The high bitrate quantum random number generator (QRNG) previously reported1 has been in continuous operation for 20 months to deliver random numbers available online.2 Over 600 TB of data have been delivered since then. It has been argued that continuous operation might lead to a degradation of the randomness due to wear and thermal aging of the involved components, foremost of the photomultiplier tube (PMT) in use. Apart from small scale routine testing throughout the device's runtime, it was therefore decided recently to perform a full scale re-testing as initially performed in development prior to deployment. The testing was performed in the same extensive way as described in our original letter, using the “big crush” battery from version 1.2.3 of the TESTU01 suite.3 The test battery consists of 31 tests and consumes files of 1.3 TB. 30 such files have been tested, and the results are shown in Table I. The results indicate no significant deviation from the initial testing and from the expected random fails of individual tests.

Table I.

Results of the 31 different tests of the “big crush” battery, tested on 30 files of 1.3 TB each.

TestPassed
SerialOver 30/30 
CollisionOver 28/30 
BirthdaySpacings 29/30 
ClosePairs 30/30 
SimpPoker 30/30 
CouponCollector 30/30 
Gap 30/30 
Run of U01 30/30 
Permutation 30/30 
CollisionPermut 30/30 
MaxOft 30/30 
SampleProd 30/30 
SampleMean 30/30 
SampleCorr 29/30 
AppearanceSpacings 29/30 
WeightDistrib 30/30 
SumCollector 30/30 
MatrixRank 29/30 
Savir2 30/30 
GCD 30/30 
RandomWalk1 29/30 
LinearComp 30/30 
Fourier3 30/30 
LongestHeadRun 30/30 
PeriodsInStrings 30/30 
HammingWeight2 30/30 
HammingCorr 30/30 
HammingIndep 29/30 
Run of Bits 30/30 
AutoCorr 30/30 
TestPassed
SerialOver 30/30 
CollisionOver 28/30 
BirthdaySpacings 29/30 
ClosePairs 30/30 
SimpPoker 30/30 
CouponCollector 30/30 
Gap 30/30 
Run of U01 30/30 
Permutation 30/30 
CollisionPermut 30/30 
MaxOft 30/30 
SampleProd 30/30 
SampleMean 30/30 
SampleCorr 29/30 
AppearanceSpacings 29/30 
WeightDistrib 30/30 
SumCollector 30/30 
MatrixRank 29/30 
Savir2 30/30 
GCD 30/30 
RandomWalk1 29/30 
LinearComp 30/30 
Fourier3 30/30 
LongestHeadRun 30/30 
PeriodsInStrings 30/30 
HammingWeight2 30/30 
HammingCorr 30/30 
HammingIndep 29/30 
Run of Bits 30/30 
AutoCorr 30/30 

The device has been physically unchanged since deployment in October 2010. It may therefore be assumed that possible effects of component aging or detuning are not an issue after 20 months of continuous operation and that the randomness of output data is not compromised by the permanent use of the device. It may also be worth noting that there was no report of test failures from any of the over 700 registered users of the QRNG server.

Funding by BMBF (KEPHOSI) and DFG (SFB787) was acknowledged.

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M.
Wahl
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M.
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M.
Berlin
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T.
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H.-J.
Rahn
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O.
Benson
,
Appl. Phys. Lett.
98
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171105
(
2011
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2.
See http://qrng.physik.hu-berlin.de for QRNG server access.
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P.
L'Ecuyer
and
R.
Simard
,
ACM Trans. Math. Softw.
33
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22
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2007
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