Evolutionary computation for adaptive quantum device design

TY - JOUR

T1 - Evolutionary computation for adaptive quantum device design

AU - Mortimer, Luke

AU - Estarellas, Marta P.

AU - Spiller, Timothy P.

AU - D'Amico, Irene

N1 - Funding Information: M.P.E. would like to acknowledge support from the Japanese MEXT Quantum Leap Flagship Program (MEXT Q‐LEAP) Grant Number JPMXS0118069605. This project was in part undertaken on the Viking Cluster, a high‐performance computing facility provided by the University of York. The authors are grateful for the computational support from the University of York High Performance Computing service, Viking and the Research Computing team. Publisher Copyright: © 2021 The Authors. Advanced Quantum Technologies published by Wiley-VCH GmbH

PY - 2021/8/10

Y1 - 2021/8/10

N2 - As noisy intermediate-scale quantum (NISQ) devices grow in number of qubits, determining good or even adequate parameter configurations for a given application, or for device calibration, becomes a cumbersome task. An evolutionary algorithm is presented here which allows for the automatic tuning of the parameters of any arrangement of coupled qubits, to perform a given task with high fidelity. The algorithm's use is exemplified with the generation of schemes for the distribution of quantum states and the design of multi-qubit gates. The algorithm is demonstrated to converge very rapidly, yielding unforeseeable designs of quantum devices that perform their required tasks with excellent fidelities. Given these promising results, practical scalability, and application versatility, the approach has the potential to become a powerful technique to aid the design and calibration of NISQ devices.

AB - As noisy intermediate-scale quantum (NISQ) devices grow in number of qubits, determining good or even adequate parameter configurations for a given application, or for device calibration, becomes a cumbersome task. An evolutionary algorithm is presented here which allows for the automatic tuning of the parameters of any arrangement of coupled qubits, to perform a given task with high fidelity. The algorithm's use is exemplified with the generation of schemes for the distribution of quantum states and the design of multi-qubit gates. The algorithm is demonstrated to converge very rapidly, yielding unforeseeable designs of quantum devices that perform their required tasks with excellent fidelities. Given these promising results, practical scalability, and application versatility, the approach has the potential to become a powerful technique to aid the design and calibration of NISQ devices.

KW - evolutionary computation

KW - genetic algorithms

KW - quantum computing

KW - quantum devices

KW - quantum information processing

KW - spin chains

KW - spin networks

UR - http://www.scopus.com/inward/record.url?scp=85107893590&partnerID=8YFLogxK

U2 - 10.1002/qute.202100013

DO - 10.1002/qute.202100013

M3 - Article

AN - SCOPUS:85107893590

SN - 2511-9044

JO - Advanced Quantum Technologies

JF - Advanced Quantum Technologies

M1 - 2100013

ER -