Deep Stochastic Mechanics
Fuente:
arXiv
Saved in:
| Main Authors: | Orlova, Elena, Ustimenko, Aleksei, Jiang, Ruoxi, Lu, Peter Y., Willett, Rebecca |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Training neural operators to preserve invariant measures of chaotic attractors
by: Jiang, Ruoxi, et al.
Published: (2023)
by: Jiang, Ruoxi, et al.
Published: (2023)
Embed and Emulate: Contrastive representations for simulation-based inference
by: Jiang, Ruoxi, et al.
Published: (2024)
by: Jiang, Ruoxi, et al.
Published: (2024)
Beyond Ensemble Averages: Leveraging Climate Model Ensembles for Subseasonal Forecasting
by: Orlova, Elena, et al.
Published: (2022)
by: Orlova, Elena, et al.
Published: (2022)
$Δ\text{-}{\rm OPE}$: Off-Policy Estimation with Pairs of Policies
by: Jeunen, Olivier, et al.
Published: (2024)
by: Jeunen, Olivier, et al.
Published: (2024)
Ito Diffusion Approximation of Universal Ito Chains for Sampling, Optimization and Boosting
by: Ustimenko, Aleksei, et al.
Published: (2023)
by: Ustimenko, Aleksei, et al.
Published: (2023)
Learning Metrics that Maximise Power for Accelerated A/B-Tests
by: Jeunen, Olivier, et al.
Published: (2024)
by: Jeunen, Olivier, et al.
Published: (2024)
Hierarchical Implicit Neural Emulators
by: Jiang, Ruoxi, et al.
Published: (2025)
by: Jiang, Ruoxi, et al.
Published: (2025)
Benchmarking Simulacra AI's Quantum Accurate Synthetic Data Generation for Chemical Sciences
by: Falcioni, Fabio, et al.
Published: (2025)
by: Falcioni, Fabio, et al.
Published: (2025)
Intuitive Analysis of the Quantization-based Optimization: From Stochastic and Quantum Mechanical Perspective
by: Seok, Jinwuk, et al.
Published: (2024)
by: Seok, Jinwuk, et al.
Published: (2024)
On (Normalised) Discounted Cumulative Gain as an Off-Policy Evaluation Metric for Top-$n$ Recommendation
by: Jeunen, Olivier, et al.
Published: (2023)
by: Jeunen, Olivier, et al.
Published: (2023)
Towards efficient quantum algorithms for diffusion probabilistic models
by: Wang, Yunfei, et al.
Published: (2025)
by: Wang, Yunfei, et al.
Published: (2025)
Stochastic noise can be helpful for variational quantum algorithms
by: Liu, Junyu, et al.
Published: (2022)
by: Liu, Junyu, et al.
Published: (2022)
Stochastic Neural Networks for Quantum Devices
by: Rosenhahn, Bodo, et al.
Published: (2026)
by: Rosenhahn, Bodo, et al.
Published: (2026)
Accelerating PDE Surrogates via RL-Guided Mesh Optimization
by: Meng, Yang, et al.
Published: (2026)
by: Meng, Yang, et al.
Published: (2026)
Variance Reduction in Ratio Metrics for Efficient Online Experiments
by: Baweja, Shubham, et al.
Published: (2024)
by: Baweja, Shubham, et al.
Published: (2024)
Superstate Quantum Mechanics
by: Belov, Mikhail Gennadievich, et al.
Published: (2025)
by: Belov, Mikhail Gennadievich, et al.
Published: (2025)
Quantum Deep Sets and Sequences
by: Vargas-Calderón, Vladimir
Published: (2025)
by: Vargas-Calderón, Vladimir
Published: (2025)
Quantum Deep Equilibrium Models
by: Schleich, Philipp, et al.
Published: (2024)
by: Schleich, Philipp, et al.
Published: (2024)
Quantum AS-DeepOnet: Quantum Attentive Stacked DeepONet for Solving 2D Evolution Equations
by: Wang, Hongquan, et al.
Published: (2026)
by: Wang, Hongquan, et al.
Published: (2026)
Optimizing ZX-Diagrams with Deep Reinforcement Learning
by: Nägele, Maximilian, et al.
Published: (2023)
by: Nägele, Maximilian, et al.
Published: (2023)
Deep Learning Approaches to Quantum Error Mitigation
by: Placidi, Leonardo, et al.
Published: (2026)
by: Placidi, Leonardo, et al.
Published: (2026)
Quantum Deep Learning: A Comprehensive Review
by: Ji, Yanjun, et al.
Published: (2026)
by: Ji, Yanjun, et al.
Published: (2026)
Predictive Performance of Deep Quantum Data Re-uploading Models
by: Wang, Xin, et al.
Published: (2025)
by: Wang, Xin, et al.
Published: (2025)
A Qubit-Efficient Hybrid Quantum Encoding Mechanism for Quantum Machine Learning
by: Cowlessur, Hevish, et al.
Published: (2025)
by: Cowlessur, Hevish, et al.
Published: (2025)
Transfer Learning for Deep-Unfolded Combinatorial Optimization Solver with Quantum Annealer
by: Hagiwara, Ryo, et al.
Published: (2025)
by: Hagiwara, Ryo, et al.
Published: (2025)
Rethink the Role of Deep Learning towards Large-scale Quantum Systems
by: Zhao, Yusheng, et al.
Published: (2025)
by: Zhao, Yusheng, et al.
Published: (2025)
Data-Driven Qubit Characterization and Optimal Control using Deep Learning
by: Surrey, Paul, et al.
Published: (2026)
by: Surrey, Paul, et al.
Published: (2026)
Quantum Natural Stochastic Pairwise Coordinate Descent
by: Sohail, Mohammad Aamir, et al.
Published: (2024)
by: Sohail, Mohammad Aamir, et al.
Published: (2024)
Quantum Generative Diffusion Model: A Fully Quantum-Mechanical Model for Generating Quantum State Ensemble
by: Chen, Chuangtao, et al.
Published: (2024)
by: Chen, Chuangtao, et al.
Published: (2024)
Quantum Enhanced Anomaly Detection for ADS-B Data using Hybrid Deep Learning
by: Naaman, Rani, et al.
Published: (2025)
by: Naaman, Rani, et al.
Published: (2025)
Breaking Through Barren Plateaus: Reinforcement Learning Initializations for Deep Variational Quantum Circuits
by: Peng, Yifeng, et al.
Published: (2025)
by: Peng, Yifeng, et al.
Published: (2025)
Trade-off between Gradient Measurement Efficiency and Expressivity in Deep Quantum Neural Networks
by: Chinzei, Koki, et al.
Published: (2024)
by: Chinzei, Koki, et al.
Published: (2024)
Escaping from the Barren Plateau via Gaussian Initializations in Deep Variational Quantum Circuits
by: Zhang, Kaining, et al.
Published: (2022)
by: Zhang, Kaining, et al.
Published: (2022)
Using Quantum Solved Deep Boltzmann Machines to Increase the Data Efficiency of RL Agents
by: Kent, Daniel, et al.
Published: (2024)
by: Kent, Daniel, et al.
Published: (2024)
A Versatile Variational Quantum Kernel Framework for Non-Trivial Classification
by: Yuhan, Jiang, et al.
Published: (2025)
by: Yuhan, Jiang, et al.
Published: (2025)
Deep Neural Network Emulation of the Quantum-Classical Transition via Learned Wigner Function Dynamics
by: Majid, Kamran
Published: (2025)
by: Majid, Kamran
Published: (2025)
A Unified Blockwise Measurement Design for Learning Quantum Channels and Lindbladians via Low-Rank Matrix Sensing
by: Lang, Quanjun, et al.
Published: (2025)
by: Lang, Quanjun, et al.
Published: (2025)
Deep reinforcement learning for near-deterministic preparation of cubic- and quartic-phase gates in photonic quantum computing
by: Anteneh, Amanuel, et al.
Published: (2025)
by: Anteneh, Amanuel, et al.
Published: (2025)
The Quantum Path Kernel: a Generalized Quantum Neural Tangent Kernel for Deep Quantum Machine Learning
by: Incudini, Massimiliano, et al.
Published: (2022)
by: Incudini, Massimiliano, et al.
Published: (2022)
QFDNN: A Resource-Efficient Variational Quantum Feature Deep Neural Networks for Fraud Detection and Loan Prediction
by: Das, Subham, et al.
Published: (2025)
by: Das, Subham, et al.
Published: (2025)
Similar Items
-
Training neural operators to preserve invariant measures of chaotic attractors
by: Jiang, Ruoxi, et al.
Published: (2023) -
Embed and Emulate: Contrastive representations for simulation-based inference
by: Jiang, Ruoxi, et al.
Published: (2024) -
Beyond Ensemble Averages: Leveraging Climate Model Ensembles for Subseasonal Forecasting
by: Orlova, Elena, et al.
Published: (2022) -
$Δ\text{-}{\rm OPE}$: Off-Policy Estimation with Pairs of Policies
by: Jeunen, Olivier, et al.
Published: (2024) -
Ito Diffusion Approximation of Universal Ito Chains for Sampling, Optimization and Boosting
by: Ustimenko, Aleksei, et al.
Published: (2023)