qsearch VS pennylane

Compare qsearch vs pennylane and see what are their differences.

qsearch

A compiler for quantum computers based on A* and numerical optimization. (by BQSKit)

pennylane

PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network. (by PennyLaneAI)
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qsearch pennylane
1 3
27 2,134
- 2.1%
0.0 9.8
over 1 year ago about 4 hours ago
Python Python
GNU General Public License v3.0 or later 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.

qsearch

Posts with mentions or reviews of qsearch. 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 qsearch and pennylane you can also consider the following projects:

quantum-benchmarks - benchmarking quantum circuit emulators for your daily research usage

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

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

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

openqaoa - Multi-backend SDK for quantum optimisation

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

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.

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

qBraid - A platform-agnostic quantum runtime framework

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]