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Cited by 437

The DOI matches its Crossref record; 66 of the 66 references it cites were found in a registry or an index.

Quantum-classical computation of Schwinger model dynamics using quantum computers

Open access
Klco, N., Dumitrescu, E. F., McCaskey, A. J., Morris, T. D., Pooser, R. C., Sanz, M., Solano, E., Lougovski, P., Savage, M. J.·2018·Physical Review A

Abstract

We present a quantum-classical algorithm to study the dynamics of the two-spatial-site Schwinger model on IBM's quantum computers. Using rotational symmetries, total charge, and parity, the number of qubits needed to perform computation is reduced by a factor of $\ensuremath{\sim}5$, removing exponentially large unphysical sectors from the Hilbert space. Our work opens an avenue for exploration of other lattice quantum field theories, such as quantum chromodynamics, where classical computation is used to find symmetry sectors in which the quantum computer evaluates the dynamics of quantum fluctuations.

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Crossref · 10.1103/physreva.98.032331

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Metadata

Authors
Klco, N., Dumitrescu, E. F., McCaskey, A. J., Morris, T. D., Pooser, R. C., Sanz, M., Solano, E., Lougovski, P., & Savage, M. J.
Venue
Physical Review A
Published
2018-09-28
Volume
98
Issue
3
ISSN
  • 0556-2791 (ISSN-L)
  • 2469-9926
  • 2469-9934
OpenAlex
W2794902311
Cited by
437
References
66
FWCI
24.05
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Quantum-classical computation of Schwinger model dynamics using quantum computers. https://app.cochat.ai/papers/10.1103/physreva.98.032331
The paper
Klco, N., Dumitrescu, E. F., McCaskey, A. J., Morris, T. D., Pooser, R. C., Sanz, M., Solano, E., Lougovski, P., & Savage, M. J. (2018). Quantum-classical computation of Schwinger model dynamics using quantum computers. Physical Review A. https://doi.org/10.1103/physreva.98.032331

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.