673 citations · 964 across the 19 of their papers we have counts for
6 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 Risk Management on a Neutral Atom Quantum Processor
Lucas Leclerc, Luis Ortiz-Guitierrez, Sebastian Grijalva +19
Machine Learning models capable of handling the large datasets collected in the financial world can often become black boxes expensive to run. The quantum computing paradigm sugges…
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…
Multi-disk clutch optimization using quantum annealing
John D. Malcolm, Alexander Roth, Mladjan Radic +5
In this work, we develop a new quantum algorithm to solve a combinatorial problem with significant practical relevance occurring in clutch manufacturing. It is demonstrated how qua…
Quantum artificial vision for defect detection in manufacturing
Daniel Guijo, Victor Onofre, Gianni Del Bimbo +7
In this paper we consider several algorithms for quantum computer vision using Noisy Intermediate-Scale Quantum (NISQ) devices, and benchmark them for a real problem against their…