Improving qubit utilization for superconducting devices.
Quantum measurement is important to quantum computing as it extracts out the outcome of the circuit at the end of the computation. Previously, all measurements have to be done at the end of the circuit. Otherwise, it will incur significant errors. But it is not the case now. Recently IBM starts supporting dynamic circuit through hardware (instead of software by simulator). With mid-circuit hardware measurement, we can improve circuit efficacy and fidelity from three aspects: (a) reduced qubit usage, (b) reduced swap insertion, and (c) improved fidelity. We demonstrate this using real-world applications Bernstein Verizani on real hardware and show that circuit resource usage can be improved by 60%, and circuit fidelity can be improved by 15%. We design a compiler-assisted tool that can find and exploit the tradeoff between qubit reuse, fidelity, gate count, and circuit duration. We also developed a method for identi- fying whether qubit reuse will be beneficial for a given application. We evaluated our method on a representative set of important applications. We can reduce resource usage by up to 80% and improve circuit fidelity by up to 20%.
References
2023
ASPLOS
CaQR: A Compiler-Assisted Approach for Qubit Reuse through Dynamic Circuit
Fei Hua, Yuwei Jin, Yanhao Chen, and
6 more authors
In Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 3, Jun 2023
Quantum measurement is important to quantum computing as it extracts out the outcome of the circuit at the end of the computation. Previously, all measurements have to be done at the end of the circuit. Otherwise, it will incur significant errors. But it is not the case now. Recently IBM starts supporting dynamic circuit through hardware (instead of software by simulator). With mid-circuit hardware measurement, we can improve circuit efficacy and fidelity from three aspects: (a) reduced qubit usage, (b) reduced swap insertion, and (c) improved fidelity. We demonstrate this using real-world applications Bernstein Verizani on real hardware and show that circuit resource usage can be improved by 60%, and circuit fidelity can be improved by 15%. We design a compiler-assisted tool that can find and exploit the tradeoff between qubit reuse, fidelity, gate count, and circuit duration. We also developed a method for identifying whether qubit reuse will be beneficial for a given application. We evaluated our method on a representative set of important applications. We can reduce resource usage by up to 80% and improve circuit fidelity by up to 20%.
@inproceedings{huaetalasplos23,author={Hua, Fei and Jin, Yuwei and Chen, Yanhao and Vittal, Suhas and Krsulich, Kevin and Bishop, Lev S. and Lapeyre, John and Javadi-Abhari, Ali and Zhang, Eddy Z.},title={CaQR: A Compiler-Assisted Approach for Qubit Reuse through Dynamic Circuit},year={2023},isbn={9781450399180},publisher={Association for Computing Machinery},address={New York, NY, USA},doi={10.1145/3582016.3582030},booktitle={Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 3},pages={59–71},numpages={13},keywords={qubit reuse, circuit fidelity, qubit usage, mid-circuit measurement},location={Vancouver, BC, Canada},series={ASPLOS 2023}}