Artificial intelligence discovery of a charging protocol in a micromaser quantum battery
We propose a gradient-based general computational framework for optimizing model-
dependent parameters in quantum batteries (QB). We apply this method to two different …
dependent parameters in quantum batteries (QB). We apply this method to two different …
Introduction to quantum entanglement in many-body systems
The quantum mechanics formalism introduced new revolutionary concepts challenging our
everyday perceptions. Arguably, quantum entanglement, which explains correlations that …
everyday perceptions. Arguably, quantum entanglement, which explains correlations that …
Controlling quantum effects in enhanced strong-field ionisation with machine-learning techniques
H Chomet, S Plesnik, DC Nicolae… - Journal of Physics B …, 2022 - iopscience.iop.org
We study non-classical pathways and quantum interference in enhanced ionisation of
diatomic molecules in strong laser fields using machine learning techniques. Quantum …
diatomic molecules in strong laser fields using machine learning techniques. Quantum …
Bayesian Modelling Approaches for Quantum States--The Ultimate Gaussian Process States Handbook
Y Rath - arxiv preprint arxiv:2308.07669, 2023 - arxiv.org
Capturing the correlation emerging between constituents of many-body systems accurately
is one of the key challenges for the appropriate description of various systems whose …
is one of the key challenges for the appropriate description of various systems whose …
[PDF][PDF] Bayesian Modelling Approaches for Quantum States
Y Rath - 2023 - kclpure.kcl.ac.uk
Capturing the correlation emerging between constituents of many-body systems is one of
the key challenges to describe various quantum systems accurately. This thesis discusses …
the key challenges to describe various quantum systems accurately. This thesis discusses …
Phase space analysis of quantum effects in strong field ionisation
H Chomet - 2023 - discovery.ucl.ac.uk
This thesis explores quantum effects during strong field ionisation, with emphasis on both
classical and quantum phase-space interpretational tools. Specifically, this involves …
classical and quantum phase-space interpretational tools. Specifically, this involves …
Quantum many-body approaches to non-conventional topological phases of matter
J Fraxanet Morales - 2024 - upcommons.upc.edu
(English) In recent years, the evolution of quantum technologies has resulted in an
unprecedented control over individual quantum particles and many-body systems. This …
unprecedented control over individual quantum particles and many-body systems. This …
[PDF][PDF] Machine Learning methodology for the study of a disulfide exchange reaction
CLG Flores - 2022 - core.ac.uk
The thiol-disulfide exchange reaction is a nucleophilic substitution that occurs in a large
class of proteins. It plays an important role regarding the third and fourth dimensional …
class of proteins. It plays an important role regarding the third and fourth dimensional …
Machine learning approach to the extended Hubbard model
F Caleca - amslaurea.unibo.it
The 1d extended Hubbard model with soft-shoulder potential has proved itself to be very
difficult to study due its non solvability and to competition between terms of the Hamiltonian …
difficult to study due its non solvability and to competition between terms of the Hamiltonian …
[PDF][PDF] Machine Learning approach to the Extended Hubbard Model
E Ercolessi, S Tibaldi, F Caleca - amslaurea.unibo.it
The 1d extended Hubbard model with soft-shoulder potential has proved itself to be very
difficult to study due its non solvability and to competition between terms of the Hamiltonian …
difficult to study due its non solvability and to competition between terms of the Hamiltonian …