Deep autoregressive models for the efficient variational simulation of many-body quantum systems

11 February 2019

Papers citing "Deep autoregressive models for the efficient variational simulation of many-body quantum systems"

49 / 49 papers shown

Title
Variational decision diagrams for quantum-inspired machine learning applications Santiago Acevedo-Mancera Vladimir Vargas-Calderón Herbert Vinck-Posada 62 0 0 06 Feb 2025
Retentive Neural Quantum States: Efficient Ansätze for Ab Initio Quantum Chemistry Oliver Knitter Dan Zhao J. Stokes M. Ganahl Stefan Leichenauer S. Veerapaneni 37 1 0 06 Nov 2024
Approximately-symmetric neural networks for quantum spin liquids Dominik S. Kufel Jack Kemp Simon M. Linsel C. Laumann Norman Y. Yao 42 3 0 27 May 2024
Transferable Neural Wavefunctions for Solids Leon Gerard Michael Scherbela H. Sutterud Matthew Foulkes Philipp Grohs 44 3 0 13 May 2024
Fast Quantum Process Tomography via Riemannian Gradient Descent Daniel Volya Andrey Nikitin Prabhat Mishra 33 2 0 29 Apr 2024
Pairing-based graph neural network for simulating quantum materials Di Luo David D. Dai Liang Fu 49 5 0 03 Nov 2023
Empirical Sample Complexity of Neural Network Mixed State Reconstruction Haimeng Zhao Giuseppe Carleo F. Vicentini 36 11 0 04 Jul 2023
NNQS-Transformer: an Efficient and Scalable Neural Network Quantum States Approach for Ab initio Quantum Chemistry Yangjun Wu Chu Guo Yi Fan P. Zhou Honghui Shang GNN 30 15 0 29 Jun 2023
Exponentially Improved Efficient and Accurate Machine Learning for Quantum Many-body States with Provable Guarantees Yanming Che C. Gneiting Franco Nori 32 1 0 10 Apr 2023
ANTN: Bridging Autoregressive Neural Networks and Tensor Networks for Quantum Many-Body Simulation Zhuo Chen Laker Newhouse E. Chen Di Luo Marin Soljacic 26 10 0 04 Apr 2023
Artificial intelligence for artificial materials: moiré atom Di Luo Aidan P. Reddy T. Devakul L. Fu 29 3 0 14 Mar 2023
Q-Flow: Generative Modeling for Differential Equations of Open Quantum Dynamics with Normalizing Flows Owen Dugan Peter Y. Lu Rumen Dangovski Di Luo M. Soljavcić AI4CE 19 4 0 23 Feb 2023
The autoregressive neural network architecture of the Boltzmann distribution of pairwise interacting spins systems I. Biazzo AI4CE 34 7 0 16 Feb 2023
Towards Neural Variational Monte Carlo That Scales Linearly with System Size Or Sharir G. Chan Anima Anandkumar 21 4 0 21 Dec 2022
Simulating 2+1D Lattice Quantum Electrodynamics at Finite Density with Neural Flow Wavefunctions Zhuo Chen Di Luo Kaiwen Hu B. Clark 27 14 0 14 Dec 2022
Waveflow: Enforcing boundary conditions in smooth normalizing flows with application to fermionic wave functions Luca Thiede Chong Sun A. Aspuru‐Guzik 36 1 0 27 Nov 2022
Toward Neural Network Simulation of Variational Quantum Algorithms Oliver Knitter J. Stokes S. Veerapaneni 14 2 0 05 Nov 2022
Neural network quantum state with proximal optimization: a ground-state searching scheme based on variational Monte Carlo Feng Chen Ming Xue 26 0 0 29 Oct 2022
Learning to predict arbitrary quantum processes Hsin-Yuan Huang Sitan Chen J. Preskill 60 65 0 26 Oct 2022
Neural-network solutions to stochastic reaction networks Ying Tang Jiayu Weng Pan Zhang BDL 38 22 0 29 Sep 2022
Ab-initio quantum chemistry with neural-network wavefunctions J. Hermann J. Spencer Kenny Choo Antonio Mezzacapo W. Foulkes David Pfau Giuseppe Carleo Frank Noé AI4CE 37 73 0 26 Aug 2022
Scalable neural quantum states architecture for quantum chemistry Tianchen Zhao J. Stokes S. Veerapaneni 18 30 0 11 Aug 2022
Supplementing Recurrent Neural Network Wave Functions with Symmetry and Annealing to Improve Accuracy Mohamed Hibat-Allah R. Melko Juan Carrasquilla 11 18 0 28 Jul 2022
Lattice Convolutional Networks for Learning Ground States of Quantum Many-Body Systems Cong Fu Xuan Zhang Huixin Zhang Hongyi Ling Shenglong Xu Shuiwang Ji 19 12 0 15 Jun 2022
Numerical and geometrical aspects of flow-based variational quantum Monte Carlo J. Stokes Brian Chen S. Veerapaneni 25 6 0 28 Mar 2022
NetKet 3: Machine Learning Toolbox for Many-Body Quantum Systems F. Vicentini Damian Hofmann A. Szabó Dian Wu Christopher Roth ... Gabriel Pescia J. Nys Vladimir Vargas-Calderón N. Astrakhantsev Giuseppe Carleo 19 87 0 20 Dec 2021
A Bayesian generative neural network framework for epidemic inference problems I. Biazzo Alfredo Braunstein Luca DallÁsta Fabio Mazza 24 16 0 05 Nov 2021
Learning ground states of quantum Hamiltonians with graph networks Dmitrii Kochkov Tobias Pfaff Alvaro Sanchez-Gonzalez Peter W. Battaglia B. Clark 44 26 0 12 Oct 2021
The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design Yoav Levine Noam Wies Daniel Jannai D. Navon Yedid Hoshen Amnon Shashua AI4CE 35 36 0 09 Oct 2021
Autoregressive neural-network wavefunctions for ab initio quantum chemistry Thomas D. Barrett A. Malyshev A. Lvovsky 41 69 0 26 Sep 2021
Spacetime Neural Network for High Dimensional Quantum Dynamics Jiangran Wang Zhuo Chen Di Luo Zhizhen Zhao V. M. Hur B. Clark 19 14 0 04 Aug 2021
Overcoming barriers to scalability in variational quantum Monte Carlo Tianchen Zhao Saibal De Brian Chen J. Stokes S. Veerapaneni BDL DRL 11 11 0 24 Jun 2021
Tensor networks for unsupervised machine learning Jing Liu Sujie Li Jiang Zhang Pan Zhang SSL 22 25 0 24 Jun 2021
Rayleigh-Gauss-Newton optimization with enhanced sampling for variational Monte Carlo R. Webber M. Lindsey 19 6 0 19 Jun 2021
Nonequilibrium thermodynamics of self-supervised learning D. S. P. Salazar 16 2 0 16 Jun 2021
Neural Error Mitigation of Near-Term Quantum Simulations Elizabeth R. Bennewitz Florian Hopfmueller B. Kulchytskyy Juan Carrasquilla Pooya Ronagh 19 54 0 17 May 2021
Which transformer architecture fits my data? A vocabulary bottleneck in self-attention Noam Wies Yoav Levine Daniel Jannai Amnon Shashua 40 20 0 09 May 2021
Scaling of neural-network quantum states for time evolution Sheng-Hsuan Lin F. Pollmann 21 25 0 21 Apr 2021
Neural tensor contractions and the expressive power of deep neural quantum states Or Sharir Amnon Shashua Giuseppe Carleo 6 59 0 18 Mar 2021
Variational Neural Annealing Mohamed Hibat-Allah E. Inack R. Wiersema R. Melko Juan Carrasquilla DRL 16 80 0 25 Jan 2021
Gauge Invariant and Anyonic Symmetric Transformer and RNN Quantum States for Quantum Lattice Models Di Luo Zhuo Chen Kaiwen Hu Zhizhen Zhao V. M. Hur B. Clark AI4CE 27 28 0 18 Jan 2021
Information-theoretic bounds on quantum advantage in machine learning Hsin-Yuan Huang R. Kueng J. Preskill 74 214 0 07 Jan 2021
Noise-Robust End-to-End Quantum Control using Deep Autoregressive Policy Networks Jiahao Yao Paul Köttering Hans Gundlach Lin Lin Marin Bukov 26 14 0 12 Dec 2020
Reinforcement Learning for Many-Body Ground-State Preparation Inspired by Counterdiabatic Driving Jiahao Yao Lin Lin Marin Bukov BDL AI4CE 26 61 0 07 Oct 2020
Variable Skipping for Autoregressive Range Density Estimation Eric Liang Zongheng Yang Ion Stoica Pieter Abbeel Yan Duan Xi Chen 22 4 0 10 Jul 2020
Discovering Symmetry Invariants and Conserved Quantities by Interpreting Siamese Neural Networks S. J. Wetzel R. Melko Joseph Scott Maysum Panju Vijay Ganesh 17 64 0 09 Mar 2020
Neural network wave functions and the sign problem A. Szabó C. Castelnovo 21 69 0 11 Feb 2020
Equivariant Flows: sampling configurations for multi-body systems with symmetric energies Jonas Köhler Leon Klein Frank Noé 9 90 0 02 Oct 2019
Experimental quantum homodyne tomography via machine learning E. Tiunov V. Tiunova Alexander Ulanov A. Lvovsky A. Fedorov 14 56 0 15 Jul 2019