Artificial intelligence and its applications in quantum physics
Use of artificial intelligence in the study of quantum phase transitions
Probabilistic Planning Algorithms with Set-Valued Transitions
Grant number: | 13/22445-4 |
Support Opportunities: | Scholarships in Brazil - Scientific Initiation |
Start date: | December 01, 2013 |
End date: | July 31, 2014 |
Field of knowledge: | Physical Sciences and Mathematics - Computer Science |
Principal Investigator: | Fabio Gagliardi Cozman |
Grantee: | Fábio Tosetto Reale |
Host Institution: | Escola Politécnica (EP). Universidade de São Paulo (USP). São Paulo , SP, Brazil |
Abstract The objective of this work is to investigate phase transition phenomena for the probabilistic satisfiability problem (PSAT), using a new algorithm, recently developed by the advisor. The study will focus on problems with only two literals per clause (2-PSAT).This focus is due to the fact that phase transition is a well known phenomenon in (non-probabilistic) satisfiability problems in conjunctive normal form, with two literals (2-SAT). | |
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