Noise detection with spectator qubits and quantum feature engineering

Youssry, A; Paz-Silva, GA; Ferrie, C

Noise detection with spectator qubits and quantum feature engineering

Youssry, A Paz-Silva, GA Ferrie, C

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Publisher:: IOP Publishing Ltd
Publication Type:: Journal Article
Citation:: New Journal of Physics, 2023, 25, (7)
Issue Date:: 2023-07-01

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Field	Value	Language
dc.contributor.author	Youssry, A
dc.contributor.author	Paz-Silva, GA
dc.contributor.author	Ferrie, C https://orcid.org/0000-0003-2736-9943
dc.date.accessioned	2024-02-26T04:22:48Z
dc.date.available	2024-02-26T04:22:48Z
dc.date.issued	2023-07-01
dc.identifier.citation	New Journal of Physics, 2023, 25, (7)
dc.identifier.issn	1367-2630
dc.identifier.issn	1367-2630
dc.identifier.uri	http://hdl.handle.net/10453/175886
dc.description.abstract	Designing optimal control pulses that drive a noisy qubit to a target state is a challenging and crucial task for quantum engineering. In a situation where the properties of the quantum noise affecting the system are dynamic, a periodic characterization procedure is essential to ensure the models are updated. As a result, the operation of the qubit is disrupted frequently. In this paper, we propose a protocol that addresses this challenge by making use of a spectator qubit to monitor the noise in real-time. We develop a machine-learning-based quantum feature engineering approach for designing the protocol. The complexity of the protocol is front-loaded in a characterization phase, which allow real-time execution during the quantum computations. We present the results of numerical simulations that showcase the favorable performance of the protocol.
dc.language	English
dc.publisher	IOP Publishing Ltd
dc.relation	http://purl.org/au-research/grants/arc/CE170100012
dc.relation.ispartof	New Journal of Physics
dc.relation.isbasedon	10.1088/1367-2630/ace2e4
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	02 Physical Sciences
dc.subject.classification	Fluids & Plasmas
dc.subject.classification	51 Physical sciences
dc.title	Noise detection with spectator qubits and quantum feature engineering
dc.type	Journal Article
utslib.citation.volume	25
utslib.for	02 Physical Sciences
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Strength - QSI - Centre for Quantum Software and Information
utslib.copyright.status	open_access	*
dc.date.updated	2024-02-26T04:22:47Z
pubs.issue	7
pubs.publication-status	Published
pubs.volume	25
utslib.citation.issue	7

Abstract:

Designing optimal control pulses that drive a noisy qubit to a target state is a challenging and crucial task for quantum engineering. In a situation where the properties of the quantum noise affecting the system are dynamic, a periodic characterization procedure is essential to ensure the models are updated. As a result, the operation of the qubit is disrupted frequently. In this paper, we propose a protocol that addresses this challenge by making use of a spectator qubit to monitor the noise in real-time. We develop a machine-learning-based quantum feature engineering approach for designing the protocol. The complexity of the protocol is front-loaded in a characterization phase, which allow real-time execution during the quantum computations. We present the results of numerical simulations that showcase the favorable performance of the protocol.

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http://hdl.handle.net/10453/175886