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Quantum Information Theory: investigating the information transfer and quantum measurement back-action effects of system-ancilla couplings

  • Full or part time
  • Application Deadline
    Applications accepted all year round
  • Awaiting Funding Decision/Possible External Funding
    Awaiting Funding Decision/Possible External Funding

Project Description

Quantum information Processing (QIP) is a new scientific field that studies how information may be stored and manipulated in systems obeying the laws of quantum physics. Quantum systems lead to novel ways of information processing, such as quantum computation, cryptography and teleportation. In order to better understand how quantum principles can enhance our ability to process information, this project will extend the Ancilla Driven Quantum Computation (ADQC) model developed by the supervisor and co-workers. We will investigate the information transfer and quantum measurement back-action effects of system-ancilla couplings, operationally characterising their QIP power.

The applicant should have or expected to be awarded a minimum of a 2.1 degree in physics or a related subject. The ideal applicant should be curious, and should have an interest in developing their analytical and numerical skills.

Funding Notes

No funding has been allocated for this project. Applications from strong candidates will be considered and funding sought if deemed suitable.

References Ancilla-driven universal quantum computation, J. Anders et al. Ancilla-driven quantum computation with twisted graph states, J. Anders et al. Ancilla Driven Quantum Computation with arbitrary entangling strength, K. Halil Shah, D. K. L. Oi Entangling unitary gates on distant qubits with ancilla feedback, K. Halil Shah, D. K. L. Oi A minimum control ancilla driven quantum computation scheme with repeat-until-success style gate generation, K. Halil-Shah, D. K. L. Oi

Related Subjects

How good is research at University of Strathclyde in Physics?

FTE Category A staff submitted: 27.00

Research output data provided by the Research Excellence Framework (REF)

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