Approximate locality for quantum systems on graphs

Physics – Quantum Physics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

5 pages, 2 figures, corrected typo

Scientific paper

10.1103/PhysRevLett.101.140503

In this Letter we make progress on a longstanding open problem of Aaronson and Ambainis [Theory of Computing 1, 47 (2005)]: we show that if A is the adjacency matrix of a sufficiently sparse low-dimensional graph then the unitary operator e^{itA} can be approximated by a unitary operator U(t) whose sparsity pattern is exactly that of a low-dimensional graph which gets more dense as |t| increases. Secondly, we show that if U is a sparse unitary operator with a gap \Delta in its spectrum, then there exists an approximate logarithm H of U which is also sparse. The sparsity pattern of H gets more dense as 1/\Delta increases. These two results can be interpreted as a way to convert between local continuous-time and local discrete-time processes. As an example we show that the discrete-time coined quantum walk can be realised as an approximately local continuous-time quantum walk. Finally, we use our construction to provide a definition for a fractional quantum fourier transform.

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

Approximate locality for quantum systems on graphs 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 Approximate locality for quantum systems on graphs, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Approximate locality for quantum systems on graphs will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-369343

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