108 citations · 115 across the 4 of their papers we have counts for
4 papers
Variational Quantum Eigensolver for Real-World Finance: Scalable Solutions for Dynamic Portfolio Optimization Problems
Irene De León, Danel Arias, Manuel Martín-Cordero +9
We present a scalable, hardware-aware methodology for extending the Variational Quantum Eigensolver (VQE) to large, realistic Dynamic Portfolio Optimization (DPO) problems. Buildin…
Scaling the Variational Quantum Eigensolver for Dynamic Portfolio Optimization
Álvaro Nodar, Irene De León, Danel Arias +11
This work explores the potential of the Variational Quantum Eigensolver in solving Dynamic Portfolio Optimization problems surpassing the 100 qubit utility frontier. We systematica…
Privacy-preserving machine learning with tensor networks
Alejandro Pozas-Kerstjens, Senaida Hernández-Santana, José Ramón Pareja Monturiol +4
Tensor networks, widely used for providing efficient representations of low-energy states of local quantum many-body systems, have been recently proposed as machine learning archit…
Low-temperature thermometry can be enhanced by strong coupling
Luis A. Correa, Martí Perarnau-Llobet, Karen V. Hovhannisyan +3
We consider the problem of estimating the temperature of a very cold equilibrium sample. The temperature estimates are drawn from measurements performed on a quantum probe st…