no code implementations • 11 Jan 2021 • Javier Gonzalez-Conde, Ángel Rodríguez-Rozas, Enrique Solano, Mikel Sanz
Here, we present a digital quantum algorithm to solve Black-Scholes equation on a quantum computer by mapping it to the Schr\"odinger equation.
Quantum Physics General Finance Pricing of Securities
no code implementations • 9 Jul 2020 • Ruben Ibarrondo, Mikel Sanz, Roman Orus
We show that the problem of political forecasting, i. e, predicting the result of elections and referendums, can be mapped to finding the ground state configuration of a classical spin system.
Combinatorial Optimization Sentiment Analysis Physics and Society Statistical Mechanics Quantum Physics
no code implementations • 16 Jun 2019 • Tasio Gonzalez-Raya, Enrique Solano, Mikel Sanz
We study the behavior of both ion channel conductivities and the circuit voltage, and we compare the results with those of the single channel, for a given quantum state of the source.
1 code implementation • 11 Apr 2019 • Ana Martin, Bruno Candelas, Ángel Rodríguez-Rozas, José D. Martín-Guerrero, Xi Chen, Lucas Lamata, Román Orús, Enrique Solano, Mikel Sanz
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.
Quantum Physics Mesoscale and Nanoscale Physics
no code implementations • 27 Jul 2018 • Yongcheng Ding, Lucas Lamata, Mikel Sanz, Xi Chen, Enrique Solano
Quantum autoencoders allow for reducing the amount of resources in a quantum computation by mapping the original Hilbert space onto a reduced space with the relevant information.
no code implementations • 27 Jul 2018 • Tasio Gonzalez-Raya, Xiao-Hang Cheng, Iñigo L. Egusquiza, Xi Chen, Mikel Sanz, Enrique Solano
This reduced version is essentially a classical memristor, a resistor whose resistance depends on the history of electric signals that have crossed it, coupled to a voltage source and a capacitor.
no code implementations • 13 Jul 2018 • Francisco Silva, Mikel Sanz, João Seixas, Enrique Solano, Yasser Omar
Memristors, resistors with memory whose outputs depend on the history of their inputs, have been used with success in neuromorphic architectures, particularly as synapses and non-volatile memories.