Geometry of learning neural quantum states

24 October 2019

Papers citing "Geometry of learning neural quantum states"

12 / 12 papers shown

Title
Are queries and keys always relevant? A case study on Transformer wave functions Riccardo Rende Luciano Loris Viteritti 24 5 0 29 May 2024
A Kaczmarz-inspired approach to accelerate the optimization of neural network wavefunctions Gil Goldshlager Nilin Abrahamsen Lin Lin 37 9 0 18 Jan 2024
Exponentially Improved Efficient and Accurate Machine Learning for Quantum Many-body States with Provable Guarantees Yanming Che C. Gneiting Franco Nori 29 6 0 10 Apr 2023
Understanding and eliminating spurious modes in variational Monte Carlo using collective variables Huan Zhang R. Webber M. Lindsey Timothy C. Berkelbach J. Weare 10 2 0 11 Nov 2022
Learning topological defects formation with neural networks in a quantum phase transition Han-Qing Shi Hai-Qing Zhang 29 2 0 14 Apr 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 11 87 0 20 Dec 2021
An Introduction to Quantum Computing for Statisticians and Data Scientists A. Lopatnikova Minh-Ngoc Tran Scott A. Sisson 15 3 0 13 Dec 2021
Rayleigh-Gauss-Newton optimization with enhanced sampling for variational Monte Carlo R. Webber M. Lindsey 11 5 0 19 Jun 2021
Quantum Speedup of Natural Gradient for Variational Bayes A. Lopatnikova Minh-Ngoc Tran BDL 16 3 0 10 Jun 2021
Neural Error Mitigation of Near-Term Quantum Simulations Elizabeth R. Bennewitz Florian Hopfmueller B. Kulchytskyy Juan Carrasquilla Pooya Ronagh 11 54 0 17 May 2021
Neural network wave functions and the sign problem A. Szabó C. Castelnovo 11 69 0 11 Feb 2020
Automatic Differentiable Monte Carlo: Theory and Application Shi-Xin Zhang Z. Wan H. Yao 8 17 0 20 Nov 2019