pennylane VS Cirq

Compare pennylane vs Cirq and see what are their differences.

Cirq

A python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits. (by quantumlib)
Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
pennylane Cirq
2 2
2,113 4,131
2.7% 1.2%
9.8 9.4
4 days ago 5 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.
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.

Cirq

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

What are some alternatives?

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

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

QuTiP - QuTiP: Quantum Toolbox in Python

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

qubo-nn - Classifying, auto-encoding and reverse-engineering QUBO matrices

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

mitiq - Mitiq is an open source toolkit for implementing error mitigation techniques on most current intermediate-scale quantum computers.

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.

pyquil - A Python library for quantum programming using Quil.

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

qBraid - A Python toolkit for cross-framework abstraction, transpilation, and execution of quantum programs.

ivy - The Unified Machine Learning Framework [Moved to: https://github.com/unifyai/ivy]

quantumcat - quantumcat is a platform-independent, open-source, high-level quantum computing library, which allows the quantum community to focus on developing platform-independent quantum applications without much effort.