Bryan K. Clark

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 10

Top Topics

Single Processor

Tensor Decomposition

Top Venues

Publications

Abid Khan, Chia-Hao Lee, Pinshane Y. Huang, Bryan K. Clark
Using CycleGANs to Generate Realistic STEM Images for Machine Learning. CoRR (2023)
Matthew Thibodeau, Bryan K. Clark
Nearly-frustration-free ground state preparation. Quantum 7 (2023)
Zhuo Chen, Di Luo, Kaiwen Hu, Bryan K. Clark
Simulating 2+1D Lattice Quantum Electrodynamics at Finite Density with Neural Flow Wavefunctions. CoRR (2022)
Di Luo, Shunyue Yuan, James Stokes, Bryan K. Clark
Gauge Equivariant Neural Networks for 2+1D U(1) Gauge Theory Simulations in Hamiltonian Formulation. CoRR (2022)
Di Luo, Zhuo Chen, Kaiwen Hu, Zhizhen Zhao, Vera Mikyoung Hur, Bryan K. Clark
Gauge Invariant Autoregressive Neural Networks for Quantum Lattice Models. CoRR (2021)
Jiangran Wang, Zhuo Chen, Di Luo, Zhizhen Zhao, Vera Mikyoung Hur, Bryan K. Clark
Spacetime Neural Network for High Dimensional Quantum Dynamics. CoRR (2021)
Dmitrii Kochkov, Tobias Pfaff, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Bryan K. Clark
Learning ground states of quantum Hamiltonians with graph networks. CoRR (2021)
Ryan Levy, Edgar Solomonik, Bryan K. Clark
Distributed-memory DMRG via sparse and dense parallel tensor contractions. SC (2020)
Ryan Levy, Edgar Solomonik, Bryan K. Clark
Distributed-Memory DMRG via Sparse and Dense Parallel Tensor Contractions. CoRR (2020)
Di Luo, Giuseppe Carleo, Bryan K. Clark, James Stokes
Gauge equivariant neural networks for quantum lattice gauge theories. CoRR (2020)
Kapil Ahuja, Bryan K. Clark, Eric de Sturler, David M. Ceperley, Jeongnim Kim
Improved Scaling for Quantum Monte Carlo on Insulators. SIAM J. Sci. Comput. 33 (4) (2011)
Bryan K. Clark, David M. Ceperley
Path integral calculations of vacancies in solid Helium. Comput. Phys. Commun. 179 (1-3) (2008)