Improving Quantum Clocks via Semidefinite Programming

Physics – Quantum Physics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

The accuracies of modern quantum logic clocks have surpassed those of standard atomic fountain clocks. These clocks also provide a greater degree of control, because before and after clock queries, we are able to apply chosen unitary operations and measurements. Here, we take advantage of these choices and present a numerical technique designed to increase the accuracy of these clocks. We use a greedy approach, minimizing the phase variance of a noisy classical oscillator with respect to a perfect frequency standard after an interrogation step; we do not optimize over successive interrogations or the probe times. We consider arbitrary prior frequency knowledge and compare clocks with varying numbers of ions and queries interlaced with unitary control. Our technique is based on the semidefinite programming formulation of quantum query complexity, a method first developed in the context of deriving algorithmic lower bounds. The application of semidefinite programming to an inherently continuous problem like that considered here requires discretization; we derive bounds on the error introduced and show that it can be made suitably small.

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

Improving Quantum Clocks via Semidefinite Programming 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 Improving Quantum Clocks via Semidefinite Programming, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Improving Quantum Clocks via Semidefinite Programming will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-112430

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