research
∙
08/24/2023
Parallel-in-time quantum simulation via Page and Wootters quantum time
In the past few decades, researchers have created a veritable zoo of qua...
share
research
∙
05/17/2023
Deep quantum neural networks form Gaussian processes
It is well known that artificial neural networks initialized from indepe...
research
∙
03/01/2023
On the universality of S_n-equivariant k-body gates
The importance of symmetries has recently been recognized in quantum mac...
research
∙
02/10/2023
Effects of noise on the overparametrization of quantum neural networks
Overparametrization is one of the most surprising and notorious phenomen...
research
∙
10/18/2022
Theoretical Guarantees for Permutation-Equivariant Quantum Neural Networks
Despite the great promise of quantum machine learning models, there are ...
research
∙
10/16/2022
Theory for Equivariant Quantum Neural Networks
Most currently used quantum neural network architectures have little-to-...
research
∙
10/14/2022
Representation Theory for Geometric Quantum Machine Learning
Recent advances in classical machine learning have shown that creating m...
research
∙
05/04/2022
Group-Invariant Quantum Machine Learning
Quantum Machine Learning (QML) models are aimed at learning from data en...
research
∙
09/23/2021