Estimating the Coherence of Noise in Quantum Control of a Solid-State Qubit

Guanru Feng, Joel J. Wallman, Brandon Buonacorsi, Franklin H. Cho, Daniel K. Park, Tao Xin, Dawei Lu, Jonathan Baugh, Raymond Laflamme

Research output: Contribution to journalArticlepeer-review

19 Citations (Scopus)

Abstract

To exploit a given physical system for quantum information processing, it is critical to understand the different types of noise affecting quantum control. Distinguishing coherent and incoherent errors is extremely useful as they can be reduced in different ways. Coherent errors are generally easier to reduce at the hardware level, e.g., by improving calibration, whereas some sources of incoherent errors, e.g., T2∗ processes, can be reduced by engineering robust pulses. In this work, we illustrate how purity benchmarking and randomized benchmarking can be used together to distinguish between coherent and incoherent errors and to quantify the reduction in both of them due to using optimal control pulses and accounting for the transfer function in an electron spin resonance system. We also prove that purity benchmarking provides bounds on the optimal fidelity and diamond norm that can be achieved by correcting the coherent errors through improving calibration.

Original languageEnglish
Article number260501
JournalPhysical review letters
Volume117
Issue number26
DOIs
Publication statusPublished - 2016 Dec 20

Bibliographical note

Publisher Copyright:
© 2016 American Physical Society.

All Science Journal Classification (ASJC) codes

  • Physics and Astronomy(all)

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