The library is developed for simulating open quantum systems via a probabilistic formulation with autoregressive neural network.
The code for the work [Autoregressive Neural Network for Simulating Open Quantum Systems via a Probabilistic Formulation] (https://arxiv.org/abs/2009.05580, https://journals.aps.org/prl/pdf/10.1103/PhysRevLett.128.090501) was developed primarily by Di Luo and Zhuo Chen under the guidance of PI Bryan Clark. The Transformer Model in the code was co-developed with Felipe Perez and Maks Volkovs from Layer 6 AI as part of the work Probabilistic simulation of quantum circuits using a deep-learning architecture. The ncon.py in the code is based on https://github.com/mhauru/ncon/blob/master/src/ncon/ncon.py.
Di Luo*, Zhuo Chen*, Juan Carrasquilla, and Bryan K. Clark, Autoregressive Neural Network for Simulating Open Quantum Systems via a Probabilistic Formulation. Phys. Rev. Lett. 128, 090501.