Mean Field Theory of Josephson Junction Arrays with Charge Frustration

Physics – Condensed Matter – Superconductivity

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

LaTex, 24 pages, 8 figures

Scientific paper

10.1103/PhysRevB.61.11676

Using the path integral approach, we provide an explicit derivation of the equation for the phase boundary for quantum Josephson junction arrays with offset charges and non-diagonal capacitance matrix. For the model with nearest neighbor capacitance matrix and uniform offset charge $q/2e=1/2$, we determine, in the low critical temperature expansion, the most relevant contributions to the equation for the phase boundary. We explicitly construct the charge distributions on the lattice corresponding to the lowest energies. We find a reentrant behavior even with a short ranged interaction. A merit of the path integral approach is that it allows to provide an elegant derivation of the Ginzburg-Landau free energy for a general model with charge frustration and non-diagonal capacitance matrix. The partition function factorizes as a product of a topological term, depending only on a set of integers, and a non-topological one, which is explicitly evaluated.

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

Mean Field Theory of Josephson Junction Arrays with Charge Frustration 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 Mean Field Theory of Josephson Junction Arrays with Charge Frustration, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Mean Field Theory of Josephson Junction Arrays with Charge Frustration will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-228037

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