Cover Image

Circuit Harmonic Matrices: A Spectral Framework for Quantum Machine Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Campbell, Kyle James Stuart, Del Debbio, Luigi, Wallden, Petros
Format:	Preprint
Published:	2026
Subjects:	Quantum Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Quantum-enhanced Markov Chain Monte Carlo for systems larger than your Quantum Computer
by: Ferguson, Stuart, et al.
Published: (2024)

Methods for non-variational heuristic quantum optimisation
by: Ferguson, Stuart, et al.
Published: (2026)

Dynamics of discrete spacetimes with Quantum-enhanced Markov Chain Monte Carlo
by: Ferguson, Stuart, et al.
Published: (2025)

A Spectral Gap Informed Parameter Schedule for QAOA
by: McDowall, Kieran, et al.
Published: (2026)

Verifiable End-to-End Delegated Variational Quantum Algorithms
by: Inajetovic, Matteo, et al.
Published: (2025)

Heuristic Time Complexity of NISQ Shortest-Vector-Problem Solvers
by: Prokop, Miloš, et al.
Published: (2025)

A Practically Scalable Approach to the Closest Vector Problem for Sieving via QAOA with Fixed Angles
by: Priestley, Ben, et al.
Published: (2025)

Contrary Inferences for Classical Histories within the Consistent Histories Formulation of Quantum Theory
by: Zampeli, Adamantia, et al.
Published: (2022)

Adiabatic quantum unstructured search in parallel
by: Adamson, Sean A., et al.
Published: (2025)

Random Natural Gradient
by: Kolotouros, Ioannis, et al.
Published: (2023)

Benincasa-Dowker-Glaser causal set actions by quantum counting
by: Adamson, Sean A., et al.
Published: (2025)

Quantum cryptography beyond key distribution: theory and experiment
by: Bozzio, Mathieu, et al.
Published: (2024)

Quantum Elastic Network Models and their Application to Graphene
by: Kolotouros, Ioannis, et al.
Published: (2026)

Adiabatic-Inspired Hybrid Quantum-Classical Methods for Molecular Ground State Preparation
by: Thrasher, Sean, et al.
Published: (2025)

A Brief Review of Quantum Machine Learning for Financial Services
by: Doosti, Mina, et al.
Published: (2024)

Grover's oracle for the Shortest Vector Problem and its application in hybrid classical-quantum solvers
by: Prokop, Milos, et al.
Published: (2024)

Machine Learning Approaches to Building Quantum Circuits for Sets of Matrices
by: Fedin, Matvei, et al.
Published: (2026)

Adiabatic quantum computing with parameterized quantum circuits
by: Kolotouros, Ioannis, et al.
Published: (2022)

Incomplete quantum oblivious transfer with perfect one-sided security
by: Reichmuth, David, et al.
Published: (2024)

Quantum Random Features: A Spectral Framework for Quantum Machine Learning
by: Sakurai, Akitada, et al.
Published: (2026)

Big data applications on small quantum computers
by: Yogendran, Boniface, et al.
Published: (2024)

On Encoding Matrices using Quantum Circuits
by: Yosef, Liron Mor, et al.
Published: (2025)

Quantum Circuit-Based Learning Models: Bridging Quantum Computing and Machine Learning
by: Fan, Fan, et al.
Published: (2026)

Machine Learning approach to reconstruct Density Matrices from Quantum Marginals
by: Uzcategui-Contreras, Daniel, et al.
Published: (2024)

Spectral Projections for Density Matrices in Quantum Field Theories
by: Guo, Wu-zhong
Published: (2024)

Typical Machine Learning Datasets as Low-Depth Quantum Circuits
by: Kiwit, Florian J., et al.
Published: (2025)

Adversarial Quantum Machine Learning: An Information-Theoretic Generalization Analysis
by: Georgiou, Petros, et al.
Published: (2024)

Optimization of Bottlenecks in Quantum Graphs Guided by Fiedler Vector-Based Spectral Derivatives
by: Campbell, John TM, et al.
Published: (2025)

Neural Networks Asymptotic Behaviours for the Resolution of Inverse Problems
by: Del Debbio, Luigi, et al.
Published: (2024)

Trainability and Expressivity of Hamming-Weight Preserving Quantum Circuits for Machine Learning
by: Monbroussou, Léo, et al.
Published: (2023)

Machine-Learning Insights into the Entanglement-trainability Correlation of Parameterized Quantum Circuits
by: Zhang, Shikun, et al.
Published: (2024)

Spectral Bias in Variational Quantum Machine Learning
by: Duffy, Callum, et al.
Published: (2025)

A Multilevel Framework for Partitioning Quantum Circuits
by: Burt, Felix, et al.
Published: (2025)

Integrating Machine Learning and Quantum Circuits for Proton Affinity Predictions
by: Jin, Hongni, et al.
Published: (2024)

Scalable Quantum Machine Learning via Multi-layer Fully-Connected Variational Quantum Circuits
by: Su, Howard, et al.
Published: (2026)

Automatic Depth-Optimized Quantum Circuit Synthesis for Diagonal Unitary Matrices with Asymptotically Optimal Gate Count
by: Zhang, Shihao, et al.
Published: (2022)

Explaining Quantum Circuits with Shapley Values: Towards Explainable Quantum Machine Learning
by: Heese, Raoul, et al.
Published: (2023)

Evaluating Security Properties in the Execution of Quantum Circuits
by: Bernardi, Paolo, et al.
Published: (2025)

Hybrid Quantum--Classical Machine Learning Potential with Variational Quantum Circuits
by: Willow, Soohaeng Yoo, et al.
Published: (2025)

A Transferable Machine Learning Approach to Predict Quantum Circuit Parameters for Electronic Structure Problems
by: Bincoletto, Davide, et al.
Published: (2025)