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Implementation of a Hybrid Classical-Quantum Annealing Algorithm for Logistic Network Design
Yongcheng Ding, Xi Chen, Lucas Lamata +2
The logistic network design is an abstract optimization problem that, under the assumption of minimal cost, seeks the optimal configuration of the supply chain's infrastructures an…
Quantum Advantage in Cryptography with a Low-Connectivity Quantum Annealer
Feng Hu, Lucas Lamata, Chao Wang +3
The application in cryptography of quantum algorithms for prime factorization fostered the interest in quantum computing. However, quantum computers, and particularly quantum annea…
Digital-analog quantum algorithm for the quantum Fourier transform
Ana Martin, Lucas Lamata, Enrique Solano +1
Quantum computers will allow calculations beyond existing classical computers. However, current technology is still too noisy and imperfect to construct a universal digital quantum…
Reinforcement learning for semi-autonomous approximate quantum eigensolver
F. Albarrán-Arriagada, J. C. Retamal, E. Solano +1
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…
Towards Pricing Financial Derivatives with an IBM Quantum Computer
Ana Martin, Bruno Candelas, Ángel Rodríguez-Rozas +6
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 d…
Towards Prediction of Financial Crashes with a D-Wave Quantum Computer
Yongcheng Ding, Javier Gonzalez-Conde, Lucas Lamata +7
Prediction of financial crashes in a complex financial network is known to be an NP-hard problem, which means that no known algorithm can guarantee to find optimal solutions effici…