Suppressing Quantum Circuit Errors Due to System Variability
- IBM Quantum, Yorktown Heights, NY (United States)
We present a quantum circuit optimization technique that takes into account the variability in error rates that is inherent across present-day noisy quantum computing platforms. This method can be run after qubit routing or postcompilation and consists of computing isomorphic subgraphs to input circuits and scoring each using heuristic cost functions derived from system calibration data. Using an independent standard algorithmic test suite, we show that it is possible to recover on average nearly 40% of missing fidelity using better qubit selection via efficient to compute cost functions. We demonstrate additional performance gains by considering qubit placement over multiple quantum processors. The overhead from these tools is minimal with respect to other compilation steps, such as qubit routing, as the number of qubits increases. As such, our method can be used to find qubit mappings for problems at the scale of quantum advantage and beyond.
- Research Organization:
- National Quantum Information Science (QIS) Research Centers (United States). Co-design Center for Quantum Advantage (C2QA); Brookhaven National Laboratory (BNL), Upton, NY (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC)
- Grant/Contract Number:
- SC0012704
- OSTI ID:
- 2425551
- Journal Information:
- PRX Quantum, Journal Name: PRX Quantum Journal Issue: 1 Vol. 4; ISSN 2691-3399
- Publisher:
- American Physical Society (APS)Copyright Statement
- Country of Publication:
- United States
- Language:
- English
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