In this paper, we review a way to change nature of phase transition with annealing methods in mind. Annealing methods are regarded as a general technique to solve optimization problems efficiently. In annealing methods, we introduce a controllable parameter which represents a kind of fluctuation and decrease the parameter gradually. Annealing methods face with a difficulty when a phase transition point exists during the protocol. Then, it is important to develop a method to avoid the phase transition by introducing a new type of fluctuation. By taking the Potts model for instance, we review a way to change the phase transition nature. Although the method described in this paper does not succeed to avoid the phase transition, we believe that the concept of the method will be useful for optimization problems.
Physics, Mathematics, and All that Quantum Jass
- Pub Date:
- March 2014
- Condensed Matter - Statistical Mechanics
- 27 pages, 3 figures, revised version will appear in proceedings of Kinki University Quantum Computing Series Vo. 9