2013
DOI: 10.1103/physreva.87.062119
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Self-consistent quantum process tomography

Abstract: Quantum process tomography is a necessary tool for verifying quantum gates and diagnosing faults in architectures and gate design. We show that the standard approach of process tomography is grossly inaccurate in the case where the states and measurement operators used to interrogate the system are generated by gates that have some systematic error, a situation all but unavoidable in any practical setting. These errors in tomography can not be fully corrected through oversampling or by performing a larger set … Show more

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Cited by 297 publications
(340 citation statements)
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“…We estimate that our systematic errors are of order B2-3%. A rigorous error bound on fidelity in the presence of systematic noise is still the subject of future study 29 . In Fig.…”
Section: Resultsmentioning
confidence: 99%
“…We estimate that our systematic errors are of order B2-3%. A rigorous error bound on fidelity in the presence of systematic noise is still the subject of future study 29 . In Fig.…”
Section: Resultsmentioning
confidence: 99%
“…A variety of techniques have emerged including randomised benchmarking (RB), 1,2 purity benchmarking, 3 process tomography, [4][5][6][7] adaptive methods, 8 and gate-set tomography (GST). 9,10 Each protocol has relative strengths and weaknesses; for instance, RB has low experimental overhead but only provides average information about gate performance, while process tomography provides more information at the cost of unfavourable scaling in measurement overhead. 11 Despite their differences, these protocols share the common theme that they were originally developed and mathematically formalised assuming that error processes are statistically independent and do not exhibit strong correlations in time.…”
Section: Introductionmentioning
confidence: 99%
“…However, this is not the case. Correlations such as Equation (4) can be determined without individual expectation values because equations like TrρΣ a i = Tr ρ a Σ i express a very special factorizability of the data, Equation (3). We thus proceed with the following operational definition: we say that data S a i is effectively (SPAM) uncorrelated when we can express it as a simple matrix equation:…”
Section: A the Born Rule Revisitedmentioning
confidence: 99%
“…Third, when P and W exist, they are in general not unique because one could just as well use P G and G -1 W where G is an n 2 × n 2 real invertible matrix. The components of G are gauge degrees of freedom which have been referred to as SPAM gauge [3,8,9] or blame gauge [1].…”
Section: A the Born Rule Revisitedmentioning
confidence: 99%
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