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Cycle discrete-time quantum walks on a noisy quantum computer [software] Open Access

The rapid development of quantum computing has led to increasing interest in quantum algorithms for a variety of different applications. Quantum walks have also experienced a surge in interest due to their potential use in quantum algorithms. Using the qiskit software package, we test how accurately the current generation of quantum computers provided by IBM can simulate a cycle discrete-time quantum walk. Implementing an 8-node, 8-step walk and a simpler 4-node, 4-step discrete-time quantum walk on an IBM quantum device known as ibmq_quito, the results for each step of the respective walks are presented. A custom noise model is developed in order to estimate that noise levels in the ibmq_santiago quantum device would need to be reduced by at least 94% in order to execute a 16-node, 16-step cycle discrete-time quantum walk to a reasonable level of fidelity.

Descriptions

Resource type
Software
Contributors
Creator: Wadhia, Vivek 1
Contact person: Wadhia, Vivek 1
Data collector: Wadhia, Vivek 1
Editor: Wadhia, Vivek 1
Contact person: Kendon, Viv 2
Data curator: Kendon, Viv 2
Contact person: Chancellor, Nicholas 1
Editor: Chancellor, Nicholas 1
1 Durham University
2 Strathclyde University
Funder
Engineering and Physical Sciences Research Council
Research methods
Remote experiments on IBM quantum experience and local Python simulations
Other description
Keyword
Quantum computing
IBM quantum experience
Subject
Quantum computing
Location
Language
Python
Excel
Cited in
arxiv:2307.11027
Identifier
ark:/32150/r15x21tf47n
doi:10.15128/r15x21tf47n
Rights
Creative Commons Attribution 4.0 International (CC BY)

Publisher
Durham University
Date Created
2023-08-08

File Details

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N.G. Chancellor
Date Uploaded
Date Modified
9 August 2023, 13:08:32
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File format: zip (ZIP Format)
Mime type: application/zip
File size: 38963
Last modified: 2023:08:08 17:44:34+01:00
Filename: Cycle_DTQWs_on_nosiy_qc_data.zip
Original checksum: 4d421f12f6d75d7ea626f7565ee12481
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