40 citations · 90 across the 4 of their papers we have counts for
4 papers
Quantum Uncertainty Principles for Measurements with Interventions
Yunlong Xiao, Yuxiang Yang, Ximing Wang +2
Heisenberg's uncertainty principle implies fundamental constraints on what properties of a quantum system can we simultaneously learn. However, it typically assumes that we probe t…
Recent Advances for Quantum Neural Networks in Generative Learning
Jinkai Tian, Xiaoyu Sun, Yuxuan Du +11
Quantum computers are next-generation devices that hold promise to perform calculations beyond the reach of classical computers. A leading method towards achieving this goal is thr…
Optimal stochastic modelling with unitary quantum dynamics
Qing Liu, Thomas. J. Elliott, Felix. C. Binder +2
Identifying and extracting the past information relevant to the future behaviour of stochastic processes is a central task in the quantitative sciences. Quantum models offer a prom…
Unbounded memory advantage in stochastic simulation using quantum mechanics
Andrew J. P. Garner, Qing Liu, Jayne Thompson +2
Simulating the stochastic evolution of real quantities on a digital computer requires a trade-off between the precision to which these quantities are approximated, and the memory r…