tensorcircuit/tensorcircuit-ng
The next-gen AI-native tensor-network-based quantum software framework
This framework helps quantum computing researchers and scientists simulate complex quantum circuits and algorithms with high efficiency. You input descriptions of quantum circuits, neural networks, or tensor networks, and it outputs simulated quantum states, expectation values, or gradients. It's designed for those working on large-scale simulations of quantum-classical hybrid systems and variational quantum algorithms.
Available on PyPI.
Use this if you need to simulate and develop advanced quantum algorithms or quantum-classical hybrid systems, especially for research requiring automatic differentiation, hardware acceleration, or distributed training.
Not ideal if you are looking for a simple tool for basic quantum circuit visualization or a platform solely focused on classical machine learning without quantum integration.
Stars
58
Forks
15
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 13, 2026
Commits (30d)
0
Dependencies
4
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