Published May 2019 | Version v1
Journal article

Mimicking the Hadamard discrete-time quantum walk with a time-independent Hamiltonian

  • 1. Sharif University of Technology, Department of Physics (Iran, Islamic Republic of)
  • 2. Universidade Estadual de Campinas, Instituto de Física Gleb Wataghin (Brazil)

Description

The discrete-time quantum walk dynamics can be generated by a time-dependent Hamiltonian, repeatedly switching between the coin and the shift generators. We change the model and consider the case where the Hamiltonian is time-independent, including both the coin and the shift terms in all times. The eigenvalues and the related Bloch vectors for the time-independent Hamiltonian are then compared with the corresponding quantities for the effective Hamiltonian generating the quantum walk dynamics. Restricted to the non-localized initial quantum walk states, we optimize the parameters in the time-independent Hamiltonian such that it generates a dynamics similar to the Hadamard quantum walk. We find that the dynamics of the walker probability distribution and the corresponding standard deviation, the coin-walker entanglement, and the quantum-to-classical transition of the discrete-time quantum walk model can be approximately generated by the optimized time-independent Hamiltonian. We, further, show both dynamics are equivalent in the classical regime, as expected.

Additional details

Identifiers

Publishing Information

Journal Title
Quantum Information Processing (Print)
Journal Volume
18
Journal Issue
5
Journal Page Range
p. 1-21
ISSN
1570-0755

INIS

Country of Publication
Netherlands
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
52037948
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
Descriptors DEI
BLOCH THEORY; EIGENVALUES; GRAPH THEORY; HAMILTONIANS; PROBABILITY; QUANTUM ENTANGLEMENT; TIME DEPENDENCE
Descriptors DEC
MATHEMATICAL OPERATORS; MATHEMATICS; QUANTUM OPERATORS

Optional Information

Copyright
Copyright (c) 2019 Springer Science+Business Media, LLC, part of Springer Nature
Notes
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