Characterizing the memory capacity of transmon qubit reservoirs

J. Dambre, D. Verstraeten, B. Schrauwen, and S. Massar, “Information processing capacity of dynamical systems,” Scientific reports

2012

Earlier work this paper cites.

Cambridge University Press, 2014

W. Gerstner, W. M. Kistler, R. Naud, and L. Paninski, Neuronal dynamics: From single neurons to networks and models of cognition · 2014

Earlier work this paper cites.

I. Farkaš, R. Bosák, and P. Gergel’, “Computational analysis of memory capacity in echo state networks,” Neural Networks

2016

Earlier work this paper cites.

K. Fujii and K. Nakajima, “Harnessing disordered-ensemble quantum dynamics for machine learning,” Physical Review Applied

2017

Earlier work this paper cites.

M. Inubushi and K. Yoshimura, “Reservoir computing beyond memory-nonlinearity trade-off,” Scientific reports

2017

Earlier work this paper cites.

B. Kia, J. F. Lindner, and W. L. Ditto, “Nonlinear dynamics as an engine of computation,” Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences

2017

Earlier work this paper cites.

H. Noh, T. You, J. Mun, and B. Han, “Regularizing deep neural networks by noise: Its interpretation and optimization,” in Advances in Neural Information Processing Systems

2017

Cited alongside, same era.

G. Tanaka, T. Yamane, J. B. Héroux, R. Nakane, N. Kanazawa, S. Takeda, H. Numata, D. Nakano, and A. Hirose, “Recent advances in physical reservoir computing: A review,” Neural Networks

2019

Cited alongside, same era.

K. Nakajima, K. Fujii, M. Negoro, K. Mitarai, and M. Kitagawa, “Boosting computational power through spatial multiplexing in quantum reservoir computing,” Physical Review Applied

2019

Cited alongside, same era.

J. Chen and H. I. Nurdin, “Learning nonlinear input–output maps with dissipative quantum systems,” Quantum Information Processing

2019

Cited alongside, same era.

H. A. et al., “Qiskit: An open-source framework for quantum computing,” 2019

S. Ghosh, A. Opala, M. Matuszewski, T. Paterek, and T. C. Liew, “Quantum reservoir processing,” npj Quantum Information

2019

Later among the works it cites.

G. Tanaka, T. Yamane, J. B. Héroux, R. Nakane, N. Kanazawa, S. Takeda, H. Numata, D. Nakano, and A. Hirose, “Recent advances in physical reservoir computing: A review,” Neural Networks

2019

Later among the works it cites.

L. Govia, G. Ribeill, G. Rowlands, H. Krovi, and T. Ohki, “Quantum reservoir computing with a single nonlinear oscillator,” arXiv preprint arXiv:2004.14965

Original

2020

Closest in time.

A. Kutvonen, K. Fujii, and T. Sagawa, “Optimizing a quantum reservoir computer for time series prediction,” Scientific reports

2020

Closest in time.

J. Chen, H. I. Nurdin, and N. Yamamoto, “Temporal information processing on noisy quantum computers,” arXiv preprint arXiv:2001.09498