Quantum Computation of a Quasiparticle Band Structure with the Quantum-Selected Configuration Interaction

Quasiparticle band structures are fundamental for understanding strongly correlated electron systems. While solving these structures accurately on classical computers is challenging, quantum computing offers a promising alternative. Specifically, the quantum subspace expansion (QSE) method, combined with the variational quantum eigensolver (VQE), provides a quantum algorithm for calculating quasiparticle band structures. However, optimizing the variational parameters in VQE becomes increasingly difficult as the system size grows, due to device noise, statistical noise, and the barren plateau problem. To address these challenges, we propose a hybrid approach that combines QSE with the quantum-selected configuration interaction (QSCI) method for calculating quasiparticle band structures. QSCI may leverage the VQE ansatz as an input state but, unlike the standard VQE, it does not require full optimization of the variational parameters, making it more scalable for larger quantum systems. Based on this approach, we demonstrate the quantum computation of the quasiparticle band structure of a silicon using 16 qubits on an IBM quantum processor.

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Publication Details

Journal
Journal of the Physical Society of Japan
Published
2025-10-21
DOI
https://doi.org/10.7566/jpsj.94.114002
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
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article

Quantum Computation of a Quasiparticle Band Structure with the Quantum-Selected Configuration Interaction

Sho Koh, Takahiro Ohgoe, Kazuhide Ichikawa, Hokuto Iwakiri et al.
Journal of the Physical Society of Japan
Quantum Computing Algorithms and Architecture
article

Quantum Computation of a Quasiparticle Band Structure with the Quantum-Selected Configuration Interaction

Sho Koh, Takahiro Ohgoe, Kazuhide Ichikawa, Hokuto Iwakiri, Masaya Kohda
article en

Abstract

Quasiparticle band structures are fundamental for understanding strongly correlated electron systems. While solving these structures accurately on classical computers is challenging, quantum computing offers a promising alternative. Specifically, the quantum subspace expansion (QSE) method, combined with the variational quantum eigensolver (VQE), provides a quantum algorithm for calculating quasiparticle band structures. However, optimizing the variational parameters in VQE becomes increasingly difficult as the system size grows, due to device noise, statistical noise, and the barren plateau problem. To address these challenges, we propose a hybrid approach that combines QSE with the quantum-selected configuration interaction (QSCI) method for calculating quasiparticle band structures. QSCI may leverage the VQE ansatz as an input state but, unlike the standard VQE, it does not require full optimization of the variational parameters, making it more scalable for larger quantum systems. Based on this approach, we demonstrate the quantum computation of the quasiparticle band structure of a silicon using 16 qubits on an IBM quantum processor.

Journal of the Physical Society of JapanVol. 94(11)
Panasonic (Japan) (JP)
Openalex Percentile: Top 84%
Quantum Computing Algorithms and Architecture
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Quantum Computation of a Quasiparticle Band Structure with the Quantum-Selected Configuration Interaction — Sho Koh, Takahiro Ohgoe, et al. · Journal of the Physical Society of Japan (2025) | TGRS Research Map | TGRS