Drexel University - Comprehensive, integrated academics enhanced by co-operative education, technology, and research opportunities. | Drexel University
Drexel University
Search events. View events.

All Categories

Click for help in using calendar displays. Print the contents of the current screen.
Display Format: 
Event Details
Notify me if this event changes.Add this event to my personal calendar.
Go Back
Thesis Defense: "Stochastic Models of Quantum Decoherence"
Start Date: 6/6/2013Start Time: 1:00 PM
End Date: 6/6/2013End Time: 2:00 PM

Event Description

Title: Stochastic Models of Quantum Decoherence

Doctoral Candidate: Sam Kennerly

Abstract: Suppose a single qubit is repeatedly prepared and evolved under imperfectly-controlled conditions. A "drunk model" represents uncontrolled interactions on each experimental trial as random or stochastic terms in the qubit’s Hamiltonian operator. Time evolution of states is generated by a stochastic differential equation whose sample paths evolve according to the Schrödinger equation. For models with Gaussian white noise which is independent of the qubit’s state, the expectation value of the solution obeys a master equation which is identical to the high-temperature limit of the Bloch equation. Drunk models predict that experimental data can appear consistent with decoherence even if qubit states evolve by unitary transformations. Examples are shown in which reversible evolution appears to cause irreversible information loss. This paradox is resolved by distinguishing between the true state of a system and the estimated state inferred from an experimental dataset.

Advisor: Robert Gilmore

Contact Information:
Name: Sam Kennerly
Phone: (215) 895-1546
Email: stk29@drexel.edu
Sam Kennerly
Location:
Disque Hall Room 919
Audience:
  • Current Students
  • Faculty

  • Display Month:

    Advanced Search (New Search)
    Date Range:
    Time Range:
    Category(s):
    Audience: 

    Special Features: 

    Keyword(s):
    Submit
    Select item(s) to Search
    Select item(s) to Search
    Select item(s) to Search
    Select item(s) to Search