Saved in:
| Main Authors: | Sgroi, S., Zicari, G., Imparato, A., Paternostro, M. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2402.07561 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Efficient excitation-transfer across fully connected networks via local-energy optimization
by: Sgroi, S., et al.
Published: (2022)
by: Sgroi, S., et al.
Published: (2022)
A Tutorial on Optimal Control and Reinforcement Learning methods for Quantum Technologies
by: Giannelli, Luigi, et al.
Published: (2021)
by: Giannelli, Luigi, et al.
Published: (2021)
Reinforcement learning approach to non-equilibrium quantum thermodynamics
by: Sgroi, Sofia, et al.
Published: (2020)
by: Sgroi, Sofia, et al.
Published: (2020)
Modelling mechanical equilibration processes of closed quantum systems: a case-study
by: Sgroi, Sofia, et al.
Published: (2021)
by: Sgroi, Sofia, et al.
Published: (2021)
The role of initial coherence in the phase-space entropy production rate
by: Zicari, Giorgio, et al.
Published: (2024)
by: Zicari, Giorgio, et al.
Published: (2024)
Machine Learning-Enhanced Characterisation of Structured Spectral Densities: Leveraging the Reaction Coordinate Mapping
by: Barr, Jessica, et al.
Published: (2025)
by: Barr, Jessica, et al.
Published: (2025)
Criticality-amplified quantum probing of a spontaneous collapse model
by: Zicari, Giorgio, et al.
Published: (2024)
by: Zicari, Giorgio, et al.
Published: (2024)
Broken Detailed Balance and Entropy Production in CPTP Quantum Brownian Motion
by: Artini, Simone, et al.
Published: (2025)
by: Artini, Simone, et al.
Published: (2025)
Spectral Density Classification For Environment Spectroscopy
by: Barr, Jessica, et al.
Published: (2023)
by: Barr, Jessica, et al.
Published: (2023)
Non-equilibrium quantum probing through linear response
by: Blair, Sherry, et al.
Published: (2023)
by: Blair, Sherry, et al.
Published: (2023)
A machine learning based approach to the identification of spectral densities in quantum open systems
by: Barr, Jessica, et al.
Published: (2025)
by: Barr, Jessica, et al.
Published: (2025)
Speeding up thermalization and quantum state preparation through engineered quantum collisions
by: Sgroi, Sofia, et al.
Published: (2025)
by: Sgroi, Sofia, et al.
Published: (2025)
Entanglement distribution through separable states via a zero-added-loss photon multiplexing inspired protocol
by: Campbell, Conall J., et al.
Published: (2024)
by: Campbell, Conall J., et al.
Published: (2024)
Reinforcement learning-enhanced protocols for coherent population-transfer in three-level quantum systems
by: Brown, Jonathon, et al.
Published: (2021)
by: Brown, Jonathon, et al.
Published: (2021)
Energy conservation and fluctuation theorem are incompatible for quantum work
by: Hovhannisyan, Karen V., et al.
Published: (2021)
by: Hovhannisyan, Karen V., et al.
Published: (2021)
Interaction-induced transition in quantum many-body detection probability
by: Purkayastha, Archak, et al.
Published: (2023)
by: Purkayastha, Archak, et al.
Published: (2023)
Driving Enhanced Exciton Transfer by Automatic Differentiation
by: Ballarin, E., et al.
Published: (2024)
by: Ballarin, E., et al.
Published: (2024)
Entangled photons from quantum-dot-cavity systems under non-Markovian decoherence by pulsed excitation
by: Snow, Katy, et al.
Published: (2026)
by: Snow, Katy, et al.
Published: (2026)
Robustness of the quantum Mpemba effect against state-preparation errors
by: Mackinnon, Matthew, et al.
Published: (2025)
by: Mackinnon, Matthew, et al.
Published: (2025)
A thermodynamic approach to optimization in complex quantum systems
by: Imparato, Alberto, et al.
Published: (2023)
by: Imparato, Alberto, et al.
Published: (2023)
Inferring Quantum Network Topologies using Genetic Optimisation of Indirect Measurements
by: Campbell, Conall J., et al.
Published: (2025)
by: Campbell, Conall J., et al.
Published: (2025)
Noise Classification in Three-Level Quantum Networks by Machine Learning
by: Mukherjee, Shreyasi, et al.
Published: (2024)
by: Mukherjee, Shreyasi, et al.
Published: (2024)
Critical assessment of information back-flow in measurement-free teleportation
by: McAleese, Hannah, et al.
Published: (2024)
by: McAleese, Hannah, et al.
Published: (2024)
Hardware Co-Designed Optimal Control for Programmable Atomic Quantum Processors via Reinforcement Learning
by: Ding, Qian, et al.
Published: (2025)
by: Ding, Qian, et al.
Published: (2025)
Distributing quantum correlations through local operations and classical resources
by: Hawkins, Adam G., et al.
Published: (2024)
by: Hawkins, Adam G., et al.
Published: (2024)
Quantum Metrology of Newton's Constant with Levitated Mechanical Systems
by: Headley, Francis J., et al.
Published: (2025)
by: Headley, Francis J., et al.
Published: (2025)
Revealing the non-classicality of a molecular nanomagnet
by: Cammarata, Alessandra, et al.
Published: (2026)
by: Cammarata, Alessandra, et al.
Published: (2026)
Coherent heat exchange in a prethermalizing open quantum system
by: Artini, Simone, et al.
Published: (2025)
by: Artini, Simone, et al.
Published: (2025)
Trotterized Variational Quantum Control for Spin-Chain State Transfer
by: Dehaghani, Nahid Binandeh, et al.
Published: (2025)
by: Dehaghani, Nahid Binandeh, et al.
Published: (2025)
Coherent expansion of the motional state of a massive nanoparticle beyond its linear dimensions
by: Muffato, R., et al.
Published: (2024)
by: Muffato, R., et al.
Published: (2024)
Bridging the Linear-Quadratic Gap: A Quantum-Classical Hybrid Approach to Robust Supply Chain Design
by: Sharma, Rudraksh, et al.
Published: (2026)
by: Sharma, Rudraksh, et al.
Published: (2026)
Engineering nonlinear boson-boson interactions using mediating spin systems
by: McAleese, Hannah, et al.
Published: (2023)
by: McAleese, Hannah, et al.
Published: (2023)
Information flow-enhanced precision in collisional quantum thermometry
by: Mendonça, Taysa M., et al.
Published: (2024)
by: Mendonça, Taysa M., et al.
Published: (2024)
Variational Quantum Circuit Design for Quantum Reinforcement Learning on Continuous Environments
by: Kruse, Georg, et al.
Published: (2023)
by: Kruse, Georg, et al.
Published: (2023)
An Analytical Approach to Design Space Exploration for Cavity-Mediated Quantum State Transfer in Multi-core Architectures
by: Zaragoza, Biel Pons, et al.
Published: (2026)
by: Zaragoza, Biel Pons, et al.
Published: (2026)
Exploring the Optimal Cycle for Quantum Heat Engine using Reinforcement Learning
by: Deng, Gao-xiang, et al.
Published: (2023)
by: Deng, Gao-xiang, et al.
Published: (2023)
Quantifying protocol efficiency: a thermodynamic figure of merit for classical and quantum state-transfer protocols
by: Wu, Qiongyuan, et al.
Published: (2022)
by: Wu, Qiongyuan, et al.
Published: (2022)
Molecular Quantum Control Algorithm Design by Reinforcement Learning
by: Pipi, Anastasia, et al.
Published: (2024)
by: Pipi, Anastasia, et al.
Published: (2024)
Reinforcement Learning for Variational Quantum Circuits Design
by: Foderà, Simone, et al.
Published: (2024)
by: Foderà, Simone, et al.
Published: (2024)
Challenges for Reinforcement Learning in Quantum Circuit Design
by: Altmann, Philipp, et al.
Published: (2023)
by: Altmann, Philipp, et al.
Published: (2023)
Similar Items
-
Efficient excitation-transfer across fully connected networks via local-energy optimization
by: Sgroi, S., et al.
Published: (2022) -
A Tutorial on Optimal Control and Reinforcement Learning methods for Quantum Technologies
by: Giannelli, Luigi, et al.
Published: (2021) -
Reinforcement learning approach to non-equilibrium quantum thermodynamics
by: Sgroi, Sofia, et al.
Published: (2020) -
Modelling mechanical equilibration processes of closed quantum systems: a case-study
by: Sgroi, Sofia, et al.
Published: (2021) -
The role of initial coherence in the phase-space entropy production rate
by: Zicari, Giorgio, et al.
Published: (2024)