Sandbox-environment to work with several quantum-computing packages.
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Updated
May 20, 2024 - Python
Sandbox-environment to work with several quantum-computing packages.
The Swiss Army Knife of Applied Quantum Technology
Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.
Aer is a high performance simulator for quantum circuits that includes noise models
Mitiq is an open source toolkit for implementing error mitigation techniques on most current intermediate-scale quantum computers.
The Grand Complete Dynamic Circuits Guide With Videos And Materials
Python implementation of Grover's Algorithm aka Quantum Search Algorithm for n qubits and m targets.
Quantum Computing Algorithms
This repository includes some personal codes I wrote while pursuing a Master Degree in Theoretical Physics.
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.
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.
Study resources for learning quantum computing
A programming model for leveraging quantum and classical resources
A platform-agnostic quantum runtime framework
A collection of Python samples demonstrating how to get started with IonQ using various quantum frameworks
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