Toward Prediction of Financial Crashes with a D-Wave Quantum Annealer

Toward Prediction of Financial Crashes with a D-Wave Quantum Annealer

The prediction of financial crashes in a complex financial network is known to be an NP-hard problem, which means that no known algorithm can efficiently find optimal solutions. We experimentally explore a novel approach to this problem by using a D-Wave quantum annealer, benchmarking its performanc...

Full description

Bibliographic Details
Main Authors: Yongcheng Ding, Javier Gonzalez-Conde, Lucas Lamata, José D. Martín-Guerrero, Enrique Lizaso, Samuel Mugel, Xi Chen, Román Orús, Enrique Solano, Mikel Sanz
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Entropy
Subjects:
quantum computation
financial networks
adiabatic quantum optimization
Online Access:https://www.mdpi.com/1099-4300/25/2/323

Internet

https://www.mdpi.com/1099-4300/25/2/323

Similar Items