Student research opportunities
Stochastic modelling of quantum logical gates Supervisor: André Carvalho
Project Code: CECS_830
This project is available at the following levels:
Engn4200, Engn R&D, Honours, Summer Scholar
Please note that this project is only for undergraduate students.
Keywords:
quantum computation, quantum control, quantum filtering and stochastic dynamics
Supervisor:
Professor Matt JamesOutline:
We have been witnessing spectacular technological progress towards incredibly small devices. With current commercial processors already produced at the nanoscale, we are rapidly approaching the scale at which systems must be described by the laws of quantum physics. In this scenario, new prospective technologies could take advantage of quantum mechanical effects to outperform their classical counterparts. Quantum computation is a prominent example of that: if we had a quantum computer we could solve problems that are exponentially difficulty on classical computers.
In the same way that a classical computer is based on the implementation of a sequence of elementary logical gates, a quantum computer relies on the possibility of performing a set of quantum gates. In this project the student will use tools of quantum filtering and stochastic dynamics to investigate the performance of an optical implementation of a parity gate.
Goals of this project
The optical parity gate proposed by Munro et al. (Opt. Comm. 283, 741 (2010)) would work on average. However, in a single shot, the effects of the stochastic nature of quantum measurement would be important. The goal of this project is to model the stochastic dynamics of the gate and analyse its performance under this more realistic condition.
Contact: André Carvalho - andre.carvalho@anu.edu.au
http://qubit.anu.edu.au/~arrc/
Requirements/Prerequisites
Background Literature
Quantum computer science: an introduction, N. David Mermin
- Introduction to optical quantum information processing, Pieter Kok and Brendon W. Lovett
