Machine Learning

September 2021
Short Quantum Circuits in Reinforcement Learning Policies for the Vehicle Routing Problem
September 2021
Medical image classification via quantum neural networks
August 2021
Nearest Centroid Classification on a Trapped Ion Quantum Computer
Quantum Spectral Clustering
Quantum algorithms for Second-Order Cone Programming and Support Vector Machines
Low depth algorithms for quantum amplitude estimation
Prospects and challenges of quantum finance
Quantum classification of the MNIST dataset via Slow Feature Analysis
Quantum Algorithms for Deep Convolutional Neural Networks
Quantum Expectation-Maximization for Gaussian Mixture Models
February 2020
Quantum gradient descent for linear systems and least squares
December 2019
q-means: A quantum algorithm for unsupervised machine learning
December 2018
Quantum algorithms for feedforward neural networks
September 2021
Improving quantum linear system solvers via a gradient descent perspective
Classical and Quantum Algorithms for Orthogonal Neural Networks
February 2021
Experimental demonstration of quantum advantage for NP verification with limited information
September 2016
Quantum Recommendation Systems
January 2022
Quantum machine learning with subspace states
Quantum Reinforcement Learning via Policy Iteration
September 2022
Quantum Vision Transformers
December 2022
Quantum Methods for Neural Networks and Application to Medical Image Classification
A quantum spectral method for simulating stochastic processes, with applications to Monte Carlo
Quantum Deep Hedging
Improved clinical data imputation via classical and quantum determinantal point processes
Improved Financial Forecasting via Quantum Machine Learning
Quantum Fourier Networks for Solving Parametric PDEs