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12/09/2022
Digital quantum simulation of Schrödinger dynamics using adaptive approximations of potential functions
Digital quantum simulation (DQS) of continuous-variable quantum systems ...
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11/06/2022
Gauge Equivariant Neural Networks for 2+1D U(1) Gauge Theory Simulations in Hamiltonian Formulation
Gauge Theory plays a crucial role in many areas in science, including hi...
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11/05/2022
Toward Neural Network Simulation of Variational Quantum Algorithms
Variational quantum algorithms (VQAs) utilize a hybrid quantum-classical...
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08/11/2022
Scalable neural quantum states architecture for quantum chemistry
Variational optimization of neural-network representations of quantum st...
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07/22/2022
Quantum-inspired variational algorithms for partial differential equations: Application to financial derivative pricing
Variational quantum Monte Carlo (VMC) combined with neural-network quant...
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03/28/2022
Numerical and geometrical aspects of flow-based variational quantum Monte Carlo
This article aims to summarize recent and ongoing efforts to simulate co...
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07/15/2021
Continuous-variable neural-network quantum states and the quantum rotor model
We initiate the study of neural-network quantum state algorithms for ana...
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06/24/2021
Overcoming barriers to scalability in variational quantum Monte Carlo
The variational quantum Monte Carlo (VQMC) method received significant a...
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12/09/2020
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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11/20/2020
Meta Variational Monte Carlo
An identification is found between meta-learning and the problem of dete...
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07/31/2020
Phases of two-dimensional spinless lattice fermions with first-quantized deep neural-network quantum states
First-quantized deep neural network techniques are developed for analyzi...
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05/09/2020
Natural evolution strategies and quantum approximate optimization
A notion of quantum natural evolution strategies is introduced, which pr...
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09/04/2019
Quantum Natural Gradient
A quantum generalization of Natural Gradient Descent is presented as par...
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03/06/2019
Mean-field Analysis of Batch Normalization
Batch Normalization (BatchNorm) is an extremely useful component of mode...
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02/19/2019
Probabilistic Modeling with Matrix Product States
Inspired by the possibility that generative models based on quantum circ...
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02/16/2018
Interaction Matters: A Note on Non-asymptotic Local Convergence of Generative Adversarial Networks
Motivated by the pursuit of a systematic computational and algorithmic u...
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11/05/2017