
Continuousvariable neuralnetwork quantum states and the quantum rotor model
We initiate the study of neuralnetwork quantum state algorithms for ana...
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Overcoming barriers to scalability in variational quantum Monte Carlo
The variational quantum Monte Carlo (VQMC) method received significant a...
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Gauge equivariant neural networks for quantum lattice gauge theories
Gauge symmetries play a key role in physics appearing in areas such as q...
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Meta Variational Monte Carlo
An identification is found between metalearning and the problem of dete...
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Phases of twodimensional spinless lattice fermions with firstquantized deep neuralnetwork quantum states
Firstquantized deep neural network techniques are developed for analyzi...
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Natural evolution strategies and quantum approximate optimization
A notion of quantum natural evolution strategies is introduced, which pr...
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Quantum Natural Gradient
A quantum generalization of Natural Gradient Descent is presented as par...
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Meanfield Analysis of Batch Normalization
Batch Normalization (BatchNorm) is an extremely useful component of mode...
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Probabilistic Modeling with Matrix Product States
Inspired by the possibility that generative models based on quantum circ...
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Interaction Matters: A Note on Nonasymptotic Local Convergence of Generative Adversarial Networks
Motivated by the pursuit of a systematic computational and algorithmic u...
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FisherRao Metric, Geometry, and Complexity of Neural Networks
We study the relationship between geometry and capacity measures for dee...
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James Stokes
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