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quant-ph2025
Variational Quantum Eigensolver for Real-World Finance: Scalable Solutions for Dynamic Portfolio Optimization Problems
Irene De León, Danel Arias, Manuel MartÃn-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…
quant-ph2025
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…
quant-ph2025
Scaling the Variational Quantum Eigensolver for Dynamic Portfolio Optimization
Ãlvaro 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…