This repository contains a collection of Jupyter Notebooks demonstrating various quantum computing concepts using Qiskit, a popular quantum computing framework.
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Updated
May 27, 2024 - Jupyter Notebook
This repository contains a collection of Jupyter Notebooks demonstrating various quantum computing concepts using Qiskit, a popular quantum computing framework.
Sandbox-environment to work with several quantum-computing packages.
Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.
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.
The Swiss Army Knife of Applied Quantum Technology
Tools for knitting quantum circuits with Qiskit
A programming model for leveraging quantum and classical resources
Mitiq is an open source toolkit for implementing error mitigation techniques on most current intermediate-scale quantum computers.
A library for machine learning and quantum programming based on pyRiemann and Qiskit projects
Aer is a high performance simulator for quantum circuits that includes noise models
Quantum Computing and Algorithms
A platform-agnostic quantum runtime framework
MPQP is a python library to create quantum circuits and run them on a multitude of backends from various providers.
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.
Qiskit-Braket provider to execute Qiskit programs on quantum computing hardware devices through Amazon Braket.
Code samples for the book "Quantum Programming In Depth: Solving Problems with Q# and Qiskit" by Mariia Mykhailova
Vector Embeddings for Quantum Mechanics
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