Quantum-Classical Hybrid Learning, Quantum Simulations and Learning Quantum Many-Body Systems
FOCUS · MAR-J42 · ID: 4002693
Presentations
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Classical Neural Quantum States and the Quest for Quantum Advantage in Many-Body Simulation
ORAL · Invited
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Publication: Science 386, 296 (2024); Nat. Commun. 16, 62098 (2025); Nat. Phys. 21, 2944 (2025); Sinibaldi et al. (in preparation); Viteritti et al (in preparation)
Presenters
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Giuseppe Carleo
- Ecole Polytechnique Federale de Lausanne
- EPFL
Authors
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Giuseppe Carleo
- Ecole Polytechnique Federale de Lausanne
- EPFL
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Abstract Withdrawn
ORAL · Withdrawn
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New Insights and Algorithms for Training Neural Network Wavefunctions
ORAL
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Publication: Goldshlager, Gil, Nilin Abrahamsen, and Lin Lin. "A Kaczmarz-inspired approach to accelerate the optimization of neural network wavefunctions." Journal of Computational Physics 516 (2024): 113351.
Goldshlager, Gil, Jiang Hu, and Lin Lin. "Fast Convergence Rates for Subsampled Natural Gradient Algorithms on Quadratic Model Problems." arXiv preprint arXiv:2508.21022 (2025).Presenters
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Gil Goldshlager
- University of California, Berkeley
Authors
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Gil Goldshlager
- University of California, Berkeley
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Lin Lin
- University of California, Berkeley
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Jiang Hu
- Tsinghua University
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Optimizing Neural Network Backflow for Ab-initio Solid Calculations
ORAL
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Presenters
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An-Jun Liu
- University of Illinois at Urbana-Champaign
Authors
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An-Jun Liu
- University of Illinois at Urbana-Champaign
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Bryan K Clark
- University of Illinois at Urbana-Champaign
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Enhancing Neural Network Backflow
ORAL
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Presenters
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Kieran A Loehr
- University of Illinois at Urbana-Champaign
Authors
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Kieran A Loehr
- University of Illinois at Urbana-Champaign
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Bryan K Clark
- University of Illinois at Urbana-Champaign
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Automated discovery of Hamiltonian models for quantum spin systems
ORAL
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Presenters
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Olivia Long
- Stanford University
Authors
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Olivia Long
- Stanford University
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Jonas Landgraf
- Max Planck Institute for the Science of Light
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Florian Marquardt
- Friedrich-Alexander University Erlangen-Nuremberg
- Max Planck Institute for the Science of Light
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Ground state energy estimation with a Sparse Pauli Dynamics-enabled Variational Double Bracket Flow
ORAL · Invited
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Publication: https://arxiv.org/abs/2511.21651
Presenters
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Chinmay Shrikhande
Authors
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Chinmay Shrikhande
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Arnab Bachhar
- Indiana University Bloomington
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Aaron Rodriguez Jimenez
- Indiana University Bloomington
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Nicholas J Mayhall
- Virginia Tech
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Generating Generalised Ground-State Ansatzes from Few-Body Examples
ORAL
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Publication: https://doi.org/10.1103/5vc5-9f4d : This is the main publication surrounding this work, it has recently been accepted for publication in Physical Review Letters, the preprint is available at https://arxiv.org/abs/2503.00497v3.
https://www.nature.com/articles/s41534-023-00747-z : Our work greatly extends the framework introduced in this publication of ours.
https://arxiv.org/abs/2503.08449 : This preprint of ours is another application of the framework introduced in our PRL paper
Presenters
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Matt Lourens
- Stellenbosch University
Authors
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Matt Lourens
- Stellenbosch University
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Ilya Sinayskiy
- University of KwaZulu-Natal
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Johannes Kriel
- Stellenbosch University
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Francesco Petruccione
- University of KwaZulu-Natal
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Fourier Neural Operators for Time-Periodic Quantum Systems: Learning Floquet Hamiltonians, Observable Dynamics, and Operator Growth
ORAL
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Publication: https://arxiv.org/abs/2509.07084
Presenters
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Zihao Qi
- Cornell University
Authors
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Zihao Qi
- Cornell University
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Yang Peng
- California State University, Northridge
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Christopher Earls
- Cornell University
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Ab initio foundation models for transferable deep quantum Monte Carlo simulations of molecular wave functions.
ORAL
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Publication: 10.48550/arXiv.2506.19960
Presenters
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Zeno L Schätzle
- Freie Universität Berlin
Authors
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Zeno L Schätzle
- Freie Universität Berlin
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Adam R Foster
- Microsoft Research AI for Science
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Bernát Szabó
- Freie Universität Berlin
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Lixue Cheng
- Hong Kong University of Science and Technology
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Jonas Köhler
- CuspAI
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Gino Cassella
- Isomorphic Labs
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Nicholas Gao
- CuspAI
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Jiawei Li
- Tsinghua University
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Frank Noe
- Microsoft Research AI for Science
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Jan Hermann
- Microsoft Research AI for Science
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Abstract Withdrawn
ORAL · Withdrawn
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