Bryan K. Clark

13 papers A 1Journal 12
YearRankTypeTitle / Venue / Authors
2024 J jnl
Transforming the Hybrid Cloud for Emerging AI Workloads.
CoRR
Deming Chen, Alaa Youssef, Ruchi Pendse, André Schleife, Bryan K. Clark, Hendrik F. Hamann, Jingrui He, Teodoro Laino, Lav R. Varshney, Yuxiong Wang, Avirup Sil, Reyhaneh Jabbarvand, Tianyin Xu, Volodymyr V. Kindratenko, Carlos H. A. Costa, Sarita V. Adve, Charith Mendis, Minjia Zhang, Santiago Núñez-Corrales, Raghu K. Ganti, Mudhakar Srivatsa, Nam Sung Kim, Josep Torrellas, Jian Huang, Seetharami R. Seelam, Klara Nahrstedt, Tarek F. Abdelzaher, Tamar Eilam, Huimin Zhao, Matteo Manica, Ravishankar K. Iyer, Martin Hirzel, Vikram S. Adve, Darko Marinov, Hubertus Franke, Hanghang Tong, Elizabeth A. Ainsworth, Han Zhao, Deepak Vasisht, Minh Do, Fábio Oliveira, Giovanni Pacifici, Ruchir Puri, Priya Nagpurkar
2023 J jnl
Nearly-frustration-free ground state preparation.
Quantum
Matthew Thibodeau, Bryan K. Clark
2023 J jnl
Using CycleGANs to Generate Realistic STEM Images for Machine Learning.
CoRR
Abid Khan, Chia-Hao Lee, Pinshane Y. Huang, Bryan K. Clark
2022 J jnl
Gauge Equivariant Neural Networks for 2+1D U(1) Gauge Theory Simulations in Hamiltonian Formulation.
CoRR
Di Luo, Shunyue Yuan, James Stokes, Bryan K. Clark
2022 J jnl
Simulating 2+1D Lattice Quantum Electrodynamics at Finite Density with Neural Flow Wavefunctions.
CoRR
Zhuo Chen, Di Luo, Kaiwen Hu, Bryan K. Clark
2021 J jnl
Gauge Invariant Autoregressive Neural Networks for Quantum Lattice Models.
CoRR
Di Luo, Zhuo Chen, Kaiwen Hu, Zhizhen Zhao, Vera Mikyoung Hur, Bryan K. Clark
2021 J jnl
Learning ground states of quantum Hamiltonians with graph networks.
CoRR
Dmitrii Kochkov, Tobias Pfaff, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Bryan K. Clark
2021 J jnl
Spacetime Neural Network for High Dimensional Quantum Dynamics.
CoRR
Jiangran Wang, Zhuo Chen, Di Luo, Zhizhen Zhao, Vera Mikyoung Hur, Bryan K. Clark
2020 J jnl
Distributed-Memory DMRG via Sparse and Dense Parallel Tensor Contractions.
CoRR
Ryan Levy, Edgar Solomonik, Bryan K. Clark
2020 A conf
Distributed-memory DMRG via sparse and dense parallel tensor contractions.
SC
Ryan Levy, Edgar Solomonik, Bryan K. Clark
2020 J jnl
Gauge equivariant neural networks for quantum lattice gauge theories.
CoRR
Di Luo, Giuseppe Carleo, Bryan K. Clark, James Stokes
2011 J jnl
Improved Scaling for Quantum Monte Carlo on Insulators.
SIAM J. Sci. Comput.
Kapil Ahuja, Bryan K. Clark, Eric de Sturler, David M. Ceperley, Jeongnim Kim
2008 J jnl
Path integral calculations of vacancies in solid Helium.
Comput. Phys. Commun.
Bryan K. Clark, David M. Ceperley