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QuCumber

  • Openness:3 ★★★
  • Document quality:2 ★★☆

QuCumber is an open-source Python package that implements neural-network quantum state reconstruction of many-body wavefunctions from measurement data such as magnetic spin projections, orbital occupation number. Given a training dataset of measurements, QuCumber discovers the most likely quantum state compatible with the measurements by finding the optimal set of parameters of a restricted Boltzmann machine (RBM).

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Information
Last Update:2021/03/05

Official site

https://pypi.org/project/qucumber/

License

Apache License Version 2.0.
Availability Python >=3.5, <4
Core Developers the Perimeter Institute Quantum Intelligence Lab (PIQuIL)
Document Matthew J. S. Beach, Isaac De Vlugt, Anna Golubeva, Patrick Huembeli, Bohdan Kulchytskyy, Xiuzhe Luo, Roger G. Melko, Ejaaz Merali, Giacomo Torlai, "QuCumber: wavefunction reconstruction with neural networks", arXiv:1812.09329, 2018.
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