blqs VS pennylane

Compare blqs vs pennylane and see what are their differences.

blqs

Python building blocks for quantum computing and domain specific languages. (by ionq)
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blqs pennylane
1 3
34 2,124
- 1.9%
3.2 9.8
6 months ago about 23 hours 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.

blqs

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

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.

What are some alternatives?

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

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.

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

cqasm_development_interface - Framework for writing and running cQASM files against any Quantum Inspire's emulator backend via their API

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.