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Practical implementation of many quantum algorithms known today is limited by the coherence time of the executing quantum hardware and quantum sampling noise.
I. Sandberg, On volterra expansions for time-varying nonlinear systems, IEEE Transactions on Circuits and Systems 30
1983
Earlier work this paper cites.
S. Boyd and L. Chua, Fading memory and the problem of approximating nonlinear operators with Volterra series, IEEE Transactions on Circuits and Systems 32
1985
Earlier work this paper cites.
X. Zhou, D. W. Leung, and I. L. Chuang, Methodology for quantum logic gate construction, Physical Review A 62
2000
Earlier work this paper cites.
H. Jaeger and H. Haas, Harnessing Nonlinearity: Predicting Chaotic Systems and Saving Energy in Wireless Communication, Science 304
2004
Earlier work this paper cites.
K. Burse, R. N. Yadav, and S. C. Shrivastava, Channel equalization using neural networks: A review, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews) 40
2010
Earlier work this paper cites.
L. Larger, M. C. Soriano, D. Brunner, L. Appeltant, J. M. Gutierrez, L. Pesquera, C. R. Mirasso, and I. Fischer, Photonic information processing beyond Turing: an optoelectronic implementation of reservoir computing, Optics Express 20
2012
Earlier work this paper cites.
A. Graves, A.-R. Mohamed, and G. Hinton, Speech recognition with deep recurrent neural networks, in 2013 IEEE International Conference on Acoustics, Speech and Signal Processing (2013) pp. 6645–6649
2013
Earlier work this paper cites.
D. Brunner, M. C. Soriano, C. R. Mirasso, and I. Fischer, Parallel photonic information processing at gigabyte per second data rates using transient states, Nature Communications 4
2013
Earlier work this paper cites.
J. R. McClean, J. Romero, R. Babbush, and A. Aspuru-Guzik, The theory of variational hybrid quantum-classical algorithms, New Journal of Physics 18
2016
Earlier work this paper cites.
S. Sheldon, E. Magesan, J. M. Chow, and J. M. Gambetta, Procedure for systematically tuning up cross-talk in the cross-resonance gate, Physical Review A 93
2016
Earlier work this paper cites.
A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, Ł. Kaiser, and I. Polosukhin, Attention is all you need, Advances in neural information processing systems 30
2017
Earlier work this paper cites.
K. Fujii and K. Nakajima, Harnessing disordered-ensemble quantum dynamics for machine learning, Physical Review Applied 8
2017
Earlier work this paper cites.
J. R. McClean, S. Boixo, V. N. Smelyanskiy, R. Babbush, and H. Neven, Barren plateaus in quantum neural network training landscapes, Nature Communications 9
2018
Earlier work this paper 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 115
2019
Earlier work this paper cites.
V. Havlíček, A. D. Córcoles, K. Temme, A. W. Harrow, A. Kandala, J. M. Chow, and J. M. Gambetta, Supervised learning with quantum-enhanced feature spaces, Nature 567
2019
Earlier work this paper cites.
I. Cong, S. Choi, and M. D. Lukin, Quantum convolutional neural networks, Nature Physics 15
2019
Earlier work this paper cites.
2019
Earlier work this paper cites.
B. Skinner, J. Ruhman, and A. Nahum, Measurement-induced phase transitions in the dynamics of entanglement, Physical Review X 9
2019
Earlier work this paper cites.
A. Chattopadhyay, P. Hassanzadeh, and D. Subramanian, Data-driven predictions of a multiscale Lorenz 96 chaotic system using machine-learning methods: reservoir computing, artificial neural network, and long short-term memory network, Nonlinear Processes in Geophysics 27
2020
Earlier work this paper cites.
D. Marković, A. Mizrahi, D. Querlioz, and J. Grollier, Physics for neuromorphic computing, Nature Reviews Physics 2
2020
Earlier work this paper cites.
J. Dong, M. Rafayelyan, F. Krzakala, and S. Gigan, Optical reservoir computing using multiple light scattering for chaotic systems prediction, IEEE Journal of Selected Topics in Quantum Electronics 26
2020
Earlier work this paper cites.
J. Chen, H. I. Nurdin, and N. Yamamoto, Temporal Information Processing on Noisy Quantum Computers, Physical Review Applied 14
2020
Earlier work this paper cites.
L. Gonon and J.-P. Ortega, Reservoir Computing Universality With Stochastic Inputs, IEEE Transactions on Neural Networks and Learning Systems 31
2020
Earlier work this paper cites.
D. Canaday, A. Pomerance, and D. J. Gauthier, Model-free control of dynamical systems with deep reservoir computing, Journal of Physics: Complexity 2
2021
Cited alongside, same era.
2021
Cited alongside, same era.
G. Angelatos, S. A. Khan, and H. E. Türeci, Reservoir Computing Approach to Quantum State Measurement, Physical Review X 11
2021
Cited alongside, same era.
M. Schuld and F. Petruccione, Machine Learning with Quantum Computers , Quantum Science and Technology (Springer International Publishing, Cham, 2021)
2021
Cited alongside, same era.
M. Cerezo, A. Arrasmith, R. Babbush, S. C. Benjamin, S. Endo, K. Fujii, J. R. McClean, K. Mitarai, X. Yuan, L. Cincio, and P. J. Coles, Variational quantum algorithms, Nature Reviews Physics 3
M. Block, Y. Bao, S. Choi, E. Altman, and N. Y. Yao, Measurement-Induced Transition in Long-Range Interacting Quantum Circuits, Physical Review Letters 128
2022
Later among the works it cites.
H. Fan, L. Wang, Y. Du, Y. Wang, J. Xiao, and X. Wang, Learning the dynamics of coupled oscillators from transients, Physical Review Research 4
2022
Later among the works it cites.
Y. Suzuki, Q. Gao, K. C. Pradel, K. Yasuoka, and N. Yamamoto, Natural quantum reservoir computing for temporal information processing, Scientific Reports 12
2022
Later among the works it cites.
2022
Later among the works it cites.
Z. Holmes, K. Sharma, M. Cerezo, and P. J. Coles, Connecting Ansatz Expressibility to Gradient Magnitudes and Barren Plateaus, PRX Quantum 3
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Cited alongside, same era.
P. Mujal, R. Martínez-Peña, J. Nokkala, J. García-Beni, G. L. Giorgi, M. C. Soriano, and R. Zambrini, Opportunities in Quantum Reservoir Computing and Extreme Learning Machines, Advanced Quantum Technologies 4
2021
Cited alongside, same era.
J. Nokkala, R. Martínez-Peña, G. L. Giorgi, V. Parigi, M. C. Soriano, and R. Zambrini, Gaussian states of continuous-variable quantum systems provide universal and versatile reservoir computing, Communications Physics 4
2021
Cited alongside, same era.
S. Wang, E. Fontana, M. Cerezo, K. Sharma, A. Sone, L. Cincio, and P. J. Coles, Noise-induced barren plateaus in variational quantum algorithms, Nature Communications 12
2021
Cited alongside, same era.
D. Stilck França and R. García-Patrón, Limitations of optimization algorithms on noisy quantum devices, Nature Physics 17
2021
Cited alongside, same era.
S. Gherardini, G. Giachetti, S. Ruffo, and A. Trombettoni, Thermalization processes induced by quantum monitoring in multilevel systems, Physical Review E 104
2021
Cited alongside, same era.
K. Nakajima and I. Fischer, Reservoir Computing: Theory, Physical Implementations, and Applications (Springer Singapore, 2021)
2021
Cited alongside, same era.
2021
Cited alongside, same era.
2022
Later among the works it cites.
OpenAI, Gpt-4 technical report, arXiv:2303.08774 [cs.CL] (2023)
2023
Closest in time.
F. Hu, G. Angelatos, S. A. Khan, M. Vives, E. Türeci, L. Bello, G. E. Rowlands, G. J. Ribeill, and H. E. Türeci, Tackling sampling noise in physical systems for machine learning applications: Fundamental limits and eigentasks, Physical Review X 13
2023
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2023
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2023
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2023
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2023
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2023
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D. Bluvstein, S. J. Evered, A. A. Geim, S. H. Li, H. Zhou, T. Manovitz, S. Ebadi, M. Cain, M. Kalinowski, D. Hangleiter, J. P. B. Ataides, N. Maskara, I. Cong, X. Gao, P. S. Rodriguez, T. Karolyshyn, G. Semeghini, M. J. Gullans, M. Greiner, V. Vuletić, and M. D. Lukin, Logical quantum processor based on reconfigurable atom arrays, Nature (2023)
2023
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E. Chertkov, Z. Cheng, A. C. Potter, S. Gopalakrishnan, T. M. Gatterman, J. A. Gerber, K. Gilmore, D. Gresh, A. Hall, A. Hankin, M. Matheny, T. Mengle, D. Hayes, B. Neyenhuis, R. Stutz, and M. Foss-Feig, Characterizing a non-equilibrium phase transition on a quantum computer, Nature Physics 19
2023
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2024
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2024
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F. Hu and S. A. Khan, skhanCC/NISQRC-Codes: NISQRC Codes v0.1 (2024)
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