Perfil del autor: Lamata Manuel, Lucas
Datos institucionales
Nombre | Lamata Manuel, Lucas |
Departamento | Física Atómica, Molecular y Nuclear |
Área de conocimiento | Física Teórica |
Categoría profesional | Profesor Titular de Universidad |
Correo electrónico | Solicitar |
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Estadísticas
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Nº publicaciones
42
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Nº visitas
3432
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Nº descargas
5983
Publicaciones |
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Artículo
![]() Boson sampling with ultracold atoms in a programmable optical lattice
(American Physical Society, 2024)
Sampling from a quantum distribution can be exponentially hard for classical computers and yet could be performed efficiently ... |
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![]() Nuclear Physics in the Era of Quantum Computing andQuantum Machine Learning
(Wiley, 2024)
In this paper, the application of quantum simulations and quantum machine learning is explored to solve problems in ... |
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![]() Digital-analog quantum computation with arbitrary two-body Hamiltonians
(American Physical Society, 2024)
Digital-analog quantum computing is a computational paradigm which employs an analog Hamiltonian resource together with ... |
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![]() Deterministic single-photon source in the ultrastrong-coupling regime
(American Physical Society, 2023)
We propose a high-quality deterministic single-photon source which can not only works in the ultrastrong light-matter ... |
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![]() Benefits of Open Quantum Systems for Quantum Machine Learning
(Wiley, 2023)
Quantum machine learning (QML) is a discipline that holds the promise ofrevolutionizing data processing and problem-solving. ... |
Trabajo Fin de Grado
![]() Aprendizaje de Refuerzo Cuántico
(2023)
A través de la introducción a dos campos de estudio de actualidad, como lo son la computación cuántica y la inteligencia ... |
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![]() Toward Prediction of Financial Crashes with a D-Wave Quantum Annealer
(MDPI, 2023)
Prediction of financial crashes in a complex financial network is known to be an NP-hard problem, which means that no known ... |
Artículo
![]() Quantum reinforcement learning in the presence of thermal dissipation
(American Physical Society, 2023)
A study of the effect of thermal dissipation on quantum reinforcement learning is performed. For this purpose, a nondissipative ... |
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![]() Quantum Machine Learning Implementations: Proposals and Experiments
(Wiley, 2023)
This article gives an overview and a perspective of recent theoretical proposals and their experimental implementations ... |
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![]() Universal patterns in multifrequency-driven dissipative systems
(IOP Publishing, 2022)
The response of dissipative systems to multi-chromatic fields exhibits generic properties which follow from the discrete ... |
Artículo
![]() An Approach to Interfacing the Brain with Quantum Computers: Practical Steps and Caveats
(Old City Publishing, 2022)
We report on the first proof-of-concept system demonstrating how one can control a qubit with mental activity. We developed ... |
Artículo
![]() Quantum Machine Learning: A tutorial
(Elsevier, 2022)
This tutorial provides an overview of Quantum Machine Learning (QML), a relatively novel discipline that brings together ... |
Artículo
![]() Adaptive random quantum eigensolver
(American Physical Society, 2022)
We propose an adaptive random quantum algorithm to obtain an optimized eigensolver. Specifically, we introduce a general ... |
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![]() Analog quantum approximate optimization algorithm
(IOP Publishing, 2022)
We present an analog version of the quantum approximate optimization algorithm suitable for current quantum annealers. The ... |
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![]() Memristors go quantum
(Springer, 2022)
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![]() ![]() A digital quantum simulation of the Agassi model
(Elsevier, 2022)
A digital quantum simulation of the Agassi model from nuclear physics is proposed and analyzed. The proposal is worked out ... |
Artículo
![]() Quantum Brain Networks: A Perspective
(MDPI, 2022)
We propose Quantum Brain Networks (QBraiNs) as a new interdisciplinary field integratingknowledge and methods from ... |
Trabajo Fin de Grado
![]() Digital-analog quantum simulations with quantum photonics
(2022)
Over the last few decades, quantum simulations turns out to be a quite suitable solution to the obstacles found when trying ... |
Artículo
![]() Digital quantum simulation of an extended Agassi model: Using machine learning to disentangle its phase-diagram
(American Physical Society, 2022)
A digital quantum simulation for the extended Agassi model is proposed using a quantum platform with eight trapped ions. ... |
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![]() Quantum Mechatronics
(Multidisciplinary Digital Publishing Institute (MDPI), 2021)
Mechatronics systems, a macroscopic domain, aim at producing highly efficient engineering platforms, with applications in ... |
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![]() Toward pricing financial derivatives with an IBM quantum computer
(American Physical Society, 2021)
Pricing interest-rate financial derivatives is a major problem in finance, in which it is crucial to accurately reproduce ... |
Artículo
![]() Reinforcement Learning and Physics
(MDPI, 2021)
Machine learning techniques provide a remarkable tool for advancing scientific research, and this area has significantly ... |
Trabajo Fin de Grado |
Artículo
![]() Implementation of a Hybrid Classical-Quantum Annealing Algorithm for Logistic Network Design
(Springer, 2021)
The logistic network design is an abstract optimization problem that, under the assumption of minimal cost, seeks the ... |
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![]() Spin dynamics under the influence of elliptically rotating fields: Extracting the field topology from time-averaged quantities
(American Physical Society, 2021)
Systems that can be effectively described as a localized spin-s particle subject to time-dependent fields have attracted ... |
Artículo
![]() Quantum Reinforcement Learning with Quantum Photonics
(MDPI, 2021)
Quantum machine learning has emerged as a promising paradigm that could accelerate machine learning calculations. Inside ... |
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![]() ![]() One-Photon Solutions to the Multiqubit Multimode Quantum Rabi Model for Fast W -State Generation
(American Physical Society, 2021)
General solutions to the quantum Rabi model involve subspaces with an unbounded number of photons. However, for the ... |
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![]() Quantum simulations of light-matter interactions in arbitrary coupling regimes
(IOP Publishing, 2020)
Light-matter interactions are an established field that is experiencing a renaissance in recent years due to the introduction ... |
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![]() Quantum machine learning and quantum biomimetics: A perspective
(2632-2153, 2020)
Quantum machine learning has emerged as an exciting and promising paradigm inside quantum technologies. It may permit, on ... |
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![]() ![]() Digital-analog quantum algorithm for the quantum Fourier transform
(American Physical Society, 2020)
Quantum computers will allow calculations beyond existing classical computers. However, current technology is still too ... |
Trabajo Fin de Grado
![]() Supremacía cuántica con tecnologías cuánticas
(2020)
In this work, we aim to give an introduction to quantum technologies and quantum computation, providing an overview of its ... |
Artículo
![]() Digital-analog quantum computation
(American Physical Society, 2020)
Digital quantum computing paradigm offers highly desirable features such as universality, scalability, and quantum error ... |
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![]() Making quantum simulations of quantum field theories more affordable
(Verein zur Förderung des Open Access Publizierens in den Quantenwissenschaften, 2020)
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![]() Probabilistic eigensolver with a trapped-ion quantum processor
(American Physical Society, 2020)
Preparing the eigenstate, especially the ground state, of a complex Hamiltonian is of great importance in quantum simulations. ... |
Artículo
![]() Measurement-Based Adaptation Protocol with Quantum Reinforcement Learning in a Rigetti Quantum Computer
(Multidisciplinary Digital Publishing Institute (MDPI), 2020)
We present an experimental realisation of a measurement-based adaptation protocol with quantum reinforcement learning in ... |
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![]() Selective interactions in the quantum Rabi model
(American Physical Society, 2020)
We demonstrate the emergence of selective k-photon interactions in the strong and ultrastrong coupling regimes of the ... |
Artículo
![]() Quantum computing cryptography: Finding cryptographic Boolean functions with quantum annealing by a 2000 qubit D-wave Quantum Computer
(Elsevier, 2020)
As the building block in symmetric cryptography, designing Boolean functions satisfying multiple properties is an important ... |
Artículo
![]() Reinforcement learning for semi-autonomous approximate quantum eigensolver
(IOP Publishing, 2020)
The characterization of an operator by its eigenvectors and eigenvalues allows us to know its action over any quantum ... |
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![]() Quantum Advantage in Cryptography with a Low-Connectivity Quantum Annealer
(American Physical Society, 2020)
The application in cryptography of quantum algorithms for prime factorization fostered the interest in quantum computing. ... |
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![]() Quantum algorithm for solving linear differential equations: Theory and experiment
(American Physical Society, 2020)
Solving linear differential equations (LDEs) is a hard problem for classical computers, while quantum algorithms have been ... |
Artículo
![]() Symmetry in Quantum Optics Models
(MDPI, 2019)
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