, given the intrinsic dynamics of the non-equilibrium GKP states considered here. Empirically, we find our protocols require the lattice depth to be stable to within 0.1% before the fidelity is reduced to 90%. If we assume our atoms are trapped in a three-dimensional lattice with sufficiently large lattice beam waists in each dimension, the lattice depth variation across an atom cloud can be minimized. Even for modest beam waists of 150 µm, one can populate 20 lattice sites in each direction before the fidelity drops appreciably, allowing for 8000 atoms to be simultaneously interrogated so that high-fidelity GKP states can be created along one Cartesian dimension. In addition, state stabilization protocols can be applied along the orthogonal dimensions during state preparation; thus, the population remains in the ground state in these dimensions; such multidimensional optimization is considered in Ref. 50 and is straightforward to include in our system as well. Cross-coupling between trap axes can be accounted for if atoms are well-prepared in the absolute ground state of a deep 3D lattice trap designed such that the spacing between adjacent energy levels in the other dimensions is so high that excitation cross-axis coupling is unlikely. Finally, we expect that state stabilization can be applied (via lattice modulation) post-GKP production so that the intrinsically non-equilibrium GKP state maintains its fidelity when computations are not being performed, similar to what is shown in Ref. 50. Similarly, tunneling between adjacent lattice sites (which becomes a problem for finite lattice depths and state populations in higher bands) can be mitigated via applying a small tilt to the lattice, inhibiting tunneling via Wannier–Stark localization, although this tilt must be small to mitigate Bloch oscillations and Landau–Zener tunneling.51 Thus, we expect our protocols to be readily scalable to considerable atom numbers and feasible to implement with current experimental technology.

In this work, we demonstrate optimal control protocols that drive an atom from the ground state of an optical lattice potential into the GKP0 and GKP1 states. We additionally present an experimental protocol for the generation, manipulation, and measurement of these states in optical lattices that can be readily achieved with current experimental technology. Our protocols require large lattice depths U ≈ 1500ER, which poses challenges for atom lifetime and laser power; however, we show that even in our worst-case scenario of rubidium atoms and lattice light between the D1 and D2 lines, the proposed protocols can be implemented within a few percent of the atom lifetime in the lattice with powers <1W. We expect that as error correcting protocols improve, the required squeezing level for GKP state utility will also decrease, allowing useful atomic GKP states to be generated with lower power requirements. In addition, while this paper focuses on GKP state generation, extensions to gate optimization are straightforward50 and will be the focus of future work. Such gate optimization protocols must crucially account for the evolution of the state during gate operations, which can be done similarly to the state stabilization discussed in Sec. III.

The efficient experimental generation of these states will also require finding modulation protocols that are robust, e.g., to variations in the lattice depth or noise in the modulation; this can be done via adaptation of the methods discussed in Ref. 52. There is likely also utility in exploring constrained basis methods53 for these problems, as such methods have been adapted to efficiently find state transfer protocols in other modulated-lattice systems.54 These will allow for controls that can mitigate off-resonant heating effects,55 analogously to what was shown in Ref. 56 for phase-modulated shallow lattices. This will also reduce the beam waist (and thus power) requirements to achieve the required lattice depths. Cavity-enhanced lattices57 can also lower power requirements.

Furthermore, while our proposal centers on atoms trapped in optical lattice potentials, similar protocols can also be realized in optical tweezer potentials. Arrays of tweezer potentials do not pack atoms as tightly as lattices can, but they have the advantage that each lattice site can be more easily independently controlled, allowing for flexible continuous-variable quantum information protocols (although lattice systems with high-resolution imaging and potential projection capabilities can allow for single-site manipulation20). In addition, the proposed Wigner measurement protocol is applicable to tweezer systems.

Finally, for useful quantum information protocols to be realized, one must entangle atoms with one another. While entanglement protocols are a subject for future work, we would like to highlight that proposals for the implementation of SWAP gates with atoms in optical lattices has been proposed in Ref. 58. Similar protocols could be used to generate cluster states of atoms,59 leading to a new paradigm of continuous variable quantum information in atomic systems.

In the preparation of this work, the authors became aware of similar work by Grochowski et al.50 Reference 50 is generally applicable to any anharmonic quantum system that admits similar driving terms to those considered here and considers a wider array of interesting quantum states, e.g., cat states.60 Our work, in contrast, presents a feasible experimental proposal for the generation of atomic GKP states with 10 dB of squeezing.

This work was carried out using the computational facilities of the Advanced Computing Research Center, University of Bristol—http://www.bristol.ac.uk/acrc. H.C.P.K. was funded by the EPSRC CDT in quantum engineering (Grant No. EP/S023607/1). C.W. acknowledged funding from EPSRC (Grant No. EP/Y004728/1). The authors would like to thank G. Ferrini and A. Alberti for interesting discussions that motivated this work and A. Clark for valuable comments on the paper draft.

The authors have no conflicts to disclose.

Harry C. P. Kendell: Conceptualization (supporting); Data curation (lead); Formal analysis (lead); Investigation (equal); Methodology (equal); Software (lead); Validation (lead); Visualization (lead); Writing – original draft (equal); Writing – review & editing (supporting). Giacomo Ferranti: Conceptualization (supporting); Formal analysis (supporting); Investigation (supporting); Methodology (supporting); Project administration (supporting); Resources (supporting); Validation (supporting); Writing – review & editing (supporting). Carrie A. Weidner: Conceptualization (lead); Formal analysis (supporting); Funding acquisition (lead); Investigation (equal); Methodology (equal); Project administration (lead); Resources (lead); Supervision (lead); Validation (supporting); Visualization (supporting); Writing – original draft (equal); Writing – review & editing (lead).

The data that support the findings of this study are available from the corresponding author upon reasonable request.

Here, we present plots like those in Fig. 3 for cesium.

Here, we present our controls and their Fourier spectra for the transitions considered in this work.

1.
J.
Preskill
, “
Quantum computing in the NISQ era and beyond
,”
Quantum
2
,
79
(
2018
).
2.
S.
Brandhofer
,
S.
Devitt
,
T.
Wellens
, and
I.
Polian
, “
Special session: Noisy intermediate-scale quantum (NISQ) computers—How they work, how they fail, how to test them?
,” in
2021 IEEE 39th VLSI Test Symposium (VTS)
(
IEEE
,
2021
).
3.
E.
Knill
and
R.
Laflamme
, “
Theory of quantum error-correcting codes
,”
Phys. Rev. A
55
,
900
911
(
1997
).
4.
D.
Gottesman
,
A.
Kitaev
, and
J.
Preskill
, “
Encoding a qubit in an oscillator
,”
Phys. Rev. A
64
,
012310
(
2001
).
5.
V. V.
Albert
,
K.
Noh
,
K.
Duivenvoorden
,
D. J.
Young
,
R.
Brierley
,
P.
Reinhold
,
C.
Vuillot
,
L.
Li
,
C.
Shen
,
S.
Girvin
et al, “
Performance and structure of single-mode bosonic codes
,”
Phys. Rev. A
97
,
032346
(
2018
).
6.
G.
Pantaleoni
,
B. Q.
Baragiola
, and
N. C.
Menicucci
, “
Hidden qubit cluster states
,”
Phys. Rev. A
104
,
012431
(
2021
).
7.
A. L.
Grimsmo
and
S.
Puri
, “
Quantum error correction with the Gottesman-Kitaev-Preskill code
,”
PRX Quantum
2
,
020101
(
2021
).
8.
C.
Flühmann
,
T. L.
Nguyen
,
M.
Marinelli
,
V.
Negnevitsky
,
K.
Mehta
, and
J.
Home
, “
Encoding a qubit in a trapped-ion mechanical oscillator
,”
Nature
566
,
513
517
(
2019
).
9.
P.
Campagne-Ibarcq
,
A.
Eickbusch
,
S.
Touzard
,
E.
Zalys-Geller
,
N. E.
Frattini
,
V. V.
Sivak
,
P.
Reinhold
,
S.
Puri
,
S.
Shankar
,
R. J.
Schoelkopf
et al, “
Quantum error correction of a qubit encoded in grid states of an oscillator
,”
Nature
584
,
368
372
(
2020
).
10.
S.
Konno
,
W.
Asavanant
,
F.
Hanamura
,
H.
Nagayoshi
,
K.
Fukui
,
A.
Sakaguchi
,
R.
Ide
,
F.
China
,
M.
Yabuno
,
S.
Miki
et al, “
Propagating Gottesman-Kitaev-Preskill states encoded in an optical oscillator
,” arXiv:2309.02306 (
2023
).
11.
D.
Bluvstein
,
S. J.
Evered
,
A. A.
Geim
,
S. H.
Li
,
H.
Zhou
,
T.
Manovitz
,
S.
Ebadi
,
M.
Cain
,
M.
Kalinowski
,
D.
Hangleiter
,
J. P.
Bonilla Ataides
,
N.
Maskara
,
I.
Cong
,
X.
Gao
,
P.
Sales Rodriguez
,
T.
Karolyshyn
,
G.
Semeghini
,
M. J.
Gullans
,
M.
Greiner
,
V.
Vuletić
, and
M. D.
Lukin
, “
Logical quantum processor based on reconfigurable atom arrays
,”
Nature
626
,
58
(
2023
).
12.
C. S.
Adams
,
J. D.
Pritchard
, and
J. P.
Shaffer
, “
Rydberg atom quantum technologies
,”
J. Phys. B: At., Mol. Opt. Phys.
53
,
012002
(
2019
).
13.
M.
Endres
,
H.
Bernien
,
A.
Keesling
,
H.
Levine
,
E. R.
Anschuetz
,
A.
Krajenbrink
,
C.
Senko
,
V.
Vuletic
,
M.
Greiner
, and
M. D.
Lukin
, “
Atom-by-atom assembly of defect-free one-dimensional cold atom arrays
,”
Science
354
,
1024
1027
(
2016
).
14.
D.
Barredo
,
V.
Lienhard
,
S.
de Léséleuc
,
T.
Lahaye
, and
A.
Browaeys
, “
Synthetic three-dimensional atomic structures assembled atom by atom
,”
Nature
561
,
79
82
(
2018
).
15.
M. O.
Brown
,
T.
Thiele
,
C.
Kiehl
,
T.-W.
Hsu
, and
C. A.
Regal
, “
Gray-molasses optical-tweezer loading: Controlling collisions for scaling atom-array assembly
,”
Phys. Rev. X
9
,
011057
(
2019
).
16.
L.
Pause
,
L.
Sturm
,
M.
Mittenbühler
,
S.
Amann
,
T.
Preuschoff
,
D.
Schäffner
,
M.
Schlosser
, and
G.
Birkl
, “
Supercharged two-dimensional tweezer array with more than 1000 atomic qubits
,”
Optica
11
,
222
226
(
2024
).
17.
M.
Schlosser
,
S.
Tichelmann
,
D.
Schäffner
,
D. O.
de Mello
,
M.
Hambach
,
J.
Schütz
, and
G.
Birkl
, “
Scalable multilayer architecture of assembled single-atom qubit arrays in a three-dimensional Talbot tweezer lattice
,”
Phys. Rev. Lett.
130
,
180601
(
2023
).
18.
W. S.
Bakr
,
J. I.
Gillen
,
A.
Peng
,
S.
Fölling
, and
M.
Greiner
, “
A quantum gas microscope for detecting single atoms in a Hubbard-regime optical lattice
,”
Nature
462
,
74
77
(
2009
).
19.
J. F.
Sherson
,
C.
Weitenberg
,
M.
Endres
,
M.
Cheneau
,
I.
Bloch
, and
S.
Kuhr
, “
Single-atom-resolved fluorescence imaging of an atomic Mott insulator
,”
Nature
467
,
68
72
(
2010
).
20.
C.
Weitenberg
,
M.
Endres
,
J. F.
Sherson
,
M.
Cheneau
,
P.
Schauß
,
T.
Fukuhara
,
I.
Bloch
, and
S.
Kuhr
, “
Single-spin addressing in an atomic Mott insulator
,”
Nature
471
,
319
324
(
2011
).
21.
W. F.
McGrew
,
X.
Zhang
,
R. J.
Fasano
,
S. A.
Schäffer
,
K.
Beloy
,
D.
Nicolodi
,
R. C.
Brown
,
N.
Hinkley
,
G.
Milani
,
M.
Schioppo
,
T. H.
Yoon
, and
A. D.
Ludlow
, “
Atomic clock performance enabling geodesy below the centimetre level
,”
Nature
564
,
87
90
(
2018
).
22.
E.
Oelker
,
R. B.
Hutson
,
C. J.
Kennedy
,
L.
Sonderhouse
,
T.
Bothwell
,
A.
Goban
,
D.
Kedar
,
C.
Sanner
,
J. M.
Robinson
,
G. E.
Marti
,
D. G.
Matei
,
T.
Legero
,
M.
Giunta
,
R.
Holzwarth
,
F.
Riehle
,
U.
Sterr
, and
J.
Ye
, “
Demonstration of 4.8 × 10−17 stability at 1 s for two independent optical clocks
,”
Nat. Photonics
13
,
714
719
(
2019
).
23.
C.
Gross
and
I.
Bloch
, “
Quantum simulations with ultracold atoms in optical lattices
,”
Science
357
,
995
1001
(
2017
).
24.
F.
Schäfer
,
T.
Fukuhara
,
S.
Sugawa
,
Y.
Takasu
, and
Y.
Takahashi
, “
Tools for quantum simulation with ultracold atoms in optical lattices
,”
Nat. Rev. Phys.
2
,
411
425
(
2020
).
25.
M.-K.
Zhou
,
B.
Pelle
,
A.
Hilico
, and
F.
Pereira dos Santos
, “
Atomic multiwave interferometer in an optical lattice
,”
Phys. Rev. A
88
,
013604
(
2013
).
26.
C. A.
Weidner
and
D. Z.
Anderson
, “
Experimental demonstration of shaken-lattice interferometry
,”
Phys. Rev. Lett.
120
,
263201
(
2018
).
27.
C. D.
Panda
,
M.
Tao
,
J.
Eggelhof
,
M.
Ceja
,
A.
Reynoso
,
V.
Xu
, and
H.
Muller
, “
Probing gravity for one minute with an optical-lattice atom interferometer
,” arXiv:2301.13315 [physics.atom-ph] (
2023
).
28.
M.
Gebbe
,
J. N.
Siemß
,
M.
Gersemann
,
H.
Müntinga
,
S.
Herrmann
,
C.
Lämmerzahl
,
H.
Ahlers
,
N.
Gaaloul
,
C.
Schubert
,
K.
Hammerer
,
S.
Abend
, and
E. M.
Rasel
, “
Twin-lattice atom interferometry
,”
Nat. Commun.
12
,
2544
(
2021
).
29.
N.
Dupont
,
F.
Arrouas
,
L.
Gabardos
,
N.
Ombredane
,
J.
Billy
,
B.
Peaudecerf
,
D.
Sugny
, and
D.
Guéry-Odelin
, “
Phase-space distributions of Bose-Einstein condensates in an optical lattice: Optimal shaping and reconstruction
,”
New J. Phys.
25
(1),
01302
(
2023
).
30.
T.
Matsuura
,
H.
Yamasaki
, and
M.
Koashi
, “
Equivalence of approximate Gottesman-Kitaev-Preskill codes
,”
Phys. Rev. A
102
,
032408
(
2020
).
31.
J.
Hastrup
and
U. L.
Andersen
, “
Protocol for generating optical Gottesman-Kitaev-Preskill states with cavity QED
,”
Phys. Rev. Lett.
128
,
170503
(
2022
).
32.
K.
Fukui
,
M.
Endo
,
W.
Asavanant
,
A.
Sakaguchi
,
J.-i.
Yoshikawa
, and
A.
Furusawa
, “
Generating the Gottesman-Kitaev-Preskill qubit using a cross-Kerr interaction between squeezed light and Fock states in optics
,”
Phys. Rev. A
105
,
022436
(
2022
).
33.
A. G.
Fowler
,
M.
Mariantoni
,
J. M.
Martinis
, and
A. N.
Cleland
, “
Surface codes: Towards practical large-scale quantum computation
,”
Phys. Rev. A
86
,
032324
(
2012
).
34.
K.
Fukui
, “
High-threshold fault-tolerant quantum computation with the Gottesman-Kitaev-Preskill qubit under noise in an optical setup
,”
Phys. Rev. A
107
,
052414
(
2023
).
35.
L.-M.
Duan
,
E.
Demler
, and
M. D.
Lukin
, “
Controlling spin exchange interactions of ultracold atoms in optical lattices
,”
Phys. Rev. Lett.
91
,
090402
(
2003
).
36.
O.
Morsch
,
J. H.
Müller
,
M.
Cristiani
,
D.
Ciampini
, and
E.
Arimondo
, “
Bloch oscillations and mean-field effects of Bose-Einstein condensates in 1D optical lattices
,”
Phys. Rev. Lett.
87
,
140402
(
2001
).
37.
G. K.
Campbell
,
J.
Mun
,
M.
Boyd
,
P.
Medley
,
A. E.
Leanhardt
,
L. G.
Marcassa
,
D. E.
Pritchard
, and
W.
Ketterle
, “
Imaging the Mott insulator shells by using atomic clock shifts
,”
Science
313
,
649
652
(
2006
).
38.
M.
Greiner
,
O.
Mandel
,
T.
Esslinger
,
T. W.
Hänsch
, and
I.
Bloch
, “
Quantum phase transition from a superfluid to a Mott insulator in a gas of ultracold atoms
,”
Nature
415
,
39
44
(
2002
).
39.
F.-R.
Winkelmann
,
C. A.
Weidner
,
G.
Ramola
,
W.
Alt
,
D.
Meschede
, and
A.
Alberti
, “
Direct measurement of the Wigner function of atoms in an optical trap
,”
J. Phys. B: At., Mol. Opt. Phys.
55
,
194004
(
2022
).
40.
Q.
Zhang
and
M. I.
Hayee
, “
Symmetrized split-step Fourier scheme to control global simulation accuracy in fiber-optic communication systems
,”
J. Lightwave Technol.
26
,
302
316
(
2008
).
41.
N.
Khaneja
,
T.
Reiss
,
C.
Kehlet
,
T.
Schulte-Herbrüggen
, and
S. J.
Glaser
, “
Optimal control of coupled spin dynamics: Design of NMR pulse sequences by gradient ascent algorithms
,”
J. Magn. Reson.
172
,
296
305
(
2005
).
42.
J.
Sørensen
,
J.
Jensen
,
T.
Heinzel
, and
J. F.
Sherson
, “
QEngine: A C++ library for quantum optimal control of ultracold atoms
,”
Comput. Phys. Commun.
243
,
135
150
(
2019
).
43.
N.
Dupont
,
G.
Chatelain
,
L.
Gabardos
,
M.
Arnal
,
J.
Billy
,
B.
Peaudecerf
,
D.
Sugny
, and
D.
Guéry-Odelin
, “
Quantum state control of a Bose-Einstein condensate in an optical lattice
,”
PRX Quantum
2
,
040303
(
2021
).
44.
S. E.
Hamann
,
D. L.
Haycock
,
G.
Klose
,
P. H.
Pax
,
I. H.
Deutsch
, and
P. S.
Jessen
, “
Resolved-sideband Raman cooling to the ground state of an optical lattice
,”
Phys. Rev. Lett.
80
,
4149
4152
(
1998
).
45.
C.
Huang
,
S.
Chai
, and
S.-Y.
Lan
, “
Dark-state sideband cooling in an atomic ensemble
,”
Phys. Rev. A
103
,
013305
(
2021
).
46.
M. R.
Lam
,
N.
Peter
,
T.
Groh
,
W.
Alt
,
C.
Robens
,
D.
Meschede
,
A.
Negretti
,
S.
Montangero
,
T.
Calarco
, and
A.
Alberti
, “
Demonstration of quantum brachistochrones between distant states of an atom
,”
Phys. Rev. X
11
,
011035
(
2021
).
47.
M. O.
Brown
,
S. R.
Muleady
,
W. J.
Dworschack
,
R. J.
Lewis-Swan
,
A. M.
Rey
,
O.
Romero-Isart
, and
C. A.
Regal
, “
Time-of-Flight quantum tomography of single atom motion
,”
Nat. Phys.
19
,
569
573
(
2023
).
48.
R.
Grimm
,
M.
Weidemüller
, and
Y. B.
Ovchinnikov
, “
Optical dipole traps for neutral atoms
,”
Optical Dipole Traps for Neutral Atoms
(
Elsevier
,
2000
), Vol.
42
, pp.
95
170
.
49.
M.
Tandecki
,
J.
Zhang
,
R.
Collister
,
S.
Aubin
,
J. A.
Behr
,
E.
Gomez
,
G.
Gwinner
,
L. A.
Orozco
, and
M. R.
Pearson
, “
Commissioning of the francium trapping facility at TRIUMF
,”
J. Instrum.
8
,
P12006
(
2013
).
50.
P. T.
Grochowski
,
H.
Pichler
,
C. A.
Regal
, and
O.
Romero-Isart
, “
Quantum control of continuous systems via nonharmonic potential modulation
,” arXiv:2311.16819 [quant-ph] (
2023
).
51.
E.
Arimondo
and
S.
Wimberger
, “
Tunneling of ultracold atoms in time-independent potentials
,” in
Dynamical Tunneling
, edited by
S.
Keshavamurthy
and
P.
Schlagheck
(
CRC Press
,
Boca Raton, FL
,
2011
).
52.
I.
Khalid
,
C. A.
Weidner
,
E. A.
Jonckheere
,
S. G.
Shermer
, and
F. C.
Langbein
, “
Statistically characterizing robustness and fidelity of quantum controls and quantum control algorithms
,”
Phys. Rev. A
107
,
032606
(
2023
).
53.
T.
Caneva
,
T.
Calarco
, and
S.
Montangero
, “
Chopped random-basis quantum optimization
,”
Phys. Rev. A
84
,
022326
(
2011
).
54.
C. A.
Weidner
and
D. Z.
Anderson
, “
Simplified landscapes for optimization of shaken lattice interferometry
,”
New J. Phys.
20
,
075007
(
2018
).
55.
M. E.
Gehm
,
K. M.
O’Hara
,
T. A.
Savard
, and
J. E.
Thomas
, “
Dynamics of noise-induced heating in atom traps
,”
Phys. Rev. A
58
,
3914
3921
(
1998
).
56.
M.
Reitter
,
J.
Näger
,
K.
Wintersperger
,
C.
Sträter
,
I.
Bloch
,
A.
Eckardt
, and
U.
Schneider
, “
Interaction dependent heating and atom loss in a periodically driven optical lattice
,”
Phys. Rev. Lett.
119
,
200402
(
2017
).
57.
A. J.
Park
,
J.
Trautmann
,
N.
Šantić
,
V.
Klüsener
,
A.
Heinz
,
I.
Bloch
, and
S.
Blatt
, “
Cavity-enhanced optical lattices for scaling neutral atom quantum technologies to higher qubit numbers
,”
PRX Quantum
3
,
030314
(
2022
).
58.
J. H. M.
Jensen
,
J. J.
Sørensen
,
K.
Mølmer
, and
J. F.
Sherson
, “
Time-optimal control of collisional SWAP gates in ultracold atomic systems
,”
Phys. Rev. A
100
,
052314
(
2019
).
59.
Y.
Zhou
,
B.
Xiao
,
M.-D.
Li
,
Q.
Zhao
,
Z.-S.
Yuan
,
X.
Ma
, and
J.-W.
Pan
, “
A scheme to create and verify scalable entanglement in optical lattice
,”
npj Quantum Inf.
8
,
99
(
2022
).
60.
S.-C.
Gou
,
J.
Steinbach
, and
P. L.
Knight
, “
Vibrational pair cat states
,”
Phys. Rev. A
54
,
4315
4319
(
1996
).