Addressing Temporal Variations in Qubit Quality Metrics for Parameterized Quantum Circuits

Mahabubul Alam, Abdullah Ash-Saki, Swaroop Ghosh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The public access to noisy intermediate-scale quantum (NISQ) computers facilitated by IBM, Rigetti, D - Wave, etc., has propelled the development of quantum applications that may offer quantum supremacy in the future large-scale quantum computers. Parameterized quantum circuits (P QC) have emerged as a major driver for the development of quantum routines that potentially improve the circuit's resilience to the noise. PQC's have been applied in both generative (e.g. generative adversarial network) and discriminative (e.g. quantum classifier) tasks in the field of quantum machine learning. PQC's have been also considered to realize high fidelity quantum gates with the available imperfect native gates of a target quantum hardware. Parameters of a P QC are determined through an iterative training process for a target noisy quantum hardware. However, temporal variations in qubit quality metrics affect the performance of a P QC. Therefore, the circuit that is trained without considering temporal variations exhibits poor fidelity over time. In this paper, we present training methodologies for P QC in a completely classical environment that can improve the fidelity of the trained P QC on a target NISQ hardware by as much as 21.91%.

Original languageEnglish (US)
Title of host publicationInternational Symposium on Low Power Electronics and Design, ISLPED 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728129549
DOIs
StatePublished - Jul 2019
Event2019 IEEE/ACM International Symposium on Low Power Electronics and Design, ISLPED 2019 - Lausanne, Switzerland
Duration: Jul 29 2019Jul 31 2019

Publication series

NameProceedings of the International Symposium on Low Power Electronics and Design
Volume2019-July
ISSN (Print)1533-4678

Conference

Conference2019 IEEE/ACM International Symposium on Low Power Electronics and Design, ISLPED 2019
CountrySwitzerland
CityLausanne
Period7/29/197/31/19

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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    Alam, M., Ash-Saki, A., & Ghosh, S. (2019). Addressing Temporal Variations in Qubit Quality Metrics for Parameterized Quantum Circuits. In International Symposium on Low Power Electronics and Design, ISLPED 2019 [8824907] (Proceedings of the International Symposium on Low Power Electronics and Design; Vol. 2019-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISLPED.2019.8824907