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".
This project helps quantum researchers and engineers design specific quantum states and logical gates for photonic quantum computers. By inputting a desired quantum state or gate description, it automatically configures and optimizes a variational quantum circuit. The output includes the parameters for the optimized circuit, along with plots comparing the target and achieved states or gates.
119 stars. No commits in the last 6 months.
Use this if you are a quantum computing researcher or engineer working with photonic quantum systems and need to efficiently prepare specific quantum states or synthesize custom quantum gates.
Not ideal if you are looking for a general-purpose quantum simulation tool or are not specifically working with continuous-variable photonic quantum computing.
Stars
119
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38
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Jul 10, 2019
Commits (30d)
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