Neural-Network Quantum States for Nuclear Matter
© 2021 American Physical Society
The first application of neural-network quantum states to nuclear matter has been published in Physical Review Letters, in a collaboration between CQSL and Argonne National Laboratory, in Chicago.
A collaboration between CQSL and Argonne has shown that machine learning techniques developed to study many-body quantum problems in condensed matter and quantum computing can also be succesfully applied to nuclear matter.
References
Corey Adams, Giuseppe Carleo, Alessandro Lovato, and Noemi Rocco, Phys. Rev. Lett. 127, 022502, (2021)