:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Koutromanos, Dimitris, Stefanatos, Dionisis, Paspalakis, Emmanuel
Format:	Preprint
Published:	2024
Subjects:	Quantum Physics
Online Access:	https://arxiv.org/abs/2412.14591
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Fast generation of entanglement between coupled spins using optimization and deep learning methods
by: Koutromanos, Dimitris, et al.
Published: (2024)

Fast charging of an Ising spin pair quantum battery using optimal control
by: Evangelakos, Vasileios, et al.
Published: (2024)

Fast chiral resolution with optimal control
by: Stefanatos, Dionisis, et al.
Published: (2025)

Efficient population transfer in a quantum dot exciton under phonon-induced decoherence via shortcuts to adiabaticity
by: Kosionis, Spyridon G., et al.
Published: (2025)

A review of quantum machine learning and quantum-inspired applied methods to computational fluid dynamics
by: Amaral, Cesar A., et al.
Published: (2025)

Spatio-spectral control of spontaneous emission
by: Asadpour, Seyyed Hossein, et al.
Published: (2024)

Training-efficient density quantum machine learning
by: Coyle, Brian, et al.
Published: (2024)

An efficient framework for quantum dynamics driven by nonclassical light
by: Li, Sheng-Wen, et al.
Published: (2026)

Thermodynamic uncertainty relations for relativistic quantum thermal machines
by: Moustos, Dimitris, et al.
Published: (2025)

An energy efficient quantum-enhanced machine
by: Hou, Waner, et al.
Published: (2024)

Spectral methods: crucial for machine learning, natural for quantum computers?
by: Belis, Vasilis, et al.
Published: (2026)

Towards provably efficient quantum algorithms for large-scale machine-learning models
by: Liu, Junyu, et al.
Published: (2023)

Memory-enhanced quantum extreme learning machines for characterizing non-Markovian dynamics
by: Assil, Hajar, et al.
Published: (2026)

Scalable quantum dynamics compilation via quantum machine learning
by: Zhang, Yuxuan, et al.
Published: (2024)

Testing quantum-like markers in neural dynamics
by: Ghose, Partha, et al.
Published: (2025)

BenchQC -- Scalable and modular benchmarking of industrial quantum computing applications
by: Geissler, Florian, et al.
Published: (2025)

TeD-Q: a tensor network enhanced distributed hybrid quantum machine learning framework
by: Chen, Yaocheng, et al.
Published: (2023)

Unlocking photodetection for quantum sensing with Bayesian likelihood-free methods and deep learning
by: Molenda, Mateusz, et al.
Published: (2026)

Unified framework for efficiently computable quantum circuits
by: Ermakov, Igor, et al.
Published: (2024)

Exploring quantum localization with machine learning
by: Montes, J., et al.
Published: (2024)

A Kerr kernel quantum learning machine
by: Wood, Carolyn, et al.
Published: (2024)

Measurement-based quantum machine learning
by: Calderón, Luis Mantilla, et al.
Published: (2024)

Single-shot quantum machine learning
by: Recio-Armengol, Erik, et al.
Published: (2024)

Local surrogates for quantum machine learning
by: Nair, Sreeraj Rajindran, et al.
Published: (2025)

Machine-learning-inspired quantum control in many-body dynamics
by: Mao, Meng-Yun, et al.
Published: (2024)

A unified framework for efficient quantum simulation of nonlinear spectroscopy
by: Xiong, Long, et al.
Published: (2026)

Molecular representations of quantum circuits for quantum machine learning
by: Torabian, Elham, et al.
Published: (2025)

Quantum-centric machine learning for molecular dynamics
by: Tao, Yanxian, et al.
Published: (2025)

Can machine learning for quantum-gas experiments be explainable?
by: Zwolak, I. B. Spielman amd J. P.
Published: (2026)

A short review on qudit quantum machine learning
by: Farias, Tiago de Souza, et al.
Published: (2025)

Nanodiamond quantum thermometry assisted with machine learning
by: Yamamoto, Kouki, et al.
Published: (2025)

Quantum machine learning framework for longitudinal biomedical studies
by: Demidik, Maria, et al.
Published: (2025)

Black hole/quantum machine learning correspondence
by: Lee, Jae-Weon, et al.
Published: (2025)

The power of entanglement in distributed quantum machine learning
by: Kim, Yerim, et al.
Published: (2026)

Encoding molecular structures in quantum machine learning
by: Boy, Choy, et al.
Published: (2025)

Research progress on quantum neural networks and quantum machine learning
by: Sun, Yifan, et al.
Published: (2026)

Surpassing Carnot efficiency with relativistic motion
by: Moustos, Dimitris, et al.
Published: (2025)

Automated quantum system modeling with machine learning
by: Mukherjee, Kaustav, et al.
Published: (2024)

Variational quantum cloning machine on an integrated photonic interferometer
by: Hoch, Francesco, et al.
Published: (2024)

Quantum thermal machines in BTZ black hole spacetime
by: Moustos, Dimitris, et al.
Published: (2025)