Accessibility Tools

Past seminars

Theoretical Physics Seminar Stacjonarnie

Singular quantum Fisher information matrix in critical metrology

26-03-2024 12:00 - 13:00
Venue
Institute of Physics PAS; Room D, Building I
Speaker
dr Karol Gietka
Affiliation
Institut für Theoretische Physik, Universität Innsbruck
Sala
Room D (Building I)

Critical metrology relies on the extreme sensitivity of the system's eigenstates close to the critical point to Hamiltonian parameter perturbations. Typically, however, the critical point, at which the phase transition occurs, is a function of many if not all the parameters of the system. This suggests that the quantum Fisher information matrix might be singular at the critical point, which in the context of parameter estimation is typically representing a significant complication. On the example of a toy-model Landau-Zener Hamiltonian, the Ising Hamiltonian, and the thermodynamic limit of the Lipkin-Meshkov-Glick Hamiltonian, we show that the quantum Fisher information matrix in critical metrology is always singular regardless of the system size and the distance to the critical point. However, contrary to the regular approach to metrology, where the singularity is detrimental, we argue that critical metrology works precisely because the quantum Fisher information matrix is singular.

 
 

List of Dates (Page event details)

  • 26-03-2024 12:00 - 13:00
Save
Cookies user preferences
We use cookies to ensure you to get the best experience on our website. If you decline the use of cookies, this website may not function as expected.
Accept all
Decline all
Read more
Essential
Essential cookies
These cookies are necessary for the correct operation of the website and therefore cannot be disabled on this level; the use of these cookies does not involve the processing of personal data. While you can disable them via your browser settings, doing so may prevent the website from working normally.
Accept
Analytical cookies
These cookies are particularly intended to enable the website administrator to monitor the website traffic statistics, as well as the sources of traffic. Such data is typically collected anonymously.
Google Analytics
Accept
Decline