Self-consistent quantum process tomography 论文

2013Physical Review A引用 297
Quantum Computing Algorithms and ArchitectureQuantum Information and CryptographyAdvancements in Semiconductor Devices and Circuit Design

详细信息

发表期刊/会议
Physical Review A
发表日期
2013-06-24
发表年份
2013

关键词

Quantum Computing Algorithms and ArchitectureQuantum Information and CryptographyAdvancements in Semiconductor Devices and Circuit Design

摘要

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 cannot be fully corrected through oversampling or by performing a larger set of experiments. We present an alternative method for tomography to reconstruct an entire library of gates in a self-consistent manner. The essential ingredient is to define a likelihood function that assumes nothing about the gates used for preparation and measurement. In order to make the resulting optimization tractable, we linearize about the target, a reasonable approximation when benchmarking a quantum computer as opposed to probing a black-box function.