Publikationen, an denen er mitarbeitet Yongcheng Ding (11)

2023

  1. Time-optimal control of driven oscillators by variational circuit learning

    Physical Review Research, Vol. 5, Núm. 2

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

    Entropy, Vol. 25, Núm. 2

2022

  1. Experimentally realizing efficient quantum control with reinforcement learning

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

  2. Towards Quantum Control with Advanced Quantum Computing: A Perspective

    Entropy, Vol. 24, Núm. 12

2021

  1. Breaking adiabatic quantum control with deep learning

    Physical Review A, Vol. 103, Núm. 4

  2. Implementation of a Hybrid Classical-Quantum Annealing Algorithm for Logistic Network Design

    SN Computer Science, Vol. 2, Núm. 2

  3. Neural-network-based parameter estimation for quantum detection

    Quantum Science and Technology, Vol. 6, Núm. 4

  4. Shortcuts to Adiabaticity in Digitized Adiabatic Quantum Computing

    Physical Review Applied, Vol. 15, Núm. 2

2020

  1. Retrieving Quantum Information with Active Learning

    Physical Review Letters, Vol. 124, Núm. 14

  2. Smooth bang-bang shortcuts to adiabaticity for atomic transport in a moving harmonic trap

    Physical Review A, Vol. 101, Núm. 6

2019

  1. Experimental Implementation of a Quantum Autoencoder via Quantum Adders

    Advanced Quantum Technologies, Vol. 2, Núm. 7-8