amazon-braket-examples
pennylane
amazon-braket-examples | pennylane | |
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3 | 3 | |
445 | 2,124 | |
1.8% | 1.9% | |
9.0 | 9.8 | |
7 days ago | 5 days ago | |
Python | Python | |
Apache License 2.0 | Apache License 2.0 |
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amazon-braket-examples
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Ask HN: How are quantum computing companies making money?
Amazon found a way to make money ;) https://aws.amazon.com/braket/
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Use AWS Bracket hardware with Qiskit Code
Did they add a plug-in for Qiskit? Last time I checked it was just penny lane and their own SDK. It’s pretty easy to convert code across platforms so you could just do that (see examples here https://github.com/aws/amazon-braket-examples)
- Example notebooks that show how to apply quantum computing in Amazon Braket
pennylane
- PennyLane: Python library for differentiable programming of quantum computers
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Library for Machine learning and quantum computing
Pennylane
- pennylane: PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network
What are some alternatives?
qiskit-ibm-provider - Qiskit Provider for accessing the IBM Quantum Services: Online Systems and Simulators
ADCME.jl - Automatic Differentiation Library for Computational and Mathematical Engineering
Cirq - A python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.
machine_learning_refined - Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).
d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
foolbox - A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
ivy - The Unified Machine Learning Framework [Moved to: https://github.com/unifyai/ivy]
qiskit-ibm-runtime - IBM Client for Qiskit Runtime
jaxopt - Hardware accelerated, batchable and differentiable optimizers in JAX.
mitiq - Mitiq is an open source toolkit for implementing error mitigation techniques on most current intermediate-scale quantum computers.
QMLDocker - A docker container for quantum machine learning (QML) research
cqasm_development_interface - Framework for writing and running cQASM files against any Quantum Inspire's emulator backend via their API