Imagen de Portada

Path Integral Solution for Dissipative Generative Dynamics

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autor principal:	Wang, Xidi
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning Artificial Intelligence Applied Physics Quantum Physics
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Do Quantum Neural Networks have Simplicity Bias?
por: Pointing, Jessica
Publicado: (2024)

Reconstructing Multi-Scale Physical Fields from Extremely Sparse Measurements with an Autoencoder-Diffusion Cascade
por: Yi, Letian, et al.
Publicado: (2025)

AirPhyNet: Harnessing Physics-Guided Neural Networks for Air Quality Prediction
por: Hettige, Kethmi Hirushini, et al.
Publicado: (2024)

Reinforcement learning for spin torque oscillator tasks
por: Mojsiejuk, Jakub, et al.
Publicado: (2025)

CHLU: The Causal Hamiltonian Learning Unit as a Symplectic Primitive for Deep Learning
por: Jawahar, Pratik, et al.
Publicado: (2026)

AIFL: A Global Daily Streamflow Forecasting Model Using Deterministic LSTM Pre-trained on ERA5-Land and Fine-tuned on IFS
por: Taccari, Maria Luisa, et al.
Publicado: (2026)

Automotive Crash Dynamics Modeling Accelerated with Machine Learning
por: Nabian, Mohammad Amin, et al.
Publicado: (2025)

Multi-Task Deep Learning for Surface Metrology
por: Kucharski, D., et al.
Publicado: (2025)

Inverse Design in Nanophotonics via Representation Learning
por: Marzban, Reza, et al.
Publicado: (2025)

Gemini & Physical World: Large Language Models Can Estimate the Intensity of Earthquake Shaking from Multi-Modal Social Media Posts
por: Mousavi, S. Mostafa, et al.
Publicado: (2024)

Towards Efficient and Stable Ocean State Forecasting: A Continuous-Time Koopman Approach
por: Grozavescu, Rares, et al.
Publicado: (2026)

Physics-Informed Neural Systems for the Simulation of EUV Electromagnetic Wave Diffraction from a Lithography Mask
por: Es'kin, Vasiliy A., et al.
Publicado: (2026)

TunnElQNN: A Hybrid Quantum-classical Neural Network for Efficient Learning
por: Abbas, A. H.
Publicado: (2025)

Experimental Machine Learning with Classical and Quantum Data via NMR Quantum Kernels
por: Sabarad, Vivek, et al.
Publicado: (2024)

Deep Sequence Modeling with Quantum Dynamics: Language as a Wave Function
por: Nebli, Ahmed, et al.
Publicado: (2026)

Quantum-Enhanced Generative Adversarial Networks: Comparative Analysis of Classical and Hybrid Quantum-Classical Generative Adversarial Networks
por: Goh, Kun Ming
Publicado: (2025)

Pulse Shape Discrimination Algorithms: Survey and Benchmark
por: Liu, Haoran, et al.
Publicado: (2025)

Reinforcement Learning Generation of 4-Qubits Entangled States
por: Giordano, Sara, et al.
Publicado: (2022)

Fully Analog Resonant Recurrent Neural Network via Metacircuit
por: Zhou, Zixin, et al.
Publicado: (2026)

SciQu: Accelerating Materials Properties Prediction with Automated Literature Mining for Self-Driving Laboratories
por: Babu, Anand
Publicado: (2024)

TabularQGAN: A Quantum Generative Model for Tabular Data
por: Bhardwaj, Pallavi, et al.
Publicado: (2025)

AI Methods for Permutation Circuit Synthesis Across Generic Topologies
por: Villar, Victor, et al.
Publicado: (2025)

Generative quantum machine learning via denoising diffusion probabilistic models
por: Zhang, Bingzhi, et al.
Publicado: (2023)

Generative quantum combinatorial optimization by means of a novel conditional generative quantum eigensolver
por: Minami, Shunya, et al.
Publicado: (2025)

ConQuER: Modular Architectures for Control and Bias Mitigation in IQP Quantum Generative Models
por: Zou, Xiaocheng, et al.
Publicado: (2025)

Quantum-Efficient Reinforcement Learning Solutions for Last-Mile On-Demand Delivery
por: Moosavi, Farzan, et al.
Publicado: (2025)

A comprehensive review of Quantum Machine Learning: from NISQ to Fault Tolerance
por: Wang, Yunfei, et al.
Publicado: (2024)

Measuring Accuracy and Energy-to-Solution of Quantum Fine-Tuning of Foundational AI Models
por: Knitter, Oliver, et al.
Publicado: (2026)

Quantum entanglement provides a competitive advantage in adversarial games
por: Wang, Peiyong, et al.
Publicado: (2026)

CTQWformer: A CTQW-based Transformer for Graph Classification
por: Li, Zhan, et al.
Publicado: (2026)

Q-Newton: Hybrid Quantum-Classical Scheduling for Accelerating Neural Network Training with Newton's Gradient Descent
por: Li, Pingzhi, et al.
Publicado: (2024)

A Matrix Product State Model for Simultaneous Classification and Generation
por: Mossi, Alex, et al.
Publicado: (2024)

ATP: Adaptive Threshold Pruning for Efficient Data Encoding in Quantum Neural Networks
por: Afane, Mohamed, et al.
Publicado: (2025)

Fundamental causal bounds of quantum random access memories
por: Wang, Yunfei, et al.
Publicado: (2023)

Provably Efficient Exploration in Quantum Reinforcement Learning with Logarithmic Worst-Case Regret
por: Zhong, Han, et al.
Publicado: (2023)

MG-Net: Learn to Customize QAOA with Circuit Depth Awareness
por: Qian, Yang, et al.
Publicado: (2024)

Self-Organizing Graph Reasoning Evolves into a Critical State for Continuous Discovery Through Structural-Semantic Dynamics
por: Buehler, Markus J.
Publicado: (2025)

SQUASH: A SWAP-Based Quantum Attack to Sabotage Hybrid Quantum Neural Networks
por: Kumar, Rahul, et al.
Publicado: (2025)

Redefining Neural Operators in $d+1$ Dimensions for Embedding Evolution
por: Song, Haoze, et al.
Publicado: (2025)

Symbolic Analysis of Grover Search Algorithm via Chain-of-Thought Reasoning and Quantum-Native Tokenization
por: Chen, Min, et al.
Publicado: (2025)