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qiskit-advocate / qamp-spring-21

Qiskit advocate mentorship program (QAMP) spring 21 cohort
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Bayesian techniques for Randomized Benchmarking #20

Open ShellyGarion opened 3 years ago

ShellyGarion commented 3 years ago

Description

Enhance the current Randomized Benchmarking experiments in Qiskit-Ignis with advanced statistical and Bayesian techniques, based on the following papers:

  1. Bayesian Inference for Randomized Benchmarking Protocols

  2. Statistical analysis of randomized benchmarking

  3. Accelerated randomized benchmarking

Mentor/s

Shelly Garion (@ShellyGarion), Research Staff Member at IBM Research Haifa, Qiskit Ignis core developer.

Type of participant

Knowledge in statistical and Bayesian methods

Number of participants

1 - 2

Deliverable

A pull request with these advanced methods merged into Qiskit-Ignis Randomized Benchmarking code

HuangJunye commented 3 years ago

@pdc-quantum @shesha-raghunathan Can you comment on this issue so that I can assign you? Please also work with your mentor to refine the project, define scope and deliverables and update the project description in this issue.

pdc-quantum commented 3 years ago

“See” you Monday!

shesha-raghunathan commented 3 years ago

@HuangJunye Have had a meeting with @ShellyGarion.

ShellyGarion commented 3 years ago

Plan:

  1. Open a PR in qiskit-ignis or qiskit-experiments with a Jupyter notebook describing Bayesian inference for standard 2-qubit RB
  2. Further explore Bayesian methods for interleaved RB with interrelated CX gate, as described in Accelerated RB paper - compare the error with the reported CX error of the device
  3. Perform an RB experiment on a noisy simulator and quantum hardware, to demonstrate the Bayesian methods