Tailoring the light–matter interaction for high-fidelity holonomic gate operations in multiple systems

Realization of quantum computing requires the development of high-fidelity quantum gates that are resilient to decoherence, control errors, and environmental noise. While non-adiabatic holonomic quantum computation (NHQC) offers a promising approach, it often necessitates system-specific adjustments. This work presents a versatile scheme for implementing NHQC gates across multiple qubit systems by optimizing multiple degrees of freedom using a genetic algorithm. The scheme is applied to three qubit systems: ensemble rare-earth ion (REI) qubits, single REI qubits, and superconducting transmon qubits. Numerical simulations demonstrate that the optimized gate operations are robust against frequency detuning and induce low off-resonant excitations, making the scheme effective for advancing fault-tolerant quantum computation across various platforms.

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Publication Details

Journal
Journal of the Optical Society of America B
Published
2024-11-25
DOI
https://doi.org/10.1364/josab.541904
Primary Topic
Neural Networks and Reservoir Computing
Type
article
Field-Weighted Citation Impact
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article

Tailoring the light–matter interaction for high-fidelity holonomic gate operations in multiple systems

Jiamin Qiu, J. Moser, Ying Yan, Jie Lu et al.
Journal of the Optical Society of America B
Neural Networks and Reservoir Computing
article

Tailoring the light–matter interaction for high-fidelity holonomic gate operations in multiple systems

Jiamin Qiu, J. Moser, Ying Yan, Jie Lu, Zhihuang Kang, Shutong Wu, Kunji Han
article en

Abstract

Realization of quantum computing requires the development of high-fidelity quantum gates that are resilient to decoherence, control errors, and environmental noise. While non-adiabatic holonomic quantum computation (NHQC) offers a promising approach, it often necessitates system-specific adjustments. This work presents a versatile scheme for implementing NHQC gates across multiple qubit systems by optimizing multiple degrees of freedom using a genetic algorithm. The scheme is applied to three qubit systems: ensemble rare-earth ion (REI) qubits, single REI qubits, and superconducting transmon qubits. Numerical simulations demonstrate that the optimized gate operations are robust against frequency detuning and induce low off-resonant excitations, making the scheme effective for advancing fault-tolerant quantum computation across various platforms.

Journal of the Optical Society of America BVol. 42(1)
Shanghai University (CN)
Affordable and clean energy
Openalex Percentile: Top 81%
Neural Networks and Reservoir Computing
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Tailoring the light–matter interaction for high-fidelity holonomic gate operations in multiple systems — Jiamin Qiu, J. Moser, et al. · Journal of the Optical Society of America B (2024) | TGRS Research Map | TGRS