Tools for knitting quantum circuits with Qiskit
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Updated
May 9, 2024 - Python
Quantum computing is a field of computing that uses quantum phenomena such as superposition and entanglement to perform operations on data. It is a rapidly growing field with potential applications in fields such as cryptography, chemistry, and optimization. Quantum computers can solve certain problems much faster than classical computers. Various programming languages such as Q#, Python and C++ can be used to write quantum algorithms to be run on quantum computers. The development of quantum computers is an active area of research and engineering.
Tools for knitting quantum circuits with Qiskit
summaries of all the papers I read
A django package that couples together quantum hardware and endusers
Azure Quantum Development Kit, including the Q# programming language, resource estimator, and Quantum Katas
The PennyLane-Lightning plugin provides a fast state-vector simulator written in C++ for use with PennyLane
Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.
C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
A python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.
Source code for the book "Quantum Computing for Programmers", Cambridge University Press
The Ecosystem consists of projects, tools, utilities, libraries and tutorials from a broad community of developers and researchers. The goal of the Ecosystem is to recognize, support and accelerate development of quantum technologies using Qiskit.
A programming model for leveraging quantum and classical resources
QuTiP: Quantum Toolbox in Python
lambdaQ - a functional quantum programming language.
The Swiss Army Knife of Applied Quantum Technology
QuEra's Neutral Atom SDK for Analog QPUs
PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.
Example for a using sqooler with labscript
Comprehensive, GPU accelerated framework for developing universal virtual quantum processors
This repository contains the research papers, white papers, thesis etc that I love.
This is a template for a number of quantum simulators
Created by Richard Feynman and Yuri Manin