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ORCIDBryan K. Clark
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2020 – today
- 2024
[i9]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 Nuñez-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:
Transforming the Hybrid Cloud for Emerging AI Workloads. CoRR abs/2411.13239 (2024)- 2023
- [j3]Matthew Thibodeau, Bryan K. Clark:
Nearly-frustration-free ground state preparation. Quantum 7: 1084 (2023) - [i8]Abid Khan, Chia-Hao Lee, Pinshane Y. Huang, Bryan K. Clark:
Using CycleGANs to Generate Realistic STEM Images for Machine Learning. CoRR abs/2301.07743 (2023) - 2022
- [i7]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 abs/2211.03198 (2022) - [i6]Zhuo Chen, Di Luo, Kaiwen Hu, Bryan K. Clark:
Simulating 2+1D Lattice Quantum Electrodynamics at Finite Density with Neural Flow Wavefunctions. CoRR abs/2212.06835 (2022) - 2021
- [i5]Di Luo, Zhuo Chen, Kaiwen Hu, Zhizhen Zhao, Vera Mikyoung Hur, Bryan K. Clark:
Gauge Invariant Autoregressive Neural Networks for Quantum Lattice Models. CoRR abs/2101.07243 (2021) - [i4]Jiangran Wang, Zhuo Chen, Di Luo, Zhizhen Zhao, Vera Mikyoung Hur, Bryan K. Clark:
Spacetime Neural Network for High Dimensional Quantum Dynamics. CoRR abs/2108.02200 (2021) - [i3]Dmitrii Kochkov, Tobias Pfaff, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Bryan K. Clark:
Learning ground states of quantum Hamiltonians with graph networks. CoRR abs/2110.06390 (2021) - 2020
- [c1]Ryan Levy, Edgar Solomonik, Bryan K. Clark:
Distributed-memory DMRG via sparse and dense parallel tensor contractions. SC 2020: 24 - [i2]Ryan Levy, Edgar Solomonik, Bryan K. Clark:
Distributed-Memory DMRG via Sparse and Dense Parallel Tensor Contractions. CoRR abs/2007.05540 (2020) - [i1]Di Luo, Giuseppe Carleo, Bryan K. Clark, James Stokes:
Gauge equivariant neural networks for quantum lattice gauge theories. CoRR abs/2012.05232 (2020)
2010 – 2019
- 2011
- [j2]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): 1837-1859 (2011)
2000 – 2009
- 2008
- [j1]Bryan K. Clark, David M. Ceperley:
Path integral calculations of vacancies in solid Helium. Comput. Phys. Commun. 179(1-3): 82-88 (2008)
Coauthor Index
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