250 citations · 377 across the 6 of their papers we have counts for
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quant-ph2020
Efficient Quantum State Sample Tomography with Basis-dependent Neural-networks
Alistair W. R. Smith, Johnnie Gray, M. S. Kim
We use a meta-learning neural-network approach to analyse data from a measured quantum state. Once our neural network has been trained it can be used to efficiently sample measurem…
quant-ph2020
Quantum Delocalised-Interactions
A. J. Paige, Hyukjoon Kwon, Selwyn Simsek +3
Classical mechanics obeys the intuitive logic that a physical event happens at a definite spatial point. Entanglement however, breaks this logic by enabling interactions without a…
quant-ph2020
Hyper-optimized tensor network contraction
Johnnie Gray, Stefanos Kourtis
Tensor networks represent the state-of-the-art in computational methods across many disciplines, including the classical simulation of quantum many-body systems and quantum circuit…