Cover Image

Protocols for Trainable and Differentiable Quantum Generative Modelling

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kyriienko, Oleksandr, Paine, Annie E., Elfving, Vincent E.
Format:	Preprint
Published:	2022
Subjects:	Quantum Physics Disordered Systems and Neural Networks
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

What can we learn from quantum convolutional neural networks?
by: Umeano, Chukwudubem, et al.
Published: (2023)

Geometric quantum machine learning of BQP$^A$ protocols and latent graph classifiers
by: Umeano, Chukwudubem, et al.
Published: (2024)

Quantum community detection via deterministic elimination
by: Umeano, Chukwudubem, et al.
Published: (2024)

Ground state-based quantum feature maps
by: Umeano, Chukwudubem, et al.
Published: (2024)

Polaritonic Machine Learning for Graph-based Data Analysis
by: Wang, Yuan, et al.
Published: (2025)

Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning
by: Williams, Chelsea A., et al.
Published: (2024)

Photonics-Enhanced Graph Convolutional Networks
by: Wang, Yuan, et al.
Published: (2025)

Can Geometric Quantum Machine Learning Lead to Advantage in Barcode Classification?
by: Umeano, Chukwudubem, et al.
Published: (2024)

Generating Hard Ising Instances With Planted Solutions Using Post-Quantum Cryptographic Protocols
by: Mandrà, Salvatore, et al.
Published: (2023)

Spectroscopy on a single nonlinear mode recognizes quantum states
by: Verstraelen, Wouter, et al.
Published: (2025)

Noncooperative Quantum Networks
by: Shao, Yanxuan, et al.
Published: (2025)

Quantum Error Mitigation Simulates General Non-Hermitian Dynamics
by: Kuji, Hiroki, et al.
Published: (2026)

Efficient Construction of Feasible Solutions in Column Generation using Quantum Annealing
by: Takabayashi, Taisei, et al.
Published: (2025)

How Random Are Ergodic Eigenstates of the Ultrametric Random Matrices and the Quantum Sun Model?
by: Pathak, Tanay
Published: (2025)

Universal Performance Gap of Neural Quantum States Applied to the Hofstadter-Bose-Hubbard Model
by: Ledinauskas, Eimantas, et al.
Published: (2024)

Characterization of Thermalization Behaviour in a Generalized Aubry-André Model
by: Mal, S., et al.
Published: (2026)

Solving Classical and Quantum Spin Glasses with Deep Boltzmann Quantum States
by: Leone, Luca, et al.
Published: (2026)

Observation and Modulation of the Quantum Mpemba Effect on a Superconducting Quantum Processor
by: Xu, Yueshan, et al.
Published: (2025)

Quantum logarithmic multifractality
by: Chen, Weitao, et al.
Published: (2023)

Attention-Like Hebbian Learning from Quantum Probability Flow and Quantum-Annealer Tests
by: Ohzeki, Masayuki
Published: (2026)

Quantum annealing and condensed matter physics
by: Kendon, Viv, et al.
Published: (2026)

Quantum Reinforcement Learning: the Maze problem
by: Pozza, Nicola Dalla, et al.
Published: (2021)

Deep Unfolded Local Quantum Annealing
by: Arai, Shunta, et al.
Published: (2024)

Quantum sequel of neural network training
by: Zhang, Hao, et al.
Published: (2025)

Quantum optical reset with classical memory
by: Kiktenko, Evgeniy O., et al.
Published: (2025)

Correlated volumes for extended wavefunctions on a random-regular graph
by: Pino, Manuel, et al.
Published: (2023)

Ground States of the Mean-Field Spin Glass with 3-Spin Couplings
by: Boettcher, Stefan, et al.
Published: (2025)

Practical Few-Atom Quantum Reservoir Computing
by: Zhu, Chuanzhou, et al.
Published: (2024)

Quantum resources of quantum and classical variational methods
by: Spriggs, Thomas, et al.
Published: (2024)

On the Potential of Microtubules for Scalable Quantum Computation
by: Mavromatos, Nick E., et al.
Published: (2025)

Slow oscillating dynamics of a two-level system subject to a fast telegraph noise: beyond the NIBA approximation
by: Mkhitaryan, V. V., et al.
Published: (2020)

Distributed Quantum Computing via Adaptive Circuit Knitting
by: Johnson, K. Grace, et al.
Published: (2026)

Quantum Pontus--Mpemba Effect in Dissipative Quasiperiodic Chains
by: Song, Yefeng, et al.
Published: (2026)

Extreme Quantum Cognition Machines for Deliberative Decision Making
by: Romeo, Francesco, et al.
Published: (2026)

Dissipative Quantum Hopfield Network: A numerical analysis
by: Torres, Joaquín J., et al.
Published: (2023)

Quantum Light Detection with Enhanced Photonic Neural Network
by: Świerczewski, Stanisław, et al.
Published: (2026)

Minimalistic and Scalable Quantum Reservoir Computing Enhanced with Feedback
by: Zhu, Chuanzhou, et al.
Published: (2024)

Quantum complexity phase transition in fermionic quantum circuits
by: Xia, Wei, et al.
Published: (2025)

Neural Projected Quantum Dynamics: a systematic study
by: Gravina, Luca, et al.
Published: (2024)

Quantum and classical processing with photonic quantum machine learning
by: Carreño, J. C. López, et al.
Published: (2026)