pennylane VS mitiq

Compare pennylane vs mitiq 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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mitiq

Mitiq is an open source toolkit for implementing error mitigation techniques on most current intermediate-scale quantum computers. (by unitaryfund)
quantum-error-mitigation quantum-programming quantum-computers error-mitigation Qiskit cirq
Source Code
mitiq.readthedocs.io
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pennylane mitiq
3 1
2,124 335
1.9% 3.0%
9.8 9.3
5 days ago 4 days ago
Python Python
Apache License 2.0 GNU General Public License v3.0 only
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.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.

mitiq

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

What are some alternatives?

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

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

qiskit - Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.

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

openqasm - Quantum assembly language for extended quantum circuits

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.

qiskit-ibm-runtime - IBM Client for Qiskit Runtime

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

quil - Specification of Quil: A Practical Quantum Instruction Set Architecture

pennylane vs qiskit-ibm-provider mitiq vs qiskit pennylane vs ADCME.jl mitiq vs openqasm pennylane vs Cirq mitiq vs Cirq pennylane vs machine_learning_refined mitiq vs qiskit-ibm-provider pennylane vs d2l-en mitiq vs qiskit-ibm-runtime pennylane vs foolbox mitiq vs quil