Bryan K. Clark

According to our database, Bryan K. Clark authored at least 11 papers between 2008 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Nearly-frustration-free ground state preparation.

Matthew Thibodeau, Bryan K. Clark

Quantum, August, 2023

Using CycleGANs to Generate Realistic STEM Images for Machine Learning.

Abid Khan, Chia-Hao Lee, Pinshane Y. Huang, Bryan K. Clark

CoRR, 2023

2022

Simulating 2+1D Lattice Quantum Electrodynamics at Finite Density with Neural Flow Wavefunctions.

Zhuo Chen, Di Luo, Kaiwen Hu, Bryan K. Clark

CoRR, 2022

Gauge Equivariant Neural Networks for 2+1D U(1) Gauge Theory Simulations in Hamiltonian Formulation.

Di Luo, Shunyue Yuan, James Stokes, Bryan K. Clark

CoRR, 2022

2021

Learning ground states of quantum Hamiltonians with graph networks.

Dmitrii Kochkov, Tobias Pfaff, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Bryan K. Clark

CoRR, 2021

Spacetime Neural Network for High Dimensional Quantum Dynamics.

Jiangran Wang, Zhuo Chen, Di Luo, Zhizhen Zhao, Vera Mikyoung Hur, Bryan K. Clark

CoRR, 2021

Gauge Invariant Autoregressive Neural Networks for Quantum Lattice Models.

Di Luo, Zhuo Chen, Kaiwen Hu, Zhizhen Zhao, Vera Mikyoung Hur, Bryan K. Clark

CoRR, 2021

2020

Gauge equivariant neural networks for quantum lattice gauge theories.

Di Luo, Giuseppe Carleo, Bryan K. Clark, James Stokes

CoRR, 2020

Distributed-memory DMRG via sparse and dense parallel tensor contractions.

Ryan Levy, Edgar Solomonik, Bryan K. Clark

Proceedings of the International Conference for High Performance Computing, 2020

2011

Improved Scaling for Quantum Monte Carlo on Insulators.

Kapil Ahuja, Bryan K. Clark, Eric de Sturler, David M. Ceperley, Jeongnim Kim

SIAM J. Sci. Comput., 2011

2008

Path integral calculations of vacancies in solid Helium.

Bryan K. Clark, David M. Ceperley

Comput. Phys. Commun., 2008