Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
Projects in Awesome Lists by XanaduAI
A curated list of projects in awesome lists by XanaduAI .
https://github.com/XanaduAI/strawberryfields
Strawberry Fields is a full-stack Python library for designing, simulating, and optimizing continuous variable (CV) quantum optical circuits.
machine-learning quantum quantum-algorithms quantum-computing quantum-optics quantum-programming-language tensorflow
Last synced: 01 Aug 2024
https://github.com/xanaduai/strawberryfields
Strawberry Fields is a full-stack Python library for designing, simulating, and optimizing continuous variable (CV) quantum optical circuits.
machine-learning quantum quantum-algorithms quantum-computing quantum-optics quantum-programming-language tensorflow
Last synced: 03 Aug 2024
https://github.com/XanaduAI/quantum-neural-networks
This repository contains the source code used to produce the results presented in the paper "Continuous-variable quantum neural networks". Due to subsequent interface upgrades, these scripts will work only with Strawberry Fields version <= 0.10.0.
deep-learning machine-learning optimization photonics quantum quantum-computing quantum-machine-learning tensorflow
Last synced: 02 Aug 2024
https://github.com/XanaduAI/QMLT
The Quantum Machine Learning Toolbox (QMLT) is a Strawberry Fields application that simplifies the optimization of variational quantum circuits (also known as parametrized quantum circuits).
deep-learning machine-learning neural-network optimization quantum quantum-computing tensorflow
Last synced: 02 Aug 2024
https://github.com/XanaduAI/quantum-learning
This repository contains the source code used to produce the results presented in the paper "Machine learning method for state preparation and gate synthesis on photonic quantum computers".
machine-learning optimization photonics quantum quantum-computing quantum-machine-learning tensorflow
Last synced: 02 Aug 2024
https://github.com/XanaduAI/GradDFT
GradDFT is a JAX-based library enabling the differentiable design and experimentation of exchange-correlation functionals using machine learning techniques.
deep-learning density-functional-theory differentiable-computing flax jax pyscf python quantum-chemistry scientific-computing
Last synced: 02 Aug 2024