Tata Institute of Fundamental Research
Quantum De-Finetti Representation Theorem for Infinite Exchangeable Probability Assignments
STCS Student Seminar
Speaker:
Aditya Nema
Organiser:
Anand Deo
Date:
Friday, 17 Mar 2017, 17:15 to 18:15
Venue:
A-201 (STCS Seminar Room)
(Scan to add to calendar)
Abstract:
In this talk, we will discuss De Finetti representation theorem on exchangeable probability assignment, that provides an operational definition of the concept of an unknown probability in Bayesian probability theory, where probabilities are taken to be degrees of belief instead of objective states of nature.
l give a brief description of classical version and then move onto the quantum analogue.
l discuss the proof of the theorem in quantum setting, given by Fuchs et. al.
There are wide applications of this theorem, mainly in tomography, where a probability distribution (a prior) is to be estimated by repeated trials on identically prepared systems.
l cover the background required in quantum setting as we progress in the talk.
| Speaker: | Aditya Nema |
| Organiser: | Anand Deo |
| Date: | Friday, 17 Mar 2017, 17:15 to 18:15 |
| Venue: | A-201 (STCS Seminar Room) |
(Scan to add to calendar)
Abstract:
In this talk, we will discuss De Finetti representation theorem on exchangeable probability assignment, that provides an operational definition of the concept of an unknown probability in Bayesian probability theory, where probabilities are taken to be degrees of belief instead of objective states of nature.
l give a brief description of classical version and then move onto the quantum analogue.
l discuss the proof of the theorem in quantum setting, given by Fuchs et. al.
There are wide applications of this theorem, mainly in tomography, where a probability distribution (a prior) is to be estimated by repeated trials on identically prepared systems.
l cover the background required in quantum setting as we progress in the talk.
l give a brief description of classical version and then move onto the quantum analogue.
l discuss the proof of the theorem in quantum setting, given by Fuchs et. al.
There are wide applications of this theorem, mainly in tomography, where a probability distribution (a prior) is to be estimated by repeated trials on identically prepared systems.
l cover the background required in quantum setting as we progress in the talk.