Speaker
Nilmani Mathur
(Tata Institute of Fundamental Research)
Description
We introduce a novel quark smearing method designed to project the quark field onto a low-energy subspace efficiently. This smearing method is employed to compute sparse estimators of multi-hadron correlation functions. While the signal for the ground state is found to be the same as obtained from full correlation functions, the computational cost is drastically reduced. Furthermore, we implement these basis functions within exact and stochastic distillation frameworks. We show that both single- and multi-hadron correlation functions can efficiently be evaluated within this framework, yielding substantially reduced contraction costs and memory storage requirements without compromising signal quality.
Authors
Debsubhra Chakraborty
(Tata Institute of Fundamental Research)
Mrinmoy Basak
(Tata Institute of Fundamental Research)
Nilmani Mathur
(Tata Institute of Fundamental Research)