Cover Image

Assessing the Advantages and Limitations of Quantum Neural Networks in Regression Tasks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	de Limaa, Gubio G., Farias, Tiago de S., Ricardo, Alexandre C., Boas, Celso Jorge Villa
Format:	Preprint
Published:	2025
Subjects:	Quantum Physics Computational Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Quantum computation over the vibrational modes of a single trapped ion
by: Ricardo, Alexandre C., et al.
Published: (2024)

MixFunn: A Neural Network for Differential Equations with Improved Generalization and Interpretability
by: Farias, Tiago de Souza, et al.
Published: (2025)

An introduction to Neural Networks for Physicists
by: de Miranda, G. Café, et al.
Published: (2025)

Inverse Physics-informed neural networks procedure for detecting noise in open quantum systems
by: de Lima, Gubio G., et al.
Published: (2025)

Introdução a rede neural para Físicos
by: de Lima, Gubio Gomes, et al.
Published: (2025)

Assessing Quantum Advantage for Gaussian Process Regression
by: Lowe, Dominic, et al.
Published: (2025)

Interference Between Electromagnetic and Mechanical Waves
by: Ricardo, Alexandre Cesar, et al.
Published: (2025)

Dark States of Light and the Hidden Energy in Thermal Radiation Detection
by: Villas-Boas, Celso Jorge, et al.
Published: (2025)

Regression of Functions by Quantum Neural Networks Circuits
by: Neto, Fernando M. de Paula, et al.
Published: (2025)

Dissipative Preparation of Many-Body Quantum States: Towards Practical Quantum Advantage
by: Lin, Lin
Published: (2025)

Limitations of Linear Cross-Entropy as a Measure for Quantum Advantage
by: Gao, Xun, et al.
Published: (2021)

Quantum Features of the Thermal Two-Qubit Quantum Rabi Model in Ultra- and Deep-Strong Regimes
by: Diniz, Ciro Micheletti, et al.
Published: (2025)

Computational Advantage in Hybrid Quantum Neural Networks: Myth or Reality?
by: Kashif, Muhammad, et al.
Published: (2024)

Formal Framework for Quantum Advantage
by: Buhrman, Harry, et al.
Published: (2025)

Quantum Communication Advantage in TFNP
by: Göös, Mika, et al.
Published: (2024)

Interference between non-overlapping waves
by: Santos, Alan C., et al.
Published: (2025)

Quantum Algorithms in IBMQ Experience: Deutsch-Jozsa algorithm
by: Oliveira, Antonio N., et al.
Published: (2021)

Engineered Kerr Nonlinearities for Precise Quantum Control of Fock States
by: Damas, Gabriella G., et al.
Published: (2025)

Optimization Algorithm for Inventory Allocation in Gravity-Flow Racks with Classical and Quantum-Hybrid Computing
by: Fernandes, Gabriel P. L. M., et al.
Published: (2024)

Segmentation-Based Regression for Quantum Neural Networks
by: Hateley, James C.
Published: (2025)

Simple Information Processing Tasks with Unbounded Quantum Advantage
by: Heinosaari, Teiko, et al.
Published: (2023)

Warehouse optimization using a trapped-ion quantum processor
by: Ricardo, Alexandre C., et al.
Published: (2024)

Trapped-ion toolbox to simulate quantum Otto heat engines
by: de Assis, Rogério Jorge, et al.
Published: (2024)

Quantum Orthogonal Separable Physics-Informed Neural Networks
by: Zanotta, Pietro, et al.
Published: (2025)

Quantum Inspiration, Classical Advantage: Dequantized particle algorithm for the nonlinear Vlasov-Poisson system
by: Qin, Hong, et al.
Published: (2025)

Unconditional Quantum Advantage for Sampling with Shallow Circuits
by: Watts, Adam Bene, et al.
Published: (2023)

A Criterion for Post-Selected Quantum Advantage
by: Karamchedu, Chaitanya, et al.
Published: (2024)

Deep Neural Networks as the Semi-classical Limit of Topological Quantum Neural Networks: The problem of generalisation
by: Marciano, Antonino, et al.
Published: (2022)

Algorithmic Advantage on a Gate-Based Photonic Quantum Neural Network
by: McKiernan, Solomon, et al.
Published: (2026)

Limitations of Quantum Advantage in Unsupervised Machine Learning
by: Patel, Apoorva D.
Published: (2025)

Towards Quantum Advantage in Chemistry
by: Genin, Scott N., et al.
Published: (2025)

Quantum Neural Physics: Solving Partial Differential Equations on Quantum Simulators using Quantum Convolutional Neural Networks
by: Zhai, Jucai, et al.
Published: (2026)

Quantum Resonator as a Directional Quantum Emitter
by: Solak, Luiz O. R., et al.
Published: (2025)

Quantum Advantage in Distributed Sensing with Noisy Quantum Networks
by: Zang, Allen, et al.
Published: (2024)

Sampling Frequency Thresholds for Quantum Advantage of Quantum Approximate Optimization Algorithm
by: Lykov, Danylo, et al.
Published: (2022)

Quantum Advantage in Decision Trees: A Weighted Graph and $L_1$ Norm Approach
by: Grillo, Sebastian Alberto, et al.
Published: (2026)

Learning to Maximize Quantum Neural Network Expressivity via Effective Rank
by: Yao, Juan
Published: (2025)

A Framework for Quantum Advantage
by: Lanes, Olivia, et al.
Published: (2025)

Convergence and Quantum Advantage of Trotterized MERA for Strongly-Correlated Systems
by: Miao, Qiang, et al.
Published: (2023)

Quantum Energetic Advantage before Computational Advantage in Boson Sampling
by: Soret, Ariane, et al.
Published: (2026)