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04/18/2023
Application of Tensor Neural Networks to Pricing Bermudan Swaptions
The Cheyette model is a quasi-Gaussian volatility interest rate model wi...
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04/13/2023
Improving Gradient Methods via Coordinate Transformations: Applications to Quantum Machine Learning
Machine learning algorithms, both in their classical and quantum version...
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12/28/2022
Quantum-Inspired Tensor Neural Networks for Option Pricing
Recent advances in deep learning have enabled us to address the curse of...
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12/06/2022
Financial Risk Management on a Neutral Atom Quantum Processor
Machine Learning models capable of handling the large datasets collected...
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08/24/2022
Financial Index Tracking via Quantum Computing with Cardinality Constraints
In this work, we demonstrate how to apply non-linear cardinality constra...
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08/09/2022
Quantum artificial vision for defect detection in manufacturing
In this paper we consider several algorithms for quantum computer vision...
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08/03/2022
Quantum-Inspired Tensor Neural Networks for Partial Differential Equations
Partial Differential Equations (PDEs) are used to model a variety of dyn...
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06/20/2022
Variational Quantum and Quantum-Inspired Clustering
Here we present a quantum algorithm for clustering data based on a varia...
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06/30/2020
Dynamic Portfolio Optimization with Real Datasets Using Quantum Processors and Quantum-Inspired Tensor Networks
In this paper we tackle the problem of dynamic portfolio optimization, i...
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10/01/2017
Mathematical foundations of matrix syntax
Matrix syntax is a formal model of syntactic relations in language. The ...
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08/04/2017
