Jean Kossaifi

Towards a scalable discrete quantum generative adversarial neural network

2023 · Quantum Science and Technology

Abstract Quantum generative adversarial networks (QGANs) have been studied in the context of quantum machine learning for several years, but there has not been yet a proposal for a fully QGAN with both, a quantum …

Fourier neural operators for learning dynamics in quantum spin systems

2026 · Communications Physics

Abstract Fourier Neural Operators (FNOs) excel on functional data tasks, such as those originating from partial differential equations. This renders them effective at simulating the time evolution of quantum wavefunctions, a computationally challenging, yet coveted …

A Library for Learning Neural Operators

2024 · arXiv (Cornell University)

We present NeuralOperator, an open-source Python library for operator learning. Neural operators generalize neural networks to maps between function spaces instead of finite-dimensional Euclidean spaces. They can be trained and inferenced on input and output …