A Physics-Inspired Optimizer: Velocity Regularized Adam
Fuente:
arXiv
Saved in:
| Main Authors: | Vaidhyanathan, Pranav, Schorling, Lucas, Ares, Natalia, Osborne, Michael A. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Meta-learning characteristics and dynamics of quantum systems
by: Schorling, Lucas, et al.
Published: (2025)
by: Schorling, Lucas, et al.
Published: (2025)
MetaSym: A Symplectic Meta-learning Framework for Physical Intelligence
by: Vaidhyanathan, Pranav, et al.
Published: (2025)
by: Vaidhyanathan, Pranav, et al.
Published: (2025)
Quantum feedback control with a transformer neural network architecture
by: Vaidhyanathan, Pranav, et al.
Published: (2024)
by: Vaidhyanathan, Pranav, et al.
Published: (2024)
End-to-End Analysis of Charge Stability Diagrams with Transformers
by: Marchand, Rahul, et al.
Published: (2025)
by: Marchand, Rahul, et al.
Published: (2025)
QIXAI: A Quantum-Inspired Framework for Enhancing Classical and Quantum Model Transparency and Understanding
by: Willis, John M.
Published: (2024)
by: Willis, John M.
Published: (2024)
Multi-Excitation Projective Simulation with a Many-Body Physics Inspired Inductive Bias
by: LeMaitre, Philip A., et al.
Published: (2024)
by: LeMaitre, Philip A., et al.
Published: (2024)
MetaTT: A Global Tensor-Train Adapter for Parameter-Efficient Fine-Tuning
by: Lopez-Piqueres, Javier, et al.
Published: (2025)
by: Lopez-Piqueres, Javier, et al.
Published: (2025)
Canonical Regularisation of Wide Feature-Learning Neural Networks
by: Whittle, George, et al.
Published: (2026)
by: Whittle, George, et al.
Published: (2026)
Quantum-Inspired Stacked Integrated Concept Graph Model (QISICGM) for Diabetes Risk Prediction
by: Young II, Kenneth G.
Published: (2025)
by: Young II, Kenneth G.
Published: (2025)
Quantum-Inspired Fine-Tuning for Few-Shot AIGC Detection via Phase-Structured Reparameterization
by: Xing, Kaiyang, et al.
Published: (2026)
by: Xing, Kaiyang, et al.
Published: (2026)
A Study on Optimization Techniques for Variational Quantum Circuits in Reinforcement Learning
by: Kölle, Michael, et al.
Published: (2024)
by: Kölle, Michael, et al.
Published: (2024)
Learning Physical Systems: Symplectification via Gauge Fixing in Dirac Structures
by: Papatheodorou, Aristotelis, et al.
Published: (2025)
by: Papatheodorou, Aristotelis, et al.
Published: (2025)
Quantum Inspired Encoding Strategies for Machine Learning Models: Proposing and Evaluating Instance Level, Global Discrete, and Class Conditional Representations
by: Rath, Minati, et al.
Published: (2025)
by: Rath, Minati, et al.
Published: (2025)
Restricting to the chip architecture maintains the quantum neural network accuracy
by: Friedrich, Lucas, et al.
Published: (2022)
by: Friedrich, Lucas, et al.
Published: (2022)
Optimizing Variational Quantum Circuits Using Metaheuristic Strategies in Reinforcement Learning
by: Kölle, Michael, et al.
Published: (2024)
by: Kölle, Michael, et al.
Published: (2024)
Quantum Optimization for Training Quantum Neural Networks
by: Liao, Yidong, et al.
Published: (2021)
by: Liao, Yidong, et al.
Published: (2021)
Infeasibility Aware Large Language Models for Combinatorial Optimization
by: Wang, Yakun, et al.
Published: (2026)
by: Wang, Yakun, et al.
Published: (2026)
Comprehensive Analysis of VQC for Financial Fraud Detection: A Comparative Study of Quantum Encoding Techniques and Architectural Optimizations
by: Abbou, Fouad Mohammed, et al.
Published: (2025)
by: Abbou, Fouad Mohammed, et al.
Published: (2025)
Meta-Learning for Quantum Optimization via Quantum Sequence Model
by: Lin, Yu-Cheng, et al.
Published: (2025)
by: Lin, Yu-Cheng, et al.
Published: (2025)
Lyapunov-Aware Quantum-Inspired Reinforcement Learning for Continuous-Time Vehicle Control: A Feasibility Study
by: Kraipatthanapong, Nutkritta, et al.
Published: (2025)
by: Kraipatthanapong, Nutkritta, et al.
Published: (2025)
QuIC: Quantum-Inspired Compound Adapters for Parameter Efficient Fine-Tuning
by: Raj, Snehal, et al.
Published: (2025)
by: Raj, Snehal, et al.
Published: (2025)
CompactifAI: Extreme Compression of Large Language Models using Quantum-Inspired Tensor Networks
by: Tomut, Andrei, et al.
Published: (2024)
by: Tomut, Andrei, et al.
Published: (2024)
Quantum computing and artificial intelligence: status and perspectives
by: Acampora, Giovanni, et al.
Published: (2025)
by: Acampora, Giovanni, et al.
Published: (2025)
Deep Learning for Low-Latency, Quantum-Ready RF Sensing
by: Gokhale, Pranav, et al.
Published: (2024)
by: Gokhale, Pranav, et al.
Published: (2024)
Evaluating Parameter-Based Training Performance of Neural Networks and Variational Quantum Circuits
by: Kölle, Michael, et al.
Published: (2025)
by: Kölle, Michael, et al.
Published: (2025)
Quantum Architecture Search for Solving Quantum Machine Learning Tasks
by: Kölle, Michael, et al.
Published: (2025)
by: Kölle, Michael, et al.
Published: (2025)
Exact and Asymptotically Complete Robust Verifications of Neural Networks via Quantum Optimization
by: Li, Wenxin, et al.
Published: (2026)
by: Li, Wenxin, et al.
Published: (2026)
Investigating the Lottery Ticket Hypothesis for Variational Quantum Circuits
by: Kölle, Michael, et al.
Published: (2025)
by: Kölle, Michael, et al.
Published: (2025)
Quantum Advantage Actor-Critic for Reinforcement Learning
by: Kölle, Michael, et al.
Published: (2024)
by: Kölle, Michael, et al.
Published: (2024)
Efficient Quantum One-Class Support Vector Machines for Anomaly Detection Using Randomized Measurements and Variable Subsampling
by: Kölle, Michael, et al.
Published: (2024)
by: Kölle, Michael, et al.
Published: (2024)
Expanding the Horizon: Enabling Hybrid Quantum Transfer Learning for Long-Tailed Chest X-Ray Classification
by: Chan, Skylar, et al.
Published: (2024)
by: Chan, Skylar, et al.
Published: (2024)
Reinforcement Learning Generation of 4-Qubits Entangled States
by: Giordano, Sara, et al.
Published: (2022)
by: Giordano, Sara, et al.
Published: (2022)
Hybrid Reward-Driven Reinforcement Learning for Efficient Quantum Circuit Synthesis
by: Giordano, Sara, et al.
Published: (2025)
by: Giordano, Sara, et al.
Published: (2025)
Model-based Offline Quantum Reinforcement Learning
by: Eisenmann, Simon, et al.
Published: (2024)
by: Eisenmann, Simon, et al.
Published: (2024)
A Primer on Quantum Machine Learning
by: Chang, Su Yeon, et al.
Published: (2025)
by: Chang, Su Yeon, et al.
Published: (2025)
Learning with Density Matrices and Random Features
by: González, Fabio A., et al.
Published: (2021)
by: González, Fabio A., et al.
Published: (2021)
CTQWformer: A CTQW-based Transformer for Graph Classification
by: Li, Zhan, et al.
Published: (2026)
by: Li, Zhan, et al.
Published: (2026)
TabularQGAN: A Quantum Generative Model for Tabular Data
by: Bhardwaj, Pallavi, et al.
Published: (2025)
by: Bhardwaj, Pallavi, et al.
Published: (2025)
A Quantum Approach to Synthetic Minority Oversampling Technique (SMOTE)
by: Mohanty, Nishikanta, et al.
Published: (2024)
by: Mohanty, Nishikanta, et al.
Published: (2024)
LatentQGAN: A Hybrid QGAN with Classical Convolutional Autoencoder
by: Vieloszynski, Alexis, et al.
Published: (2024)
by: Vieloszynski, Alexis, et al.
Published: (2024)
Similar Items
-
Meta-learning characteristics and dynamics of quantum systems
by: Schorling, Lucas, et al.
Published: (2025) -
MetaSym: A Symplectic Meta-learning Framework for Physical Intelligence
by: Vaidhyanathan, Pranav, et al.
Published: (2025) -
Quantum feedback control with a transformer neural network architecture
by: Vaidhyanathan, Pranav, et al.
Published: (2024) -
End-to-End Analysis of Charge Stability Diagrams with Transformers
by: Marchand, Rahul, et al.
Published: (2025) -
QIXAI: A Quantum-Inspired Framework for Enhancing Classical and Quantum Model Transparency and Understanding
by: Willis, John M.
Published: (2024)