2 citations · 2 across the 4 of their papers we have counts for
4 papers · 1 filter
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…
Quantum feature encoding optimization
Tommaso Fioravanti, Brian Quanz, Gabriele Agliardi +3
Quantum Machine Learning (QML) holds the promise of enhancing machine learning modeling in terms of both complexity and accuracy. A key challenge in this domain is the encoding of…
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…
Differential Evolution VQE for Crypto-currency Arbitrage. Quantum Optimization with many local minima
Gines Carrascal, Beatriz Roman, Guillermo Botella +1
Crypto-currency markets are known to exhibit inefficiencies, which presents opportunities for profitable cyclic transactions or arbitrage, where one currency is traded for another…