Buscar
Mostrando ítems 1-10 de 12
Artículo
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 the time evolution of interest rates. Several stochastic dynamics have been proposed in the literature ...
Artículo
Quantum machine learning and quantum biomimetics: A perspective
(2632-2153, 2020-07)
Quantum machine learning has emerged as an exciting and promising paradigm inside quantum technologies. It may permit, on the one hand, to carry out more efficient machine learning calculations by means of quantum devices, ...
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 concepts from Machine Learning (ML), Quantum Computing (QC) and Quantum Information (QI). The great ...
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 state. Here, we propose a protocol to obtain an approximation of the eigenvectors of an arbitrary ...
Artículo
Deterministic single-photon source in the ultrastrong-coupling regime
(American Physical Society, 2023-09-01)
We propose a high-quality deterministic single-photon source which can not only works in the ultrastrong light-matter coupling regime, but also emits two single photons with an arbitrary time separation, in one excitation ...
Artículo
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 a great deal of interest due to, among other things, their relevance for quantum technologies. ...
Artículo
Quantum Brain Networks: A Perspective
(MDPI, 2022)
We propose Quantum Brain Networks (QBraiNs) as a new interdisciplinary field integratingknowledge and methods from neurotechnology, artificial intelligence, and quantum computing. Theobjective is to develop an enhanced ...
Artículo
Quantum Reinforcement Learning with Quantum Photonics
(MDPI, 2021-01)
Quantum machine learning has emerged as a promising paradigm that could accelerate machine learning calculations. Inside this field, quantum reinforcement learning aims at designing and building quantum agents that may ...
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. The extended Agassi model is an analytically solvable model including both short range pairing and ...
Artículo
Digital-analog quantum computation with arbitrary two-body Hamiltonians
(American Physical Society, 2024-03-14)
Digital-analog quantum computing is a computational paradigm which employs an analog Hamiltonian resource together with single-qubit gates to reach universality. Here, we design a new scheme which employs an arbitrary ...