Limit Theorem for Continuous-Time Quantum Walk on the Line

Physics – Quantum Physics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

15 pages, title corrected

Scientific paper

10.1103/PhysRevE.72.026113

Concerning a discrete-time quantum walk X^{(d)}_t with a symmetric distribution on the line, whose evolution is described by the Hadamard transformation, it was proved by the author that the following weak limit theorem holds: X^{(d)}_t /t \to dx / \pi (1-x^2) \sqrt{1 - 2 x^2} as t \to \infty. The present paper shows that a similar type of weak limit theorems is satisfied for a {\it continuous-time} quantum walk X^{(c)}_t on the line as follows: X^{(c)}_t /t \to dx / \pi \sqrt{1 - x^2} as t \to \infty. These results for quantum walks form a striking contrast to the central limit theorem for symmetric discrete- and continuous-time classical random walks: Y_{t}/ \sqrt{t} \to e^{-x^2/2} dx / \sqrt{2 \pi} as t \to \infty. The work deals also with issue of the relationship between discrete and continuous-time quantum walks. This topic, subject of a long debate in the previous literature, is treated within the formalism of matrix representation and the limit distributions are exhaustively compared in the two cases.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Limit Theorem for Continuous-Time Quantum Walk on the Line does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Limit Theorem for Continuous-Time Quantum Walk on the Line, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Limit Theorem for Continuous-Time Quantum Walk on the Line will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-303935

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.