Analyzing the behaviour of D'WAVE quantum annealer: Fine-tuning parameterization and tests with restrictive Hamiltonian formulations

Esther Villar-Rodriguez, Eneko Osaba*, Izaskun Oregi

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

Despite being considered as the next frontier in computation, Quantum Computing is still in an early stage of development. Indeed, current commercial quantum computers suffer from some critical restraints, such as noisy processes and a limited amount of qubits, among others, that affect the performance of quantum algorithms. Despite these limitations, researchers have devoted much effort to propose different frameworks for efficiently using these Noisy Intermediate-Scale Quantum (NISQ) devices. One of these procedures is D'WAVE Systems' quantum-annealer, which can be used to solve optimization problems by translating them into an energy minimization problem. In this context, this work is focused on providing useful insights and information into the behaviour of the quantum-annealer when addressing real-world combinatorial optimization problems. Our main motivation with this study is to open some quantum computing frontiers to non-expert stakeholders. To this end, we perform an extensive experimentation, in the form of a parameter sensitive analysis. This experimentation has been conducted using the Traveling Salesman Problem as benchmarking problem, and adopting two QUBOs: state-of-the-art and a heuristically generated. Our analysis has been performed on a single 7-noded instance, and it is based on more than 200 different parameter configurations, comprising more than 3700 unitary runs and 7 million of quantum reads. Thanks to this study, findings related to the energy distribution and most appropriate parameter settings have been obtained. Finally, an additional study has been performed, aiming to determine the efficiency of the heuristically built QUBO in further TSP instances.

Original languageEnglish
Title of host publicationProceedings of the 2022 IEEE Symposium Series on Computational Intelligence, SSCI 2022
EditorsHisao Ishibuchi, Chee-Keong Kwoh, Ah-Hwee Tan, Dipti Srinivasan, Chunyan Miao, Anupam Trivedi, Keeley Crockett
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages938-946
Number of pages9
ISBN (Electronic)9781665487689
DOIs
Publication statusPublished - 2022
Event2022 IEEE Symposium Series on Computational Intelligence, SSCI 2022 - Singapore, Singapore
Duration: 4 Dec 20227 Dec 2022

Publication series

NameProceedings of the 2022 IEEE Symposium Series on Computational Intelligence, SSCI 2022

Conference

Conference2022 IEEE Symposium Series on Computational Intelligence, SSCI 2022
Country/TerritorySingapore
CitySingapore
Period4/12/227/12/22

Funding

This work was supported by the Basque Government through HAZITEK program (BIZIBIKE project, ZE-2021/00031), and ELKARTEK program (QUANTEK project, KK-2021/00070), and by the Spanish CDTI through Misiones Ciencia e Innovacin Program (CUCO) under Grant MIG-20211005.

FundersFunder number
CUCOMIG-20211005
Misiones Ciencia e Innovacin Program
Centro para el Desarrollo Tecnológico Industrial
Eusko JaurlaritzaZE-2021/00031, KK-2021/00070

    Keywords

    • D'WAVE
    • Optimization
    • Quantum Annealer
    • Quantum Computing
    • Traveling Salesman Problem

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