Publicaciones en colaboración con investigadores/as de Shanghai University (13)

2024

  1. Robust two-qubit gate with reinforcement learning and dropout

    Physical Review A, Vol. 110, Núm. 3

2023

  1. Active Learning in Physics: From 101, to Progress, and Perspective

    Advanced Quantum Technologies

  2. Closed-loop control of a noisy qubit with reinforcement learning

    Machine Learning: Science and Technology, Vol. 4, Núm. 2

  3. Toward Prediction of Financial Crashes with a D-Wave Quantum Annealer

    Entropy, Vol. 25, Núm. 2

2022

  1. Active learning for the optimal design of multinomial classification in physics

    Physical Review Research, Vol. 4, Núm. 1

  2. An Approach to Interfacing the Brain with Quantum Computers: Practical Steps and Caveats

    International Journal of Unconventional Computing, Vol. 17, Núm. 3, pp. 159-171

  3. Experimentally realizing efficient quantum control with reinforcement learning

    Science China: Physics, Mechanics and Astronomy, Vol. 65, Núm. 5

  4. Quantum Brain Networks: A Perspective

    Electronics (Switzerland), Vol. 11, Núm. 10

  5. Quantum pattern recognition in photonic circuits

    Quantum Science and Technology, Vol. 7, Núm. 1

2021

  1. Breaking adiabatic quantum control with deep learning

    Physical Review A, Vol. 103, Núm. 4

  2. Toward pricing financial derivatives with an IBM quantum computer

    Physical Review Research, Vol. 3, Núm. 1

2020

  1. Retrieving Quantum Information with Active Learning

    Physical Review Letters, Vol. 124, Núm. 14

2019

  1. Quantum autoencoders via quantum adders with genetic algorithms

    Quantum Science and Technology, Vol. 4, Núm. 1