Skip to content
Avatar

Highlights

  • Arctic Code Vault Contributor

Organizations

@XanaduAI @PennyLaneAI

Pinned

  1. PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.

    Python 606 175

  2. Strawberry Fields is a full-stack Python library for designing, simulating, and optimizing continuous variable (CV) quantum optical circuits.

    Python 434 103

  3. The electronic structure package for quantum computers.

    Python 1k 270

  4. This PennyLane plugin allows the Rigetti Forest QPUs, QVM, and wavefunction simulator to optimize quantum circuits.

    Python 26 17

  5. Introductions to key concepts in quantum machine learning, as well as tutorials and implementations from cutting-edge QML research.

    Python 110 33

  6. 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 …

    Python 182 57

2,649 contributions in the last year

Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep Oct Mon Wed Fri
Activity overview
Contributed to PennyLaneAI/pennylane, XanaduAI/strawberryfields, PennyLaneAI/qml and 5 other repositories
Loading

Contribution activity

October 2020

Created a pull request in PennyLaneAI/pennylane-qiskit that received 4 comments

Fix failing Qiskit test

The test TestConverterIntegration.test_gradient() is currently failing in the file test_converter.py. This PR fixes the test to ensure it passes. N…

+57 −3 4 comments

Created an issue in PennyLaneAI/pennylane-qiskit that received 10 comments

Allow transpilation options to be provided to Qiskit devices

The Qiskit transpile function accepts a wide range of options: https://qiskit.org/documentation/stubs/qiskit.compiler.transpile.html We should allo…

10 comments
21 contributions in private repositories Oct 3 – Oct 24

Seeing something unexpected? Take a look at the GitHub profile guide.

You can’t perform that action at this time.