Statistical and computational intelligence approach to analytic continuation in Quantum Monte Carlo
Author:
Affiliation:
1. Dipartimento di Fisica, Università degli Studi di Milano, Milano, Italy.
2. Department of Physics, College of William and Mary, Williamsburg, VA, USA.
Funder
National Science Foundation
Ministero dell'Istruzione, dell'Università e della Ricerca
Università degli Studi di Milano
Publisher
Informa UK Limited
Subject
General Physics and Astronomy
Link
https://tandfonline.com/doi/pdf/10.1080/23746149.2017.1288585
Reference80 articles.
1. Quantum Field Theory and Critical Phenomena
2. Quantum Monte Carlo Methods
3. Extending the methodology of X-ray crystallography to allow imaging of micrometre-sized non-crystalline specimens
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