torchquad VS pennylane

Compare torchquad vs pennylane and see what are their differences.

torchquad

Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX (by esa)
Python GPU Pytorch torchquad numerical-integration multidimensional-integration Integration automatic-differentiation high-performance-computing monte-carlo-integration vegas vegas-enhanced Machine Learning
Source Code
esa.int
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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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torchquad pennylane
1 3
164 2,124
5.5% 1.9%
5.8 9.8
15 days ago 1 day ago
Python Python
GNU General Public License v3.0 only 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.

torchquad

Posts with mentions or reviews of torchquad. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-17.
  • what methods can be used to solve a TP-BVP with variable control?
    3 projects | /r/optimization | 17 Feb 2023
    What about combining a fast numerical integrator like https://github.com/esa/torchquad or https://github.com/AnyarInc/Ascent with a fast parallel CMA-ES implementation like https://github.com/dietmarwo/fast-cma-es/blob/master/fcmaes/cmaescpp.py ? A numerical integrator allows you to implement variable control and a fast non-derivative optimizer can solve any related optimization problem.

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 torchquad and pennylane you can also consider the following projects:

ivy - The Unified AI Framework

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

fast-cma-es - A Python 3 gradient-free optimization library

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

Ascent - A fast and flexible C++ simulation engine and differential equation solver.

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

tf-quant-finance - High-performance TensorFlow library for quantitative finance.

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

pyhpc-benchmarks - A suite of benchmarks for CPU and GPU performance of the most popular high-performance libraries for Python :rocket:

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]

torchquad vs ivy pennylane vs qiskit-ibm-provider torchquad vs fast-cma-es pennylane vs ADCME.jl torchquad vs Ascent pennylane vs Cirq torchquad vs tf-quant-finance pennylane vs machine_learning_refined torchquad vs pyhpc-benchmarks pennylane vs d2l-en pennylane vs foolbox pennylane vs ivy