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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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11/22/2022
An Incremental Tensor Train Decomposition Algorithm
We present a new algorithm for incrementally updating the tensor-train d...
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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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10/15/2022
Tensor-Train Compression of Discrete Element Method Simulation Data
We propose a framework for discrete scientific data compression based on...
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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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03/11/2022
A fast, high-order scheme for evaluating volume potentials on complex 2D geometries via area-to-line integral conversion and domain mappings
This article presents a new high-order accurate algorithm for finding a ...
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08/16/2021
A fast direct solver for integral equations on locally refined boundary discretizations and its application to multiphase flow simulations
In transient simulations of particulate Stokes flow, to accurately captu...
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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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05/26/2021
High-order close evaluation of Laplace layer potentials: A differential geometric approach
This paper presents a new approach for solving the close evaluation prob...
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04/29/2021
Fast and accurate solvers for simulating Janus particle suspensions in Stokes flow
We present a novel computational framework for simulating suspensions of...
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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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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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03/07/2020
An Active Learning Framework for Constructing High-fidelity Mobility Maps
A mobility map, which provides maximum achievable speed on a given terra...
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10/02/2019
Fast integral equation methods for linear and semilinear heat equations in moving domains
We present a family of integral equation-based solvers for the linear or...
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09/14/2019
A scalable computational platform for particulate Stokes suspensions
We describe a computational framework for simulating suspensions of rigi...
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08/30/2019