586 Open source projects that are alternatives of or similar to Quantum Neural Networks

PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.

This repository contains the source code used to produce the results presented in the paper "Machine learning method for state preparation and gate synthesis on photonic quantum computers".

The Quantum Machine Learning Toolbox (QMLT) is a Strawberry Fields application that simplifies the optimization of variational quantum circuits (also known as parametrized quantum circuits).

Quantum Computation Simulator written in golang

Quantum algorithms built using pyQuil.

OpenJij : Framework for the Ising model and QUBO.

This repository contains the best resources for learning practical quantum computing. This repository will be updated frequently.

Rules and information for the 2021 unitaryHACK event hosted by @unitaryfund

A framework for quantum computing with hardware acceleration.

Quantum Circuit Simulator implemented in JavaScript

High Performance Tools for Quantum Computing

Microsoft Quantum Computing Libraries for noncommercial use

Quantum Computer Library for Everyone

benchmarking quantum circuit emulators for your daily research usage

A modern C++11 quantum computing library

A Quantum Interconnect Simulator for Distributed Quantum Algorithms

Quantum Computation Language port from http://tph.tuwien.ac.at/~oemer/qcl.html

Quantum computing in your browser.

Samples related to "Quantum Computing for Java Developers"

Q# libraries for the Quantum Development Kit

Microsoft Quantum Development Kit Samples

Companion site for the textbook Quantum Computing: An Applied Approach

QuTiP: Quantum Toolbox in Python

Simulations of photonic quantum programmable gate arrays

Comprehensive, GPU accelerated framework for developing universal virtual quantum processors

A curated list of awesome quantum computing learning and developing resources.

Quantum emulator of the IBM Quantum experience

C++ simulator of quantum registers and quantum algorithms

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

Companion code for Learn Quantum Computing with Python and Q# Book by Dr. Sarah Kaiser and Dr. Chris Granade 💖

Strawberry Fields is a full-stack Python library for designing, simulating, and optimizing continuous variable (CV) quantum optical circuits.

⚛ 10 week Practical Course on Quantum Information Science and Quantum Computing - with Qiskit and IBMQX

QPanda 2 is an open source quantum computing framework developed by OriginQC that can be used to build, run, and optimize quantum algorithms.

Repo of resources to help learn about quantum computing.

A collection of resources for Quantum Computing

A program that implements the portfolio optimization experiments using a hybrid quantum computing algorithm from arXiv:1911.05296. The code was developed as part of the 2020 Quantum mentorship program. Many thanks to my mentor Guoming Wang from Zapata Computing!

A Well Maintained Repository On Quantum Computing Resources [Code+Theory] Updated Regularly During My Time At IBM, Qubit x Qubit And The Coding School's Introduction To Quantum Computing Course '21

Powerful, automated analysis and design of quantum microwave chips & devices [Energy-Participation Ratio and more]

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

A python library for quantum information and many-body calculations including tensor networks.

Mathematical tools (interpolation, dimensionality reduction, optimization, etc.) written in C++11 with Eigen

A Julia/JuMP Package for Power Network Optimization

🚵 a Journey of Performance Optimizing in Frontend 🚀

A CLI React performance optimization tool that identifies potential unnecessary re-rendering

Bayesian optimization for Python

Examples of C# code compiled to GPU by hybridizer

Sparse Optimisation Research Code

A collection of pre-trained RL agents using Stable Baselines3, training and hyperparameter optimization included.

A hyperparameter optimization and data collection toolbox for convenient and fast prototyping of machine-learning models.

An abstraction layer for mathematical optimization solvers.

svg path sorter for more efficient (pen)plotting.

Operator Discretization Library https://odlgroup.github.io/odl/

Rust numeric library with R, MATLAB & Python syntax

AI constraint solver in Java to optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling, conference scheduling and other planning problems.

Python module for interfacing with the CQC t|ket> library of quantum software

On-device Neural Engine

papers on scalable and efficient machine learning systems

Access v8 Engine Natives easily in Chrome & Node

Gradient based hyperparameter optimization & meta-learning package for TensorFlow

Aircraft design optimization made fast through modern automatic differentiation. Plug-and-play analysis tools for aerodynamics, propulsion, structures, trajectory design, and much, much more.