Cover Image

When Quantum and Classical Models Disagree: Learning Beyond Minimum Norm Least Square

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Thabet, Slimane, Monbroussou, Léo, Mamon, Eliott Z., Landman, Jonas
Format:	Preprint
Published:	2024
Subjects:	Quantum Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Constrained and Vanishing Expressivity of Quantum Fourier Models
by: Mhiri, Hela, et al.
Published: (2024)

Towards quantum advantage with photonic state injection
by: Monbroussou, Léo, et al.
Published: (2024)

Orbit dimensions in linear and Gaussian quantum optics
by: Mamon, Eliott Z.
Published: (2025)

Subspace Preserving Quantum Convolutional Neural Network Architectures
by: Monbroussou, Léo, et al.
Published: (2024)

Quantum Positional Encodings for Graph Neural Networks
by: Thabet, Slimane, et al.
Published: (2024)

Disentangling Quantum and Classical Contributions in Hybrid Quantum Machine Learning Architectures
by: Kölle, Michael, et al.
Published: (2023)

Boson sampling beyond the dilute regime: second moments and anti-concentration
by: Mhiri, Hela, et al.
Published: (2026)

Cavity elimination in cavity-QED: a self-consistent input-output approach
by: Rambeau, Eliott, et al.
Published: (2026)

Overcoming Barren Plateaus in Variational Quantum Circuits using a Two-Step Least Squares Approach
by: Boabang, Francis, et al.
Published: (2026)

A Quantum Search Approach to Magic Square Constraint Problems with Classical Benchmarking
by: R, Rituparna, et al.
Published: (2026)

Evaluating Variational Quantum Circuit Architectures for Distributed Quantum Computing
by: Sünkel, Leo, et al.
Published: (2025)

When Wyner and Ziv Met Bayes in Quantum-Classical Realm
by: Sohail, Mohammad Aamir, et al.
Published: (2025)

Quantum Coherence as a Thermodynamic Resource Beyond the Classical Uncertainty Bound
by: Su, Shanhe, et al.
Published: (2025)

Quantum Vision Transformers
by: Cherrat, El Amine, et al.
Published: (2022)

Hybrid Quantum-Classical Optimization Workflows for the Shipment Selection Problem
by: Lopez-Ruiz, Miguel Angel, et al.
Published: (2026)

On the Importance of Fundamental Properties in Quantum-Classical Machine Learning Models
by: Illésová, Silvie, et al.
Published: (2025)

Beyond Classical Attention: Quantum Attention for Scalable Computation
by: Guo, Xuyang, et al.
Published: (2023)

When Does Quantum Annealing Outperform Classical Methods? A Gradient Variance Framework
by: Ohal, Vishwajeet, et al.
Published: (2026)

Classical-Quantum Hybrid Models
by: Terno, Daniel R.
Published: (2023)

Driving Quantum Heat Engines Beyond Classical Limits through Multilevel Coherence
by: Wang, Hui, et al.
Published: (2026)

Quantum-Train: Rethinking Hybrid Quantum-Classical Machine Learning in the Model Compression Perspective
by: Liu, Chen-Yu, et al.
Published: (2024)

Geometric Optimization of Quantum Control with Minimum Cost
by: Tan, Chengming, et al.
Published: (2024)

Group Invariant Quantum Latin Squares
by: Árnadóttir, Arnbjörg Soffía, et al.
Published: (2024)

i-QLS: Quantum-supported Algorithm for Least Squares Optimization in Non-Linear Regression
by: Venkatesh, Supreeth Mysore, et al.
Published: (2025)

Framework for Learning and Control in the Classical and Quantum Domains
by: Vedaie, Seyed Shakib, et al.
Published: (2023)

Electronic Wigner-Molecule Polymeric Chains in Elongated Silicon Quantum Dots and Finite-Length Quantum Wires
by: Goldberg, Arnon, et al.
Published: (2024)

Quantum Approximate $k$-Minimum Finding
by: Gao, Minbo, et al.
Published: (2024)

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

Quantum Principle of Least Action in Dynamic Theories With Higher Derivatives
by: Gorobey, Natalia, et al.
Published: (2024)

Training Classical Neural Networks by Quantum Machine Learning
by: Liu, Chen-Yu, et al.
Published: (2024)

Entanglement and Classical Simulability in Quantum Extreme Learning Machines
by: De Lorenzis, A., et al.
Published: (2025)

The Journey from Planck Distribution to Bose Statistics From Classical to Quantum Mechanics and Beyond
by: Dash, Shreetam, et al.
Published: (2025)

Generalization Bounds in Hybrid Quantum-Classical Machine Learning Models
by: Wu, Tongyan, et al.
Published: (2025)

Wave-function microscopy: Derivation and anatomy of exact algebraic spinful wave functions and full Wigner-molecular spectra of a few highly correlated rapidly rotating ultracold fermionic atoms
by: Yannouleas, Constantine, et al.
Published: (2025)

A Geometric-Aware Perspective and Beyond: Hybrid Quantum-Classical Machine Learning Methods
by: Alavia, Azadeh, et al.
Published: (2025)

Photonic Quantum Convolutional Neural Networks with Adaptive State Injection
by: Monbroussou, Léo, et al.
Published: (2025)

It's Quick to be Square: Fast Quadratisation for Quantum Toolchains
by: Schmidbauer, Lukas, et al.
Published: (2024)

Quantum Algorithms for Magic Square Diophantine Equations
by: Thanos, Dimitrios, et al.
Published: (2026)

Quantum Global Minimum Finder based on Variational Quantum Search
by: Soltaninia, Mohammadreza, et al.
Published: (2024)