278 citations · 1.5k across the 25 of their papers we have counts for
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Model-Independent Learning of Quantum Phases of Matter with Quantum Convolutional Neural Networks
Yu-Jie Liu, Adam Smith, Michael Knap +1
Quantum convolutional neural networks (QCNNs) have been introduced as classifiers for gapped quantum phases of matter. Here, we propose a model-independent protocol for training QC…
Time Evolution of Uniform Sequential Circuits
Nikita Astrakhantsev, Sheng-Hsuan Lin, Frank Pollmann +1
Simulating time evolution of generic quantum many-body systems using classical numerical approaches has an exponentially growing cost either with evolution time or with the system…
Numerical simulation of non-abelian anyons
Nico Kirchner, Darragh Millar, Babatunde M. Ayeni +3
Two-dimensional systems such as quantum spin liquids or fractional quantum Hall systems exhibit anyonic excitations that possess more general statistics than bosons or fermions. Th…
Data compression for quantum machine learning
Rohit Dilip, Yu-Jie Liu, Adam Smith +1
The advent of noisy-intermediate scale quantum computers has introduced the exciting possibility of achieving quantum speedups in machine learning tasks. These devices, however, ar…
Finite-depth scaling of infinite quantum circuits for quantum critical points
Bernhard Jobst, Adam Smith, Frank Pollmann
The scaling of the entanglement entropy at a quantum critical point allows us to extract universal properties of the state, e.g., the central charge of a conformal field theory. Wi…