activity
20162023
most citedDynamic Portfolio Optimization with Real Datasets Using Quantum Processors and Quantum-Inspired Tensor Networks

127 citations · 160 across the 5 of their papers we have counts for

collaborators

5 papers

q-fin.CP2023★ 4 cited

Application of Tensor Neural Networks to Pricing Bermudan Swaptions

Raj G. Patel, Tomas Dominguez, Mohammad Dib +12

The Cheyette model is a quasi-Gaussian volatility interest rate model widely used to price interest rate derivatives such as European and Bermudan Swaptions for which Monte Carlo s…

quant-ph2023★ 15 cited

Multiobjective variational quantum optimization for constrained problems: an application to Cash Management

Pablo Díez-Valle, Jorge Luis-Hita, Senaida Hernández-Santana +6

Combinatorial optimization problems are ubiquitous in industry. In addition to finding a solution with minimum cost, problems of high relevance involve a number of constraints that…

quant-ph2020★ 127 cited

Dynamic Portfolio Optimization with Real Datasets Using Quantum Processors and Quantum-Inspired Tensor Networks

Samuel Mugel, Carlos Kuchkovsky, Escolastico Sanchez +4

In this paper we tackle the problem of dynamic portfolio optimization, i.e., determining the optimal trading trajectory for an investment portfolio of assets over a period of time,…

physics.optics2018★ 8 cited

Light induced "Mock Gravity" at the nanoscale

Jorge Luis-Hita, Manuel I. Marques, Rafael Delgado-Buscalioni +4

The origin of long-range attractive interactions has fascinated scientist along centuries. The remarkable Fatio-LeSage's corpuscular theory, introduced as early as in 1690 and gene…

cond-mat.supr-con2016★ 6 cited

Different approaches to generate matching effects using arrays in contact with superconducting films

J. del Valle, A. Gomez, J. Luis- Hita +3

Superconducting films in contact with non-superconducting regular arrays can exhibit commensurability effects between the vortex lattice and the unit cell of the pinning array. The…