pyquil VS mitiq

Compare pyquil vs mitiq and see what are their differences.

pyquil

A Python library for quantum programming using Quil. (by rigetti)

mitiq

Mitiq is an open source toolkit for implementing error mitigation techniques on most current intermediate-scale quantum computers. (by unitaryfund)
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pyquil mitiq
1 1
1,370 333
0.4% 2.4%
8.9 9.3
10 days ago 7 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.

pyquil

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

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 pyquil and mitiq you can also consider the following projects:

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

qvm - The high-performance and featureful Quil simulator.

openqasm - Quantum assembly language for extended quantum circuits

quilc - The optimizing Quil compiler.

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

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

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

qiskit-ibm-runtime - IBM Client for Qiskit Runtime

quantum-arch-search - Cirq/PyTorch implementation of Quantum Architecture Search via Deep Reinforcement Learning by (Kuo et al., 2021)