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Published on: August 2, 2019
Universal dynamical scaling laws in three-state quantum walks.
P R N Falcão1, A R C Buarque1, W S Dias1
1Instituto de Física, Universidade Federal de Alagoas, 57072-900 Maceió, Alagoas, Brazil.
We analyzed a three-state quantum walk near its detrapping point. The participation ratio exhibits linear scaling with a logarithmic correction, clarifying previous sublinear observations.
Area of Science:
- Quantum mechanics
- Quantum computation
- Condensed matter physics
Background:
- Quantum walks are fundamental tools for quantum computation and simulation.
- Understanding wave packet dynamics, especially trapping and spreading, is crucial for controlling quantum systems.
Purpose of the Study:
- To investigate the finite-time scaling behavior of a three-state quantum walk near its detrapping point.
- To analyze the influence of the coin operator's parameter (ρ) and mixing angle (θ) on wave packet dynamics.
- To elucidate the scaling of the participation ratio and survival probability.
Main Methods:
- Finite-time scaling analysis applied to a three-state quantum walk on a line.
- Parametrization of the coin operator by ρ to control spreading velocity.
- Preparation of a symmetric input state with a specific mixing angle θ.
- Analysis of the detrapping angle θc(ρ) where wave packet trapping ceases.
Main Results:
- Relevant quantities, including survival probability and participation ratio, exhibit single-parameter scaling near the detrapping angle θc.
- The participation ratio demonstrates linear growth in time with a logarithmic correction.
- This finding provides insight into previously reported sublinear behavior of the participation ratio.
Conclusions:
- The study reveals universal scaling behaviors for quantum walks near critical points.
- The identified linear scaling with a logarithmic correction for the participation ratio offers a more precise description of wave packet spreading.
- These results contribute to a deeper understanding of quantum transport phenomena and the design of quantum algorithms.
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