[JC] Verification of Randomized Benchmarking with NISQ Devices

Value of the Information & Strength of the Argument

The presentation provides a solid introduction to randomized benchmarking and interleaved RB, with clear mathematical derivations and a logical progression from theory to practical application. The speaker’s original contribution—comparing IBM’s error rates with his own IRB measurements on a 3-qubit QFT—adds empirical value, and the use of Jensen-Shannon divergence to compare probability distributions is a rigorous approach. The argumentation is coherent, though the talk is more of a literature review with some original numerical work rather than a fully novel study. The speaker also addresses the important issue of gate-dependent noise, referencing Wallman’s work and extending it to two-qubit gates, which strengthens the scientific value.

Scientific Rigor, Source Quality, Title Accuracy

The presentation cites key papers in randomized benchmarking: Magesan et al. (2011, 2012) and Wallman (2018). These are foundational and well-regarded references. The speaker also mentions IBM’s documentation as a reference for RB implementation. The title accurately reflects the content, focusing on verification of RB with NISQ devices. The talk is a journal club presentation, so it is not a peer-reviewed study, but it demonstrates a good understanding of the literature and includes original numerical verification. The speaker does not provide external sources beyond the cited papers, but the references are appropriate and relevant.

The title accurately reflects the content: the speaker discusses verification of randomized benchmarking protocols on NISQ devices, including interleaved RB and gate-dependent noise considerations.

7/10

The presentation is based on established randomized benchmarking literature and includes original numerical verification for two-qubit gates. However, the talk is a journal club presentation, not a peer-reviewed study, and the experimental validation is limited to simulations and a single device comparison.

Markers derived by PSI from the transcript: the creator did not define chapters.

• 00:00Introduction and overview of the presentation
• 02:00Review of quantum information processing basics
• 05:00Definition of quantum errors and Kraus operators
• 08:00Explanation of Clifford twirl and depolarizing channel
• 10:00Introduction to randomized benchmarking (RB) protocol
• 13:00Discussion of error per Clifford and basis gates
• 15:00Comparison of IBM error rates with IRB measurements on 3-qubit QFT
• 18:00Addressing gate-dependent noise and Wallman's 2018 paper
• 21:00Numerical verification for two-qubit gates
• 24:00Practical considerations for IRB on real devices and conclusions

• Randomized benchmarking with gate-dependent noise — Referenced as the main theoretical basis for handling gate-dependent noise in RB.
• Scalable and robust randomized benchmarking of quantum processes — Foundational paper for randomized benchmarking.
• Efficient measurement of quantum gate error by interleaved randomized benchmarking — Introduces interleaved randomized benchmarking (IRB).

• Scalable and robust randomized benchmarking of quantum processes — Supports the RB methodology presented.
• Efficient measurement of quantum gate error by interleaved randomized benchmarking — Supports the IRB methodology and its accuracy.

• Randomized benchmarking with gate-dependent noise — While the speaker uses this paper to justify handling gate-dependent noise, the paper itself notes limitations for two-qubit gates, which the speaker addresses with his own numerical verification.