pennylane VS jaxopt

Compare pennylane vs jaxopt and see what are their differences.

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. (by PennyLaneAI)
Quantum Machine Learning Deep Learning neural-network Optimization quantum-computing quantum-machine-learning automatic-differentiation Tensorflow Pytorch Autograd Qiskit cirq strawberryfields differentiable-computing quantum-chemistry Qml Jax Python HacktoberFest
Source Code
pennylane.ai
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jaxopt

Hardware accelerated, batchable and differentiable optimizers in JAX. (by google)
Jax Optimization Deep Learning differentiable-programming bi-level
Source Code
jaxopt.github.io
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pennylane jaxopt
2 1
2,113 888
2.7% 1.6%
9.8 7.8
4 days ago 3 days ago
Python Python
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

pennylane

Posts with mentions or reviews of pennylane. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-27.

jaxopt

Posts with mentions or reviews of jaxopt. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing pennylane and jaxopt you can also consider the following projects:

qiskit-ibm-provider - Qiskit Provider for accessing the IBM Quantum Services: Online Systems and Simulators

jax - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

ADCME.jl - Automatic Differentiation Library for Computational and Mathematical Engineering

einops - Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

Cirq - A python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.

pyprobml - Python code for "Probabilistic Machine learning" book by Kevin Murphy

machine_learning_refined - Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).

torchopt - TorchOpt is an efficient library for differentiable optimization built upon PyTorch.

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.

datasets - TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...

foolbox - A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

PyNeuraLogic - PyNeuraLogic lets you use Python to create Differentiable Logic Programs

pennylane vs qiskit-ibm-provider jaxopt vs jax pennylane vs ADCME.jl jaxopt vs einops pennylane vs Cirq jaxopt vs pyprobml pennylane vs machine_learning_refined jaxopt vs torchopt pennylane vs d2l-en jaxopt vs datasets pennylane vs foolbox jaxopt vs PyNeuraLogic