4 citations · 16 across the 6 of their papers we have counts for
3 papers · 1 filter
Quantum-Inspired Tensor Neural Networks for Option Pricing
Raj G. Patel, Chia-Wei Hsing, Serkan Sahin +12
Recent advances in deep learning have enabled us to address the curse of dimensionality (COD) by solving problems in higher dimensions. A subset of such approaches of addressing th…
Financial Index Tracking via Quantum Computing with Cardinality Constraints
Samuel Palmer, Konstantinos Karagiannis, Adam Florence +4
In this work, we demonstrate how to apply non-linear cardinality constraints, important for real-world asset management, to quantum portfolio optimization. This enables us to tackl…
Quantum-Inspired Tensor Neural Networks for Partial Differential Equations
Raj Patel, Chia-Wei Hsing, Serkan Sahin +11
Partial Differential Equations (PDEs) are used to model a variety of dynamical systems in science and engineering. Recent advances in deep learning have enabled us to solve them in…