research
∙
03/16/2023
Challenges and Opportunities in Quantum Machine Learning
At the intersection of machine learning and quantum computing, Quantum M...
share
research
∙
06/09/2022
Provably efficient variational generative modeling of quantum many-body systems via quantum-probabilistic information geometry
The dual tasks of quantum Hamiltonian learning and quantum Gibbs samplin...
research
∙
05/04/2022
Group-Invariant Quantum Machine Learning
Quantum Machine Learning (QML) models are aimed at learning from data en...
research
∙
03/11/2021
A semi-agnostic ansatz with variable structure for quantum machine learning
Quantum machine learning (QML) offers a powerful, flexible paradigm for ...
research
∙
03/06/2020
TensorFlow Quantum: A Software Framework for Quantum Machine Learning
We introduce TensorFlow Quantum (TFQ), an open source library for the ra...
research
∙
10/04/2019
Quantum Hamiltonian-Based Models and the Variational Quantum Thermalizer Algorithm
We introduce a new class of generative quantum-neural-network-based mode...
research
∙
09/26/2019
Quantum Graph Neural Networks
We introduce Quantum Graph Neural Networks (QGNN), a new class of quantu...
research
∙
07/11/2019
