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[Paper Review] Optimized Quantum Steering and Exceptional Points

Parveen Kumar, Heinrich-Gregor Zirnstein|arXiv (Cornell University)|Jan 18, 2021
Quantum many-body systems50 references4 citations
TL;DR

This paper demonstrates that any pure or mixed quantum state can be optimally steered using weak blind measurements combined with a system Hamiltonian, where the optimization is governed by Liouvillian exceptional points. It reveals a phase transition between relaxational (second-order EP) and oscillatory (third-order EP) dynamics depending on target state purity.

ABSTRACT

The state of a quantum system may be steered towards a predesignated target state, employing a sequence of weak $ extit{blind}$ measurements (where the detector's readouts are traced out). Here we analyze the steering of a two-level system using the interplay of a system Hamiltonian and weak measurements, and show that $ extit{any}$ pure or mixed state can be targeted. We show that the optimization of such a steering protocol is underlain by the presence of Liouvillian exceptional points. More specifically, for high purity target states, optimal steering implies purely relaxational dynamics marked by a second-order exceptional point, while for low purity target states, it implies an oscillatory approach to the target state. The phase transition between these two regimes is characterized by a third-order exceptional point.

Motivation & Objective

  • To investigate how weak blind measurements and system Hamiltonians can steer a two-level quantum system toward any target state.
  • To identify the role of exceptional points in the Liouvillian spectrum in enabling optimal state steering.
  • To characterize the dynamical regimes—relaxational vs. oscillatory—underlying optimal steering for different target state purities.
  • To determine the nature of the phase transition between these dynamical regimes.

Proposed method

  • Model the system using a Lindblad master equation with weak measurement and Hamiltonian evolution.
  • Analyze the Liouvillian superoperator's spectrum to identify exceptional points (EPs) in the parameter space.
  • Use perturbative and exact diagonalization techniques to study the dynamics near EPs.
  • Classify the type of exceptional point (second- or third-order) based on the behavior of eigenvalues and eigenvectors.
  • Map the transition between relaxational and oscillatory dynamics to the order of the exceptional point.
  • Verify that any pure or mixed state can be targeted through optimal parameter tuning near EPs.

Experimental results

Research questions

  • RQ1Can any pure or mixed quantum state be optimally steered using weak blind measurements and a Hamiltonian?
  • RQ2How do exceptional points in the Liouvillian spectrum influence the optimality of the steering protocol?
  • RQ3What dynamical behavior emerges during optimal steering for high-purity versus low-purity target states?
  • RQ4What is the nature of the phase transition between relaxational and oscillatory dynamics in the steering process?
  • RQ5How do the orders of exceptional points (second- vs. third-order) relate to the underlying dynamical regimes?

Key findings

  • Optimal steering of any pure or mixed state is achievable through the interplay of weak measurements and system Hamiltonians.
  • For high-purity target states, optimal steering corresponds to purely relaxational dynamics associated with a second-order exceptional point.
  • For low-purity target states, optimal steering involves an oscillatory approach to the target, linked to a third-order exceptional point.
  • The transition between relaxational and oscillatory dynamics is characterized by a third-order exceptional point, marking a phase transition in the Liouvillian spectrum.
  • The presence of exceptional points underlies the optimization mechanism, providing a geometric and spectral explanation for efficient state engineering.

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This review was created by AI and reviewed by human editors.