qiskit-hackathon-korea-22
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Quantize leakage using Leakage Randomized Benchmarking
Abstract
We will implement Leakage randomized benchmarking (LRB) using Qiskit Experiments.
Description
We define transmon qubits by limiting our attention to $|0\rangle$ and $|1\rangle$ states, ignoring all the other excited states. This approach works due to slight anharmonicity of transmons, but there can be always “leakage”, states in the computational space excited to the leakage space, and “seepage”, states in the leakage space relaxed into the computational space.
Such leakage and seepage are significant source of errors because they are usually not considered in quantum error correction. If one wants to correct them in a fault-tolerant way, significant hardware resources have to be dedicated to detect and correct leakage and seepage.
Now that we know how malicious leekage and seepage are, we should see how much leakage and seepage we have in our gate set. Such protocol is introduced in Ref where authors slightly modified standard randomized benchmarking. In this project, we will implement leakage randomized benchmarking in Ref using Qiskit Experiments.
Ref: Quantification and characterization of leakage errors, Wood et al., PRA.
Members
- @githubhandle
- @githubhandle - Slack:
@slackhandleemail:[email protected] - Qiskit Coach: @kjwcoo
Deliverable
Module for Qiskit Experiments
GitHub repo
I'm intereted in your idea. I want to know how leakage RB is different from standard RB and how you want to use leakage RB to detect leakage in the gate set.
@bicycle315 DM me in the slack channel! We can either make a group chat in Kakaotalk or in slack. My name is Jinwoong Kim.
Github Repo: https://github.com/q-inho/Quantize-leakage-using-Leakage-Randomized-Benchmarking