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Algorithmic design for and study of strongly correlated matter

Implementing Organization

Indian Institute Of Technology Bombay (IITB), Maharashtra
Principal Investigator
Dr. Sumiran Pujari
Indian Institute Of Technology Bombay (IITB), Maharashtra

Project Overview

This project comprises of algorithmic approaches to the study of quantum magnets which comes under the broader area of strongly correlated quantum matter. One achievable goal is to characterize the computational performance of the resummed stochastic series expansion method developed recently by Desai and Pujari (Phys. Rev. B 104, L060406 (2021)) vs. the standard stochastic series expansion method pioneered by Sandvik while simulating quantum paramagnetic phases with non-trivial quantum entanglement properties at finite temperatures. In particular, the project will compare these algorithms' performance in simulating finite temperature phase transitions out of spin-1/2 quantum paramagnetic phases such as valence bond solids and higher-spin variants. Another goal is to attempt to make some progress on the simulation of canonical geometrically frustrated magnets like the triangular or Kagome lattice quantum antiferromagnet that is severely afflicted by the so-called sign problem while using the existing algorithms.

Source

Source
Science and Engineering Research Board (SERB), DST 2022-23
Funding Organization
Quick Information
Area of Research
Physical Sciences
Focus Area
Theoretical Sciences
Start Date
2023
End Date
2026
Status
Ongoing
Contact
sumiran@phy.iitb.ac.in
Output
No. of Research Paper
00
Technologies (If Any)
00
No. of PhD Produced
00
Publications
00
No. of Patents
Filed : 00
Grant : 00
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