:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Ubale, Rushikesh, K., Sujan K., Deshpande, Sangram, Byrd, Gregory T.
Format:	Preprint
Published:	2025
Subjects:	Quantum Physics Information Theory Machine Learning
Online Access:	https://arxiv.org/abs/2505.00137
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Quantum Similarity-Driven QUBO Framework for Multi-Period Supply Chain Allocation using Time-Multiplexed Coherent Ising Machines and Simulated Quantum Annealing
by: Ubale, Rushikesh, et al.
Published: (2025)

End-to-End Portfolio Optimization with Quantum Annealing
by: Morapakula, Sai Nandan, et al.
Published: (2025)

Transition Role of Entangled Data in Quantum Machine Learning
by: Wang, Xinbiao, et al.
Published: (2023)

Prediction of Stocks Index Price using Quantum GANs
by: Deshpande, Sangram, et al.
Published: (2025)

Toward Uncertainty-Aware and Generalizable Neural Decoding for Quantum LDPC Codes
by: Mi, Xiangjun, et al.
Published: (2025)

Statistical Complexity of Quantum Learning
by: Banchi, Leonardo, et al.
Published: (2023)

Generalization Bounds for Quantum Learning via Rényi Divergences
by: Warsi, Naqueeb Ahmad, et al.
Published: (2025)

Equivalence of Privacy and Stability with Generalization Guarantees in Quantum Learning
by: Dasgupta, Ayanava, et al.
Published: (2026)

Noisy Quantum Learning Theory
by: Cotler, Jordan, et al.
Published: (2025)

Vehicle Routing Problems via Quantum Graph Attention Network Deep Reinforcement Learning
by: Giang, Le Tung, et al.
Published: (2025)

Quantum Doeblin Coefficients: Interpretations and Applications
by: George, Ian, et al.
Published: (2025)

Quantum Information Ordering and Differential Privacy
by: Warsi, Naqueeb Ahmad, et al.
Published: (2025)

Performance Guarantees for Quantum Neural Estimation of Entropies
by: Sreekumar, Sreejith, et al.
Published: (2025)

Quantum-Enhanced Neural Contextual Bandit Algorithms
by: Huang, Yuqi, et al.
Published: (2026)

New Bounds on Quantum Sample Complexity of Measurement Classes
by: Heidari, Mohsen, et al.
Published: (2024)

HyperNQ: A Hypergraph Neural Network Decoder for Quantum LDPC Codes
by: Bhave, Ameya S., et al.
Published: (2025)

Quantum Pufferfish Privacy: A Flexible Privacy Framework for Quantum Systems
by: Nuradha, Theshani, et al.
Published: (2023)

Sample Complexity of Composite Quantum Hypothesis Testing
by: Simpson, Jacob Paul, et al.
Published: (2026)

Query Complexity of Classical and Quantum Channel Discrimination
by: Nuradha, Theshani, et al.
Published: (2025)

Decoding Quantum LDPC Codes Using Graph Neural Networks
by: Ninkovic, Vukan, et al.
Published: (2024)

Quantum Maximum Likelihood Prediction via Hilbert Space Embeddings
by: Sreekumar, Sreejith, et al.
Published: (2026)

Efficient Gradient Estimation for Parameterized Quantum Systems with Lie Algebraic Symmetries
by: Heidari, Mohsen, et al.
Published: (2024)

Demonstration of Robust and Efficient Quantum Property Learning with Shallow Shadows
by: Hu, Hong-Ye, et al.
Published: (2024)

Lower Bounds for Learning Quantum States with Single-Copy Measurements
by: Lowe, Angus, et al.
Published: (2022)

Information-Theoretic Limits of Quantum Learning via Data Compression
by: Angrisani, Armando, et al.
Published: (2021)

Contraction of Private Quantum Channels and Private Quantum Hypothesis Testing
by: Nuradha, Theshani, et al.
Published: (2024)

Quantum Neural Estimation of Entropies
by: Goldfeld, Ziv, et al.
Published: (2023)

Comparing Quantum Encoding Techniques
by: Munikote, Nidhi
Published: (2024)

Comparative Performance Analysis of Quantum Machine Learning Architectures for Credit Card Fraud Detection
by: Alami, Mansour El, et al.
Published: (2024)

Variational Quantum Integrated Sensing and Communication
by: Nikoloska, Ivana, et al.
Published: (2025)

Privacy-Utility Tradeoffs in Quantum Information Processing
by: Nuradha, Theshani, et al.
Published: (2026)

Quantum natural gradient without monotonicity
by: Sasaki, Toi, et al.
Published: (2024)

Neural Minimum Weight Perfect Matching for Quantum Error Codes
by: Peled, Yotam, et al.
Published: (2026)

Machine Learning for Practical Quantum Error Mitigation
by: Liao, Haoran, et al.
Published: (2023)

Measured Hockey-Stick Divergence and its Applications to Quantum Pufferfish Privacy
by: Nuradha, Theshani, et al.
Published: (2025)

Non-Linear Strong Data-Processing for Quantum Hockey-Stick Divergences
by: Nuradha, Theshani, et al.
Published: (2025)

Quantum-secure multiparty deep learning
by: Sulimany, Kfir, et al.
Published: (2024)

EQNN: Enhanced Quantum Neural Network
by: Chen, Abel C. H.
Published: (2024)

Taming Barren Plateaus in Arbitrary Parameterized Quantum Circuits without Sacrificing Expressibility
by: Chen, Zhenyu, et al.
Published: (2025)

The Exact Replica Threshold for Nonlinear Moments of Quantum States
by: Zeng, Shuai
Published: (2026)