:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Mannucci, Mirco A.
Format:	Preprint
Published:	2026
Subjects:	Quantum Physics Artificial Intelligence
Online Access:	https://arxiv.org/abs/2603.26739
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learning with Density Matrices and Random Features
by: González, Fabio A., et al.
Published: (2021)

When the Weak Becomes Strong: Effective Observables via Time-Symmetric Quantum Selection
by: Mannucci, Mirco A.
Published: (2025)

Weak Values as Geometric Lenses: Deformations of Hilbert Space and the Emergence of superoscillations
by: Mannucci, Mirco A.
Published: (2025)

Adaptive Entanglement Routing with Deep Q-Networks in Quantum Networks
by: Jallow, Lamarana, et al.
Published: (2025)

Reinforcement Learning for Quantum Circuit Design: Using Matrix Representations
by: Wang, Zhiyuan, et al.
Published: (2025)

Q-DIVER: Integrated Quantum Transfer Learning and Differentiable Quantum Architecture Search with EEG Data
by: Park, Junghoon Justin, et al.
Published: (2026)

Solution Space Topology Guides CMTS Search
by: Mannucci, Mirco A.
Published: (2025)

Agent-Q: Fine-Tuning Large Language Models for Quantum Circuit Generation and Optimization
by: Jern, Linus, et al.
Published: (2025)

OrganiQ: Mitigating Classical Resource Bottlenecks of Quantum Generative Adversarial Networks on NISQ-Era Machines
by: Silver, Daniel, et al.
Published: (2024)

Robust Belief-State Policy Learning for Quantum Network Routing Under Decoherence and Time-Varying Conditions
by: Taherpour, Amirhossein, et al.
Published: (2025)

Towards Accelerated SCF Workflows with Equivariant Density-Matrix Learning and Analytic Refinement
by: Yescas-Ramos, Zuriel Y., et al.
Published: (2026)

Q-Policy: Quantum-Enhanced Policy Evaluation for Scalable Reinforcement Learning
by: Cherukuri, Kalyan, et al.
Published: (2025)

QADQN: Quantum Attention Deep Q-Network for Financial Market Prediction
by: Dutta, Siddhant, et al.
Published: (2024)

Quantum-Assisted Simulation: A Framework for Developing Machine Learning Models in Quantum Computing
by: Rath, Minati, et al.
Published: (2023)

Mediative Fuzzy Logic: From Type-1 Foundations to Type-2, Type-3 and Quantum Extensions
by: Ross, Oscar Montiel
Published: (2026)

Quantum Circuit Reasoning Models: A Variational Framework for Differentiable Logical Inference
by: Kiruluta, Andrew
Published: (2025)

RELiQ: Scalable Entanglement Routing via Reinforcement Learning in Quantum Networks
by: Meuser, Tobias, et al.
Published: (2025)

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

Q-fid: Quantum Circuit Fidelity Improvement with LSTM Networks
by: Mao, Yikai, et al.
Published: (2023)

PristiQ: A Co-Design Framework for Preserving Data Security of Quantum Learning in the Cloud
by: Wang, Zhepeng, et al.
Published: (2024)

Quantum Algorithm for Distributed Reduction of Entanglements (QADR): A Trainable and Simulation-Efficient QML Framework
by: Ahmad, Syed Farhan, et al.
Published: (2026)

HiQ-Lip: A Hierarchical Quantum-Classical Method for Global Lipschitz Constant Estimation of ReLU Networks
by: He, Haoqi, et al.
Published: (2025)

The Quantum Sieve Tracer: A Hybrid Framework for Layer-Wise Activation Tracing in Large Language Models
by: Pan, Jonathan
Published: (2026)

Q-Detection: A Quantum-Classical Hybrid Poisoning Attack Detection Method
by: He, Haoqi, et al.
Published: (2025)

QIXAI: A Quantum-Inspired Framework for Enhancing Classical and Quantum Model Transparency and Understanding
by: Willis, John M.
Published: (2024)

Variational Quantum and Quantum-Inspired Clustering
by: Bermejo, Pablo, et al.
Published: (2022)

From Classical Data to Quantum Advantage -- Quantum Policy Evaluation on Quantum Hardware
by: Hein, Daniel, et al.
Published: (2025)

A Hybrid Quantum-Classical Framework for Financial Volatility Forecasting Based on Quantum Circuit Born Machines
by: Chen, Yixiong
Published: (2026)

Instance-Optimal Matrix Multiplicative Weight Update and Its Quantum Applications
by: Gong, Weiyuan, et al.
Published: (2025)

Quantum AIXI: Universal Intelligence via Quantum Information
by: Perrier, Elija
Published: (2025)

Variational Quantum Circuits in Offline Contextual Bandit Problems
by: Schulte, Lukas, et al.
Published: (2025)

Efficient Quantum-Safe Homomorphic Encryption for Quantum Computer Programs
by: Goertzel, Ben
Published: (2025)

Differentially Private Federated Quantum Learning via Quantum Noise
by: Pokharel, Atit, et al.
Published: (2025)

Learning to Learn with Quantum Optimization via Quantum Neural Networks
by: Chen, Kuan-Cheng, et al.
Published: (2025)

GPA: Grover Policy Agent for Generating Optimal Quantum Sensor Circuits
by: Alomari, Ahmad, et al.
Published: (2025)

Variational Quantum Algorithms for Particle Track Reconstruction
by: Lipardi, Vincenzo, et al.
Published: (2025)

Decoherence in Waveguide Quantum Electrodynamics using Matrix Product States
by: Bundgaard-Nielsen, Matias, et al.
Published: (2026)

Quantum Machine Learning: An Interplay Between Quantum Computing and Machine Learning
by: Qi, Jun, et al.
Published: (2024)

SCALAR: A Neurosymbolic Framework for Automated Conjecture and Reasoning in Quantum Circuit Analysis
by: Feeney, Sean, et al.
Published: (2026)

Quantum Optimization Algorithms
by: Stein, Jonas, et al.
Published: (2025)