#Quantum-algorithms
Showing 13 of 13 repositories tagged #quantum-algorithms, ranked by stars
Python framework for creating, editing, and running Noisy Intermediate-Scale Quantum (NISQ) circuits.
An open-source Python framework for hybrid quantum-classical machine learning.
Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning
QPanda 2 is an open source quantum computing framework developed by OriginQC that can be used to build, run, and optimize quantum algorithms.
Extensible, Efficient Quantum Algorithm Design for Humans.
Strawberry Fields is a full-stack Python library for designing, simulating, and optimizing continuous variable (CV) quantum optical circuits.
Qᴜᴀʟᴛʀᴀɴ is a Python library for expressing and analyzing Fault Tolerant Quantum algorithms.
Tensor network based quantum software framework for the NISQ era
Distributed immutable data store with strong encryption and authentication
Research presentations, lectures, tutorials, and technical notes by Dr. Zlatko K. Minev
This repository consists of documentation regarding quantum machine learning (QML), covering both beginner's guides and advanced topics.
The Swiss Army Knife of Applied Quantum Technology (Experimental Tech)
Python (.py) and Jupyter notebook (.ipynb) implementations of Grover's Algorithm aka Quantum Search Algorithm for n qubits and m targets.