Noise-robust exploration of many-body quantum states on near-term quantum devices

Research output: Contribution to journalJournal articleResearchpeer-review

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Noise-robust exploration of many-body quantum states on near-term quantum devices. / Borregaard, Johannes; Christandl, Matthias; Stilck França, Daniel.

In: npj Quantum Information, Vol. 7, 45, 2021.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Borregaard, J, Christandl, M & Stilck França, D 2021, 'Noise-robust exploration of many-body quantum states on near-term quantum devices', npj Quantum Information, vol. 7, 45. https://doi.org/10.1038/s41534-021-00363-9

APA

Borregaard, J., Christandl, M., & Stilck França, D. (2021). Noise-robust exploration of many-body quantum states on near-term quantum devices. npj Quantum Information, 7, [45]. https://doi.org/10.1038/s41534-021-00363-9

Vancouver

Borregaard J, Christandl M, Stilck França D. Noise-robust exploration of many-body quantum states on near-term quantum devices. npj Quantum Information. 2021;7. 45. https://doi.org/10.1038/s41534-021-00363-9

Author

Borregaard, Johannes ; Christandl, Matthias ; Stilck França, Daniel. / Noise-robust exploration of many-body quantum states on near-term quantum devices. In: npj Quantum Information. 2021 ; Vol. 7.

Bibtex

@article{357c89b8d078433e8f645181a2a2f28c,
title = "Noise-robust exploration of many-body quantum states on near-term quantum devices",
abstract = "We describe a resource-efficient approach to studying many-body quantum states on noisy, intermediate-scale quantum devices. We employ a sequential generation model that allows us to bound the range of correlations in the resulting many-body quantum states. From this, we characterize situations where the estimation of local observables does not require the preparation of the entire state. Instead smaller patches of the state can be generated from which the observables can be estimated. This can potentially reduce circuit size and number of qubits for the computation of physical properties of the states. Moreover, we show that the effect of noise decreases along the computation. Our results apply to a broad class of widely studied tensor network states and can be directly applied to near-term implementations of variational quantum algorithms.",
author = "Johannes Borregaard and Matthias Christandl and {Stilck Fran{\c c}a}, Daniel",
year = "2021",
doi = "10.1038/s41534-021-00363-9",
language = "English",
volume = "7",
journal = "npj Quantum Information",
issn = "2056-6387",
publisher = "Nature Partner Journals",

}

RIS

TY - JOUR

T1 - Noise-robust exploration of many-body quantum states on near-term quantum devices

AU - Borregaard, Johannes

AU - Christandl, Matthias

AU - Stilck França, Daniel

PY - 2021

Y1 - 2021

N2 - We describe a resource-efficient approach to studying many-body quantum states on noisy, intermediate-scale quantum devices. We employ a sequential generation model that allows us to bound the range of correlations in the resulting many-body quantum states. From this, we characterize situations where the estimation of local observables does not require the preparation of the entire state. Instead smaller patches of the state can be generated from which the observables can be estimated. This can potentially reduce circuit size and number of qubits for the computation of physical properties of the states. Moreover, we show that the effect of noise decreases along the computation. Our results apply to a broad class of widely studied tensor network states and can be directly applied to near-term implementations of variational quantum algorithms.

AB - We describe a resource-efficient approach to studying many-body quantum states on noisy, intermediate-scale quantum devices. We employ a sequential generation model that allows us to bound the range of correlations in the resulting many-body quantum states. From this, we characterize situations where the estimation of local observables does not require the preparation of the entire state. Instead smaller patches of the state can be generated from which the observables can be estimated. This can potentially reduce circuit size and number of qubits for the computation of physical properties of the states. Moreover, we show that the effect of noise decreases along the computation. Our results apply to a broad class of widely studied tensor network states and can be directly applied to near-term implementations of variational quantum algorithms.

U2 - 10.1038/s41534-021-00363-9

DO - 10.1038/s41534-021-00363-9

M3 - Journal article

VL - 7

JO - npj Quantum Information

JF - npj Quantum Information

SN - 2056-6387

M1 - 45

ER -

ID: 257865995