Natural gradient and parameter estimation for quantum Boltzmann machines
Fuente:
arXiv
Saved in:
| Main Authors: | Patel, Dhrumil, Wilde, Mark M. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Quantum Boltzmann machine learning of ground-state energies
by: Patel, Dhrumil, et al.
Published: (2024)
by: Patel, Dhrumil, et al.
Published: (2024)
Quantum thermodynamics and semi-definite optimization
by: Liu, Nana, et al.
Published: (2025)
by: Liu, Nana, et al.
Published: (2025)
Fundamentals of quantum Boltzmann machine learning with visible and hidden units
by: Wilde, Mark M.
Published: (2025)
by: Wilde, Mark M.
Published: (2025)
Generative modeling using evolved quantum Boltzmann machines
by: Wilde, Mark M.
Published: (2025)
by: Wilde, Mark M.
Published: (2025)
Evolved Quantum Boltzmann Machines
by: Minervini, Michele, et al.
Published: (2025)
by: Minervini, Michele, et al.
Published: (2025)
Constrained free energy minimization for the design of thermal states and stabilizer thermodynamic systems
by: Minervini, Michele, et al.
Published: (2025)
by: Minervini, Michele, et al.
Published: (2025)
Quantum natural gradient with thermal-state initialization
by: Minervini, Michele, et al.
Published: (2025)
by: Minervini, Michele, et al.
Published: (2025)
Quantum Neural Estimation of Entropies
by: Goldfeld, Ziv, et al.
Published: (2023)
by: Goldfeld, Ziv, et al.
Published: (2023)
Fermi-Dirac thermal measurements: A framework for quantum hypothesis testing and semidefinite optimization
by: Liu, Nana, et al.
Published: (2026)
by: Liu, Nana, et al.
Published: (2026)
Fermi-Dirac machines as quantizations of neurons
by: He, Alexander, et al.
Published: (2026)
by: He, Alexander, et al.
Published: (2026)
Statistical Mechanics of Dynamical System Identification
by: Klishin, Andrei A., et al.
Published: (2024)
by: Klishin, Andrei A., et al.
Published: (2024)
Two-dimensional Parallel Tempering for Constrained Optimization
by: Delacour, Corentin, et al.
Published: (2025)
by: Delacour, Corentin, et al.
Published: (2025)
Quantum Fisher information matrices from Rényi relative entropies
by: Wilde, Mark M.
Published: (2025)
by: Wilde, Mark M.
Published: (2025)
Community detection by simulated bifurcation
by: Li, Wei, et al.
Published: (2024)
by: Li, Wei, et al.
Published: (2024)
Data-Induced Interactions of Sparse Sensors Using Statistical Physics
by: Klishin, Andrei A., et al.
Published: (2023)
by: Klishin, Andrei A., et al.
Published: (2023)
Multi-Mode Quantum Annealing for Generative Representation Learning with Boltzmann Priors
by: Kim, Gilhan, et al.
Published: (2026)
by: Kim, Gilhan, et al.
Published: (2026)
Solving Conic Programs over Sparse Graphs using a Variational Quantum Approach: The Case of the Optimal Power Flow
by: Le, Thinh Viet, et al.
Published: (2025)
by: Le, Thinh Viet, et al.
Published: (2025)
Meta-learning of Gibbs states for many-body Hamiltonians with applications to Quantum Boltzmann Machines
by: Bhat, Ruchira V, et al.
Published: (2025)
by: Bhat, Ruchira V, et al.
Published: (2025)
Analytic Bridge Diffusions for Controlled Path Generation
by: Chertkov, Michael
Published: (2026)
by: Chertkov, Michael
Published: (2026)
Increasing the Hardness of Posiform Planting Using Random QUBOs for Programmable Quantum Annealer Benchmarking
by: Pelofske, Elijah, et al.
Published: (2024)
by: Pelofske, Elijah, et al.
Published: (2024)
Discovering quantum phenomena with Interpretable Machine Learning
by: de Schoulepnikoff, Paulin, et al.
Published: (2026)
by: de Schoulepnikoff, Paulin, et al.
Published: (2026)
Quantum-data-driven dynamical transition in quantum learning
by: Zhang, Bingzhi, et al.
Published: (2024)
by: Zhang, Bingzhi, et al.
Published: (2024)
On the numerical integration of the Fokker-Planck equation driven by a mechanical force and the Bismut-Elworthy-Li formula
by: Sanders, Julia, et al.
Published: (2024)
by: Sanders, Julia, et al.
Published: (2024)
Minimal work protocols for inertial particles in non-harmonic traps
by: Sanders, Julia, et al.
Published: (2024)
by: Sanders, Julia, et al.
Published: (2024)
Optimal Control of Underdamped Systems: An Analytic Approach
by: Sanders, Julia, et al.
Published: (2024)
by: Sanders, Julia, et al.
Published: (2024)
Consensus-based Distributed Optimization for Multi-agent Systems over Multiplex Networks
by: Rodríguez-Camargo, C. D., et al.
Published: (2023)
by: Rodríguez-Camargo, C. D., et al.
Published: (2023)
Grand-Canonical Optimal Transport
by: Di Marino, Simone, et al.
Published: (2022)
by: Di Marino, Simone, et al.
Published: (2022)
Dynamical transition in controllable quantum neural networks with large depth
by: Zhang, Bingzhi, et al.
Published: (2023)
by: Zhang, Bingzhi, et al.
Published: (2023)
SMT-AD: a scalable quantum-inspired anomaly detection approach
by: Sornsaeng, Apimuk, et al.
Published: (2026)
by: Sornsaeng, Apimuk, et al.
Published: (2026)
Interpretable representation learning of quantum data enabled by probabilistic variational autoencoders
by: de Schoulepnikoff, Paulin, et al.
Published: (2025)
by: de Schoulepnikoff, Paulin, et al.
Published: (2025)
Learning quantum many-body data locally: A provably scalable framework
by: Chinzei, Koki, et al.
Published: (2025)
by: Chinzei, Koki, et al.
Published: (2025)
Filtering out mislabeled training instances using black-box optimization and quantum annealing
by: Otsuka, Makoto, et al.
Published: (2025)
by: Otsuka, Makoto, et al.
Published: (2025)
All you need is spin: SU(2) equivariant variational quantum circuits based on spin networks
by: East, Richard D. P., et al.
Published: (2023)
by: East, Richard D. P., et al.
Published: (2023)
Capturing reduced-order quantum many-body dynamics out of equilibrium via neural ordinary differential equations
by: Egenlauf, Patrick, et al.
Published: (2025)
by: Egenlauf, Patrick, et al.
Published: (2025)
Annealing-Assisted Column Generation for Inequality-Constrained Combinatorial Optimization Problems
by: Kanai, Hiroshi, et al.
Published: (2024)
by: Kanai, Hiroshi, et al.
Published: (2024)
Large Deviations in Safety-Critical Systems with Probabilistic Initial Conditions
by: Gomez, Aitor R., et al.
Published: (2024)
by: Gomez, Aitor R., et al.
Published: (2024)
Dynamic Pedestrian Traffic Assignment with Link Transmission Model for Bidirectional Sidewalk Networks
by: Lilasathapornkit, Tanapon, et al.
Published: (2024)
by: Lilasathapornkit, Tanapon, et al.
Published: (2024)
Effect of constraint relaxation on dynamic critical phenomena in minimum vertex cover problem
by: Dote, Aki, et al.
Published: (2024)
by: Dote, Aki, et al.
Published: (2024)
Quantum natural gradient without monotonicity
by: Sasaki, Toi, et al.
Published: (2024)
by: Sasaki, Toi, et al.
Published: (2024)
Boltzmann sampling with quantum annealers via fast Stein correction
by: Shibukawa, Ryosuke, et al.
Published: (2023)
by: Shibukawa, Ryosuke, et al.
Published: (2023)
Similar Items
-
Quantum Boltzmann machine learning of ground-state energies
by: Patel, Dhrumil, et al.
Published: (2024) -
Quantum thermodynamics and semi-definite optimization
by: Liu, Nana, et al.
Published: (2025) -
Fundamentals of quantum Boltzmann machine learning with visible and hidden units
by: Wilde, Mark M.
Published: (2025) -
Generative modeling using evolved quantum Boltzmann machines
by: Wilde, Mark M.
Published: (2025) -
Evolved Quantum Boltzmann Machines
by: Minervini, Michele, et al.
Published: (2025)