Clark, Bryan K.
- Gauge Equivariant Neural Networks for 2+1D U(1) Gauge Theory Simulations in Hamiltonian Formulation
2022/11/06 by Luo, Di, Yuan, Shunyue, Stokes, James +1 · 5 citations
#Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Lattice (hep-lat) #Machine Learning (cs.LG) #Quantum Physics (quant-ph) #Strongly Correlated Electrons (cond-mat.str-el)
- Quantum Circuits For Two-Dimensional Isometric Tensor Networks
2021/08/05 by Lucas Slattery, Bryan K. Clark, Slattery, Lucas +1 · 3 citations
Computer Science · Physics and Astronomy · #Quantum Computing Algorithms and Architecture #Computational Physics and Python Applications #Quantum and electron transport phenomena
- Eigenstates hybridize on all length scales at the many-body localization transition
2020/05/27 by Benjamin Villalonga, Villalonga, Benjamin, Bryan K. Clark +1 · 2 citations
Physics and Astronomy · #Quantum many-body systems #Cold Atom Physics and Bose-Einstein Condensates #Theoretical and Computational Physics
- Approximate t-designs in generic circuit architectures
2023/10/30 by Daniel Belkin, Jonny Allen, Belkin, Daniel +15 · 4 citations
Computer Science · Engineering · Mathematics · #FOS: Physical sciences #Machine Learning and Algorithms #Mathematical Approximation and Integration #Quantum Physics (quant-ph) #Statistical Mechanics (cond-mat.stat-mech) #graph theory and CDMA systems
- Simulating 2+1D Lattice Quantum Electrodynamics at Finite Density with Neural Flow Wavefunctions
2022/12/14 by Chen, Zhuo, Luo, Di, Hu, Kaiwen +1 · 2 citations
#Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Lattice (hep-lat) #Machine Learning (cs.LG) #Quantum Physics (quant-ph) #Strongly Correlated Electrons (cond-mat.str-el)
- Pre-optimizing variational quantum eigensolvers with tensor networks
2023/10/19 by Khan, Abid, Clark, Bryan K., Tubman, Norm M. · 2 citations
#FOS: Physical sciences #Quantum Physics (quant-ph) #Strongly Correlated Electrons (cond-mat.str-el)
- Variational optimization in the AI era: Computational Graph States and Supervised Wave-function Optimization
2018/11/29 by Kochkov, Dmitrii, Clark, Bryan K. · 1 citation
#Computational Physics (physics.comp-ph) #FOS: Physical sciences #Strongly Correlated Electrons (cond-mat.str-el)
- Characterizing the many-body localization transition through correlations
2020/07/13 by Benjamin Villalonga, Villalonga, Benjamin, Bryan K. Clark +1 · 1 citation
Physics and Astronomy · Mathematics · #Quantum many-body systems #Model Reduction and Neural Networks #Tensor decomposition and applications
- Unitary Block Optimization for Variational Quantum Algorithms
2021/02/16 by Lucas Slattery, Benjamin Villalonga, Slattery, Lucas +3 · 1 citation
Computer Science · Engineering · #FOS: Physical sciences #Optical Network Technologies #Quantum Computing Algorithms and Architecture #Quantum Information and Cryptography #Quantum Physics (quant-ph) #Strongly Correlated Electrons (cond-mat.str-el)
- Spacetime Neural Network for High Dimensional Quantum Dynamics
2021/08/04 by Wang, Jiangran, Chen, Zhuo, Luo, Di +3 · 1 citation
#Computational Physics (physics.comp-ph) #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Quantum Physics (quant-ph)
- Learning ground states of quantum Hamiltonians with graph networks
2021/10/12 by Dmitrii Kochkov, Tobias Pfaff, Kochkov, Dmitrii +7 · 1 citation
Physics and Astronomy · Materials Science · #Quantum many-body systems #Machine Learning in Materials Science #Advanced Thermodynamics and Statistical Mechanics
- Efficient optimization of neural network backflow for ab-initio quantum chemistry
2025/02/26 by Liu, An-Jun, Clark, Bryan K. · 3 citations
#Chemical Physics (physics.chem-ph) #Computational Physics (physics.comp-ph) #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Physical sciences #Quantum Physics (quant-ph)
- Analysis of Many-body Localization Landscapes and Fock Space Morphology via Persistent Homology
2023/02/18 by Gregory A. Hamilton, Hamilton, Gregory A., Bryan K. Clark +1 · 1 citation
Computer Science · Physics and Astronomy · #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Physical sciences #Quantum many-body systems #Theoretical and Computational Physics #Topological and Geometric Data Analysis
- Transforming the Hybrid Cloud for Emerging AI Workloads
2024/11/20 by Deming Chen, Alaa Youssef, Chen, Deming +85 · 2 citations
Computer Science · #Artificial Intelligence (cs.AI) #Distributed #Emerging Technologies (cs.ET) #FOS: Computer and information sciences #Hardware Architecture (cs.AR) #IoT and Edge/Fog Computing #Multiagent Systems (cs.MA) #Parallel #and Cluster Computing (cs.DC)
- Simulating Neutral Atom Quantum Systems with Tensor Network States
2023/09/15 by Jonny Allen, Allen, James, Matthew Otten +5 · 1 citation
Computer Science · Physics and Astronomy · #Quantum Computing Algorithms and Architecture #Quantum many-body systems #Quantum Information and Cryptography
- Classical simulability of Clifford+T circuits with Clifford-augmented matrix product states
2024/12/23 by Liu, Zejun, Clark, Bryan K. · 2 citations
#FOS: Physical sciences #Quantum Physics (quant-ph)
- Absence of censoring inequalities in random quantum circuits
2025/02/21 by Belkin, Daniel, Allen, James, Clark, Bryan K. · 3 citations
#FOS: Physical sciences #Mathematical Physics (math-ph) #Quantum Physics (quant-ph)
- Readout-induced leakage of the fluxonium qubit
2025/01/29 by Bista, Aayam, Thibodeau, Matthew, Nie, Ke +3 · 1 citation
#FOS: Physical sciences #Quantum Physics (quant-ph)
- Learning dynamic quantum circuits for efficient state preparation
2024/10/11 by Faisal Alam, Alam, Faisal, Bryan K. Clark +1 · 1 citation
Computer Science · #FOS: Physical sciences #Neural Networks and Reservoir Computing #Quantum Computing Algorithms and Architecture #Quantum Information and Cryptography #Quantum Physics (quant-ph)