NameLamata Manuel, Lucas
DepartmentFísica Atómica, Molecular y Nuclear
Knowledge areaFísica Teórica
Professional categoryProfesor Titular de Universidad
E-mailRequest
           
  • No. publications

    39

  • No. visits

    2731

  • No. downloads

    5000


 

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Deterministic single-photon source in the ultrastrong-coupling regime

Peng, Jie; Tang, Jianing; Tang, Pinghua; Ren, Zhongzhou; Tian, Junlong; Barraza, Nancy Korina; Lamata Manuel, Lucas; Albarrán-Arriagada, F. (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

Olivera Atencio, María Laura; Lamata Manuel, Lucas; Casado Pascual, Jesús (Wiley, 2023)
Quantum machine learning (QML) is a discipline that holds the promise ofrevolutionizing data processing and problem-solving. ...
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Quantum reinforcement learning in the presence of thermal dissipation

Olivera Atencio, María Laura; Lamata Manuel, Lucas; Morillo Buzón, Manuel; Casado Pascual, Jesús (American Physical Society, 2023)
A study of the effect of thermal dissipation on quantum reinforcement learning is performed. For this purpose, a nondissipative ...
Final Degree Project
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Aprendizaje de Refuerzo Cuántico

Orozco González, Marina; Lamata Manuel, Lucas (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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Quantum Machine Learning Implementations: Proposals and Experiments

Lamata Manuel, Lucas (Wiley, 2023)
This article gives an overview and a perspective of recent theoretical proposals and their experimental implementations ...
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Toward Prediction of Financial Crashes with a D-Wave Quantum Annealer

Ding, Yongcheng; González Conde, Javier; Lamata Manuel, Lucas; Martín Guerrero, José D.; Lizaso, Enrique; Mugel, Samuel; Sanz, Mikel (MDPI, 2023)
Prediction of financial crashes in a complex financial network is known to be an NP-hard problem, which means that no known ...
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Universal patterns in multifrequency-driven dissipative systems

Olivera Atencio, María Laura; Lamata Manuel, Lucas; Kohler, S.; Casado Pascual, Jesús (IOP Publishing, 2022)
The response of dissipative systems to multi-chromatic fields exhibits generic properties which follow from the discrete ...
Final Degree Project
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Digital-analog quantum simulations with quantum photonics

Alejandre Farauste, Juan; Lamata Manuel, Lucas (2022)
Over the last few decades, quantum simulations turns out to be a quite suitable solution to the obstacles found when trying ...
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Quantum Brain Networks: A Perspective

Miranda, Eduardo R.; Martín Guerrero, José D.; Venkatesh, S.; Hernani Morales, C.; Lamata Manuel, Lucas; Solano, Enrique (MDPI, 2022)
We propose Quantum Brain Networks (QBraiNs) as a new interdisciplinary field integratingknowledge and methods from ...
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A digital quantum simulation of the Agassi model

Pérez Fernández, Pedro; Arias Carrasco, José Miguel; García Ramos, José Enrique; Lamata Manuel, Lucas (Elsevier, 2022)
A digital quantum simulation of the Agassi model from nuclear physics is proposed and analyzed. The proposal is worked out ...
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Quantum Machine Learning: A tutorial

Martín Guerrero, José D.; Lamata Manuel, Lucas (Elsevier, 2022)
This tutorial provides an overview of Quantum Machine Learning (QML), a relatively novel discipline that brings together ...
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Digital quantum simulation of an extended Agassi model: Using machine learning to disentangle its phase-diagram

Sáiz, Álvaro; García Ramos, José Enrique; Arias Carrasco, José Miguel; Lamata Manuel, Lucas; Pérez Fernández, Pedro (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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An Approach to Interfacing the Brain with Quantum Computers: Practical Steps and Caveats

Miranda, E.R.; Venkatesh, S.; Martín Guerrero, José D.; Hernani Morales, C.; Lamata Manuel, Lucas; Solano, Enrique (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 ...
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Memristors go quantum

Lamata Manuel, Lucas (Springer, 2022)
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Analog quantum approximate optimization algorithm

Barraza, Nancy Korina; Alvarado Barrios, Gabriel Dario; Peng, Jie; Lamata Manuel, Lucas; Solano, Enrique; Albarrán Arriagada, Francisco (IOP Publishing, 2022)
We present an analog version of the quantum approximate optimization algorithm suitable for current quantum annealers. The ...
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Adaptive random quantum eigensolver

Barraza, N.; Pan, C.-Y.; Lamata Manuel, Lucas; Solano, E.; Albarrán Arriagada, Francisco (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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Implementation of a Hybrid Classical-Quantum Annealing Algorithm for Logistic Network Design

Ding, Yongcheng; Chen, Xi; Lamata Manuel, Lucas; Solano, Enrique; Sanz, Mikel (Springer, 2021)
The logistic network design is an abstract optimization problem that, under the assumption of minimal cost, seeks the ...
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Toward pricing financial derivatives with an IBM quantum computer

Martín, Ana; Candelas, Bruno; Rodríguez Rozas, Ángel; Martín Guerrero, José D.; Chen, Xi; Lamata Manuel, Lucas; Orús, Román; Solano, Enrique; Sanz, Mikel (American Physical Society, 2021)
Pricing interest-rate financial derivatives is a major problem in finance, in which it is crucial to accurately reproduce ...
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Quantum Reinforcement Learning with Quantum Photonics

Lamata Manuel, Lucas (MDPI, 2021)
Quantum machine learning has emerged as a promising paradigm that could accelerate machine learning calculations. Inside ...
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Quantum Mechatronics

Lamata Manuel, Lucas; Quadrelli, Marco B.; de Silva, Clarence W.; Kumar, Prem; Kanter, Gregory S.; Ghazinejad, Maziar; Khoshnoud, Farbod (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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Reinforcement Learning and Physics

Martín Guerrero, José D.; Lamata Manuel, Lucas (MDPI, 2021)
Machine learning techniques provide a remarkable tool for advancing scientific research, and this area has significantly ...
Final Degree Project
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Foundations of quantum computing and its implementation in trapped ions

Parejo González, Jesús Gerardo; Lamata Manuel, Lucas (2021)
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Spin dynamics under the influence of elliptically rotating fields: Extracting the field topology from time-averaged quantities

Casado Pascual, Jesús; Lamata Manuel, Lucas; Reynoso, A.A. (American Physical Society, 2021)
Systems that can be effectively described as a localized spin-s particle subject to time-dependent fields have attracted ...
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One-Photon Solutions to the Multiqubit Multimode Quantum Rabi Model for Fast W -State Generation

Peng, Jie; Zheng, Juncong; Yu, Jing; Tang,Pinghua; Alvarado Barrios, G.; Solano, Enrique; Albarrán Arriagada, Francisco; Lamata Manuel, Lucas (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

Lamata Manuel, Lucas (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

Lamata Manuel, Lucas (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

Martín, Ana; Lamata Manuel, Lucas; Solano, Enrique; Sanz, Mikel (American Physical Society, 2020)
Quantum computers will allow calculations beyond existing classical computers. However, current technology is still too ...
Final Degree Project
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Supremacía cuántica con tecnologías cuánticas

Fernández Veiga, Ignacio; Lamata Manuel, Lucas (2020)
In this work, we aim to give an introduction to quantum technologies and quantum computation, providing an overview of its ...
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Making quantum simulations of quantum field theories more affordable

Lamata Manuel, Lucas (Verein zur Förderung des Open Access Publizierens in den Quantenwissenschaften, 2020)
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Quantum Advantage in Cryptography with a Low-Connectivity Quantum Annealer

Hu, Feng; Lamata Manuel, Lucas; Wang, Chao; Chen, Xi; Solano, Enrique; Sanz, Mikel (American Physical Society, 2020)
The application in cryptography of quantum algorithms for prime factorization fostered the interest in quantum computing. ...
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Reinforcement learning for semi-autonomous approximate quantum eigensolver

Albarrán Arriagada, Francisco; Retamal, Juan Carlos; Solano, Enrique; Lamata Manuel, Lucas (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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Digital-analog quantum computation

Parra Rodríguez, Adrián; Lougovski, Pavel; Lamata Manuel, Lucas; Solano, Enrique; Sanz, Mikel (American Physical Society, 2020)
Digital quantum computing paradigm offers highly desirable features such as universality, scalability, and quantum error ...
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Quantum algorithm for solving linear differential equations: Theory and experiment

Xin, Tao; Wei, Shijie; Cui, Jianlian; Xiao, Junxiang; Arrazola, Iñigo; Lamata Manuel, Lucas; Kong, Xiangyu; Lu, Dawei; Solano, Enrique; Long, Guilu (American Physical Society, 2020)
Solving linear differential equations (LDEs) is a hard problem for classical computers, while quantum algorithms have been ...
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Quantum computing cryptography: Finding cryptographic Boolean functions with quantum annealing by a 2000 qubit D-wave Quantum Computer

Hu, Feng; Lamata Manuel, Lucas; Sanz, Mikel; Chen, Xi H.; Chen, Xingyuan; Wang, Chao; Solano, Enrique (Elsevier, 2020)
As the building block in symmetric cryptography, designing Boolean functions satisfying multiple properties is an important ...
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Measurement-Based Adaptation Protocol with Quantum Reinforcement Learning in a Rigetti Quantum Computer

Olivares Sánchez, Julio; Casanova, Jorge; Solano, Enrique; Lamata Manuel, Lucas (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

Cong, Lei; Felicetti, Simone; Casanova, Jorge; Lamata Manuel, Lucas; Solano, Enrique; Arrazola, Iñigo (American Physical Society, 2020)
We demonstrate the emergence of selective k-photon interactions in the strong and ultrastrong coupling regimes of the ...
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Probabilistic eigensolver with a trapped-ion quantum processor

Zhang, Jing-Ning; Arrazola, Iñigo; Casanova, Jorge; Lamata Manuel, Lucas; Kim, Kihwan; Solano, Enrique (American Physical Society, 2020)
Preparing the eigenstate, especially the ground state, of a complex Hamiltonian is of great importance in quantum simulations. ...
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Symmetry in Quantum Optics Models

Lamata Manuel, Lucas (MDPI, 2019)