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Found 9 papers, 0 papers with code
CompactifAI: Extreme Compression of Large Language Models using Quantum-Inspired Tensor Networks
Traditional compression methods such as pruning, distillation, and low-rank approximation focus on reducing the effective number of neurons in the network, while quantization focuses on reducing the numerical precision of individual weights to reduce the model size while keeping the number of neurons fixed.
Boosting Defect Detection in Manufacturing using Tensor Convolutional Neural Networks
Defect detection is one of the most important yet challenging tasks in the quality control stage in the manufacturing sector.
Application of Tensor Neural Networks to Pricing Bermudan Swaptions
The Cheyette model is a quasi-Gaussian volatility interest rate model widely used to price interest rate derivatives such as European and Bermudan Swaptions for which Monte Carlo simulation has become the industry standard.
Quantum-Inspired Tensor Neural Networks for Option Pricing
Recent advances in deep learning have enabled us to address the curse of dimensionality (COD) by solving problems in higher dimensions.
Financial Risk Management on a Neutral Atom Quantum Processor
In this work we propose a quantum-enhanced machine learning solution for the prediction of credit rating downgrades, also known as fallen-angels forecasting in the financial risk management field.
Quantum artificial vision for defect detection in manufacturing
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 classical counterparts.
Quantum-Inspired Tensor Neural Networks for Partial Differential Equations
We demonstrate that TNN provide significant parameter savings while attaining the same accuracy as compared to the classical Dense Neural Network (DNN).
Quantum Portfolio Optimization with Investment Bands and Target Volatility
In this paper we show how to implement in a simple way some complex real-life constraints on the portfolio optimization problem, so that it becomes amenable to quantum optimization algorithms.
Use Cases of Quantum Optimization for Finance
In this paper we briefly review two recent use-cases of quantum optimization algorithms applied to hard problems in finance and economy.
