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Libra: Collaborating with Basis-Inverted Circuits to Mitigate State-Dependent Errors on NISQ Programs
DescriptionNoisy intermediate-scale quantum (NISQ) computers suffer from state-dependent errors due to the short relaxation time of sensitive qubits.
This state-dependent error distorts the result distribution and makes inferring correct answers on NISQ machines challenging.
To tackle this challenge, we propose \textit{Libra} (coLaboratIng with Basis-inveRted quAntum-bit), which supports generating measurement results with balanced correct answers by mitigating quantum error caused by state-dependent bias.
Instead of running a regular circuit, \textit{Libra} executes the regular and basis-inverted circuits at half the number of measurements each.
The noise characteristics due to the relaxation shown from the regular and basis-inverted circuit executions are different since their defined initial bases are in opposite directions.
Finally, \textit{Libra} reconstructs the final distribution by multiplying and normalizing the measured results from the regular and inverted circuits.
In our experiments, \textit{Libra} achieves up to 78\% higher PST and up to 55\% lower L2-Norm error compared to previous quantum error mitigation techniques.
Event Type
Work-in-Progress Poster
TimeTuesday, June 256:00pm - 7:00pm PDT
LocationLevel 2 Lobby
Topics
AI
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