Dual-unitary Circuits as a Platform for Quantum Reservoir Computing
Abstract
Quantum reservoir computing (QRC) is a machine learning approach which employs the internal dynamics of a physical system (the reservoir) to encode and process information. In this work, we explore the use of dual-unitary circuits in a brickwork architecture as a platform for QRC, well suited to current noisy intermediate-scale quantum devices. Dual-unitary circuits present both practical and conceptual advantages. Our results indicate that, under appropriate conditions, dual-unitarity can lead to an enhanced regime of operation: we numerically verify that it improves memory effects and nonlinear processing, and shields against finite-shot noise, mitigating exponential concentration. Moreover, dual unitarity offers an intuitive picture of how operator dynamics gives rise to memory and nonlinear processing in circuit-based reservoirs.
Related
- Evaluating quantum circuits in the reservoir computing paradigm
- Quantum Reservoir Computing for Attention-like Selective Reproduction
- Learning Temporal Patterns in Financial Time Series: A Comparative Study of Quantum LSTM and Quantum Reservoir Computing
- Quantum Sensing of Non-Repeatable Events Enhanced by In-Sensor Quantum Reservoir Computing
- Dissipative phase transitions in quantum reservoir computing
BibTeX
@misc{alves2026dualunitary,
title = {{Dual-unitary Circuits as a Platform for Quantum Reservoir Computing}},
author = {Gabriel O. Alves and Pieter W. Claeys},
howpublished = {arXiv},
year = {2026},
month = sep,
doi = {10.48550/arxiv.2609.09292},
eprint = {2609.09292},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2609.09292},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - Dual-unitary Circuits as a Platform for Quantum Reservoir Computing
AU - Gabriel O. Alves
AU - Pieter W. Claeys
PY - 2026
DA - 2026/09/08
PB - arXiv
DO - 10.48550/arxiv.2609.09292
UR - https://arxiv.org/abs/2609.09292
AB - Quantum reservoir computing (QRC) is a machine learning approach which employs the internal dynamics of a physical system (the reservoir) to encode and process information. In this work, we explore the use of dual-unitary circuits in a brickwork architecture as a platform for QRC, well suited to current noisy intermediate-scale quantum devices. Dual-unitary circuits present both practical and conceptual advantages. Our results indicate that, under appropriate conditions, dual-unitarity can lead to an enhanced regime of operation: we numerically verify that it improves memory effects and nonlinear processing, and shields against finite-shot noise, mitigating exponential concentration. Moreover, dual unitarity offers an intuitive picture of how operator dynamics gives rise to memory and nonlinear processing in circuit-based reservoirs.
ER -