Mirror Circuits Benchmark
Scalable randomized benchmarking method using mirror circuits that estimates the average infidelity of many-qubit logic layers. Unlike standard randomized benchmarking, which becomes infeasible beyond roughly five qubits, mirror circuits scale to hundreds of qubits. The technique can reveal and quantify crosstalk errors, demonstrated with simulations of up to 225 qubits and experiments on up to 16 physical qubits.[1]
- Algorithm: Randomized mirror circuits (Clifford-based)
- Category: other
- Qubits: 225
- Framework: pyGSTi, Cirq
- Hardware: Various (cloud quantum platforms)
- Reproducible: Yes
- Published:
- benchmarking
- mirror-circuits
- gate-fidelity
- scalable
- crosstalk
What algorithm does Mirror Circuits Benchmark use?
Mirror Circuits Benchmark uses the Randomized mirror circuits (Clifford-based) algorithm, categorized under other.
Frequently Asked Questions
What is the Mirror Circuits Benchmark benchmark?
Scalable randomized benchmarking method using mirror circuits that estimates the average infidelity of many-qubit logic layers. Unlike standard randomized benchmarking, which becomes infeasible beyond roughly five qubits, mirror circuits scale to hundreds of qubits. The technique can reveal and quantify crosstalk errors, demonstrated with simulations of up to 225 qubits and experiments on up to 16 physical qubits.
Is Mirror Circuits Benchmark reproducible?
Yes, this benchmark is reproducible.