Cover Image

Leveraging Machine Learning to Overcome Limitations in Quantum Algorithms

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sala, Laia Coronas, Atchade-Adelemou, Parfait
Format:	Preprint
Published:	2024
Subjects:	Chemical Physics Quantum Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

QMProt: A Comprehensive Dataset of Quantum Properties for Proteins
by: Sala, Laia Coronas, et al.
Published: (2025)

Efficient Protein Ground State Energy Computation via Fragmentation and Reassembly
by: Sala, Laia Coronas, et al.
Published: (2025)

Fourier series weight in quantum machine learning
by: Atchade-Adelomou, Parfait, et al.
Published: (2023)

Quantum Machine Learning of Molecular Energies with Hybrid Quantum-Neural Wavefunction
by: Li, Weitang, et al.
Published: (2025)

Open Source Variational Quantum Eigensolver Extension of the Quantum Learning Machine (QLM) for Quantum Chemistry
by: Haidar, Mohammad, et al.
Published: (2022)

Towards Improved Quantum Machine Learning for Molecular Force Fields
by: Couzinié, Yannick, et al.
Published: (2025)

Critical Limitations in Quantum-Selected Configuration Interaction Methods
by: Reinholdt, Peter, et al.
Published: (2025)

Limitations of Quantum Hardware for Molecular Energy Estimation Using VQE
by: Carreras, Abel, et al.
Published: (2025)

Leveraging Analog Quantum Computing with Neutral Atoms for Solvent Configuration Prediction in Drug Discovery
by: D'Arcangelo, Mauro, et al.
Published: (2023)

Quantum Algorithms and Applications for Open Quantum Systems
by: Delgado-Granados, Luis H., et al.
Published: (2024)

Resource-efficient Quantum Algorithms for Selected Hamiltonian Subspace Diagonalization
by: Graves, Vincent, et al.
Published: (2026)

Molecular Quantum Control Algorithm Design by Reinforcement Learning
by: Pipi, Anastasia, et al.
Published: (2024)

Greedy Gradient-free Adaptive Variational Quantum Algorithms on a Noisy Intermediate Scale Quantum Computer
by: Feniou, César, et al.
Published: (2023)

Hybrid Quantum Algorithm for Simulating Real-Time Thermal Correlation Functions
by: Eklund, Elliot C., et al.
Published: (2024)

The Quantum Ensemble Variational Optimization Algorithm: Applications to Molecular Inverse Design
by: Calcagno, Francesco, et al.
Published: (2025)

An Oracle-Free Quantum Algorithm for Nonadiabatic Quantum Molecular Dynamics
by: Courtney, Joshua
Published: (2026)

Simulating Non-Markovian Dynamics in Multidimensional Electronic Spectroscopy via Quantum Algorithm
by: Gallina, Federico, et al.
Published: (2024)

On the Simulation of Conical Intersections in Water and Methanimine Molecules Via Variational Quantum Algorithms
by: Belaloui, Samir, et al.
Published: (2025)

Quantum Gambling: Best-Arm Strategies for Generator Selection in Adaptive Variational Algorithms
by: Huang, Rick, et al.
Published: (2025)

Hybrid Quantum Algorithms for Computational Chemistry: Application to the Pyridine-Li ion Complex
by: Ghasemi, Fatemeh, et al.
Published: (2026)

Classically Driven Hybrid Quantum Algorithms with Sequential Givens Rotations for Reduced Measurement Cost
by: Mokhtar, Benjamin, et al.
Published: (2026)

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

Bounds on a Wavefunction Overlap with Hamiltonian Eigen-states: Performance Guarantees for the Quantum Phase Estimation Algorithm
by: Lin, Junan, et al.
Published: (2025)

Real-Space Chemistry on Quantum Computers: A Fault-Tolerant Algorithm with Adaptive Grids and Transcorrelated Extension
by: Feniou, César, et al.
Published: (2025)

A Quantum Algorithmic Approach to Multiconfigurational Valence Bond Theory: Insights from Interpretable Circuit Design
by: Kottmann, Jakob S., et al.
Published: (2023)

State-Averaged Quantum Algorithms for Multiconfigurational Surface Chemistry: A Benchmark on Rh@TiO2(110)
by: Larsson, Ernst Dennis Lægteskov Binau, et al.
Published: (2026)

Leveraging commuting groups for an efficient variational Hamiltonian ansatz
by: Anand, Abhinav, et al.
Published: (2023)

Quantum Circuits for the Metropolis-Hastings Algorithm
by: Claudon, Baptiste, et al.
Published: (2025)

The Convergence Frontier: Integrating Machine Learning and High Performance Quantum Computing for Next-Generation Drug Discovery
by: Ansari, Narjes, et al.
Published: (2026)

Beyond Photon Shot Noise: Chemical Limits in Spectrophotometric Precision
by: Engelhardt, Georg, et al.
Published: (2026)

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

Variational Quantum Annealing for Quantum Chemistry
by: Yip, Ka-Wa, et al.
Published: (2025)

Reinforcement Learning Assisted Quantum Simulation of Many-Body Excited States and Real-Time Dynamics
by: Zhang, Jiaji, et al.
Published: (2026)

Quantum Simulation of Open Quantum Dynamics via Non-Markovian Quantum State Diffusion
by: Guo, Yukai, et al.
Published: (2024)

Quantum Solvers for Nonlinear Matrix Equations in Quantum Chemistry
by: Rodenas-Ruiz, Pablo, et al.
Published: (2026)

Quantum-Classical Auxiliary Field Quantum Monte Carlo with Matchgate Shadows on Trapped Ion Quantum Computers
by: Zhao, Luning, et al.
Published: (2025)

Classical and Quantum Machine Learning for Population-Level Prediction of Heat-Related Physiological Events
by: Gonzalez-Bermejo, Saul, et al.
Published: (2026)

A Deterministic Framework for Neural Network Quantum States in Quantum Chemistry
by: Che, Zheng
Published: (2026)

Leveraging Reactant Entanglement in the Coherent Control of Ultracold Bimolecular Chemical Reactions
by: Devolder, Adrien, et al.
Published: (2025)

Shallow Electronic State Preparation for Quantum Chemistry with Quantum Monte Carlo Pre-Selection
by: Welling, Eline, et al.
Published: (2026)