Patrick J. Coles, Ph.D.

University of California, Berkeley, Berkeley, CA, United States 
Nuclear magnetic resonance, Materials
"Patrick Coles"
Cross-listing: Chemistry Tree


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Jeffrey Alan Reimer grad student 2008 UC Berkeley
 (Model for optically-induced nuclear spin polarization in gallium arsenide.)


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Akira Sone post-doc 2019-2021 LANL (Physics Tree)
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Larocca M, Ju N, García-Martín D, et al. (2023) Theory of overparametrization in quantum neural networks. Nature Computational Science. 3: 542-551
Caro MC, Huang HY, Ezzell N, et al. (2023) Out-of-distribution generalization for learning quantum dynamics. Nature Communications. 14: 3751
Cerezo M, Verdon G, Huang HY, et al. (2022) Challenges and opportunities in quantum machine learning. Nature Computational Science. 2: 567-576
Huerta Alderete C, Gordon MH, Sauvage F, et al. (2022) Inference-Based Quantum Sensing. Physical Review Letters. 129: 190501
Caro MC, Huang HY, Cerezo M, et al. (2022) Generalization in quantum machine learning from few training data. Nature Communications. 13: 4919
Sharma K, Cerezo M, Cincio L, et al. (2022) Trainability of Dissipative Perceptron-Based Quantum Neural Networks. Physical Review Letters. 128: 180505
Geller MR, Arrasmith A, Holmes Z, et al. (2022) Quantum simulation of operator spreading in the chaotic Ising model. Physical Review. E. 105: 035302
Sharma K, Cerezo M, Holmes Z, et al. (2022) Reformulation of the No-Free-Lunch Theorem for Entangled Datasets. Physical Review Letters. 128: 070501
Wang S, Fontana E, Cerezo M, et al. (2021) Noise-induced barren plateaus in variational quantum algorithms. Nature Communications. 12: 6961
Beckey JL, Gigena N, Coles PJ, et al. (2021) Computable and Operationally Meaningful Multipartite Entanglement Measures. Physical Review Letters. 127: 140501
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