Research

Mathematical Sciences

Title :

Statistical Physics and Algorithms

Area of research :

Mathematical Sciences

Focus area :

Statistical Physics

Principal Investigator :

Dr. Piyush Srivastava, Tata Institute of Fundamental Research (TIFR), Maharashtra

Timeline Start Year :

2024

Timeline End Year :

2027

Contact info :

Details

Executive Summary :

The study aims to investigate the relationship between Markov chain Monte Carlo, correlation decay, and the Lee-Yang formalism of complex roots of partition functions to solve special cases of the "sign problem." Special cases include the independence polynomial with negative weights and the permanents of positive semi-definite matrices, which have connections to physics and can be algorithmically tractable. The study also addresses the conceptual problem of understanding the power of randomness in approximate counting algorithms.

Total Budget (INR):

6,60,000

Organizations involved