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conan.io reStructuredText documentation

hybridq icon hybridq

HybridQ is a highly extensible platform designed to provide a common framework to integrate multiple state-of-the-art techniques to simulate large scale quantum circuits on a variety of hardware. HybridQ provides tools to manipulate, develop, and extend noiseless and noisy circuits for different hardware architectures. HybridQ also supports large-scale high-performance computing (HPC) simulations, automatically balancing workload among different processor nodes and enabling the use of multiple backends to maximize parallel efficiency. Everything is then glued together by a simple and expressive language that allows seamless switching from one technique to another as well as from one hardware to the next, without the need to write lengthy translations, thus greatly simplifying the development of new hybrid algorithms and techniques.

pybind11 icon pybind11

Seamless operability between C++11 and Python

pyquil icon pyquil

A Python library for quantum programming using Quil.

qpanda-2 icon qpanda-2

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

qpanda-lite icon qpanda-lite

A python-native version for pyqpanda. Simple, easy, and transparent.

rqc icon rqc

random quantum circuit simulation using PEPS

stim icon stim

A fast stabilizer circuit library.

tensorflow icon tensorflow

An Open Source Machine Learning Framework for Everyone

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