Floquet quantum multiparameter estimation with periodic-driving-induced topological phase transition

TL;DR

This paper develops a Floquet theory-based quantum multiparameter estimation method for periodically driven systems, demonstrating enhanced precision near topological phase transitions in a Rashba spin-orbit model.

Contribution

It introduces a Floquet framework for quantum multiparameter estimation applicable to general time-periodic systems, overcoming limitations of static effective Hamiltonian approaches.

Findings

Enhanced estimation precision near topological phase transition boundary.

Heisenberg limit scaling and higher in parameter estimation.

Oscillatory vanishing of measurement incompatibility.

Abstract

Periodically driven systems provide a powerful platform for quantum multiparameter estimation. Constructing a static effective Hamiltonian in a proper rotating frame is commonly employed to assess the attainable precision. However, such an approach becomes nonfeasible for more general time-periodically driven systems. To tackle this dilemma, we develop a quantum multiparameter estimation strategy in the Floquet theory framework. The contributions of Floquet eigenmodes, quasienergies, and multi-photon processes to the quantum Fisher information matrix and measurement incompatibility are determined, respectively. Moreover, this approach is applied to a ring-shaped Rashba spin-orbit interferometer model exhibiting the topological phase transition (TPT). In the vicinity of the TPT boundary, we reveal a pronounced enhancement in the estimation precision of multiple parameters with the Heisenberg limit scaling and even higher. Meanwhile, the measurement incompatibility vanishes in an oscillatory manner, and the stroboscopic projective measurement enables the highest estimation precision achievable. This work provides a complete Floquet picture for time-dependent critical quantum multiparameter estimation.