Quantum information and computation (QIC) holds transformative potential across fields such as physics, chemistry, computer science, and finance, providing innovative computational and theoretical tools to tackle complex challenges. In physics and chemistry, QIC is particularly impactful: quantum computers enable efficient simulations of complex many-body systems, while quantum information tools - such as entanglement entropy and complexity - offer new frameworks for exploring various novel physical phenomena.

Periodically driven (Floquet) systems exhibit various non-equilibrium phenomena - such as time crystals, dynamical quantum phase transitions, and Floquet topological phases - that lack equilibrium analogs and cannot occur in static systems. Studying these systems is more challenging than their equilibrium counterparts. Therefore, the powerful tools offered by QIC could be invaluable in exploring these phenomena and even uncovering yet-to- be-discovered effects. Additionally, beyond the use of periodic drive in noise reduction and control, the intrinsic properties of Floquet systems provide promising avenues for enhancing hardware resilience against noise . This mutually beneficial relationship, where tools from QIC aid in exploring non-equilibrium phenomena and insights from driven many-body systems inform the development of robust quantum hardware, warrants deeper exploration.

My research aims to bridge the gap between QIC and periodically driven many-body systems. I focus on investigating diverse non-equilibrium phenomena in these systems and developing quantum algorithms for their simulation. Through this interdisciplinary approach, my work advances our understanding of non-equilibrium phenomena and use of periodic drive in QIC.