Bulletin of the American Physical Society
APS March Meeting 2022
Volume 67, Number 3
Monday–Friday, March 14–18, 2022; Chicago
Session Q36: Quantum Software and Compilers: Simulation and Control
3:00 PM–5:36 PM,
Wednesday, March 16, 2022
Room: McCormick Place W-194A
Sponsoring
Unit:
DQI
Chair: Emery Doucet, University of Massachusetts-Lowell
Abstract: Q36.00007 : TimeStitch: Exploiting Slack to Mitigate Decoherence in Quantum Circuits*
4:36 PM–4:48 PM
Presenter:
Kaitlin N Smith
(University of Chicago)
Authors:
Kaitlin N Smith
(University of Chicago)
Gokul Subramanian Ravi
(University of Chicago)
Prakash Murali
(Princeton University)
Jonathan M Baker
(University of Chicago)
Nathan Earnest
(IBM Quantum)
Ali Javadi-Abhari
(IBM Quantum)
Frederic T Chong
(University of Chicago)
The coupling of qubits to their environment causes decoherence, adding significant noise to computation; thus, methods for combatting decoherence are needed to increase the performance of quantum algorithms on near-term machines. While many forms of error mitigation rely on adding extra gates to a circuit, calibrating new gates, or extending a circuit's runtime, this work leverages the gates already present in quantum programs. We exploit circuit slack, a common feature in compiled quantum circuits, and schedule single-qubit gates to counteract some errors.
Theory fails to capture all noise sources in NISQ devices, requiring practical solutions that better minimize unpredictable errors. Here, we present a technique that leverages quantum reversibility with novel slice-inverse tuning to pinpoint the optimum execution of single-qubit gates within circuits. When slack optimization is implemented as a compilation pass, quantum circuits on real machines experience fidelity boosts without violating critical path frontiers in the slack tuning procedures or in the final rescheduled circuit.
*This work is funded by CCF-1730082/1730449, NSF Phy-1818914;DE-SC0020289;DE-SC0020331;NSF OMA-2016136;Q-NEXT DOE NQI Center;IBM/CQE Postdoc Scholars;CI Fellows (NSF 2030859);IBM PhD Fellows.
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