Quantum simulation of quantum relativistic diffusion via quantum walks - Aix-Marseille Université Access content directly
Journal Articles Journal of Physics A: Mathematical and Theoretical Year : 2020

Quantum simulation of quantum relativistic diffusion via quantum walks

Abstract

Two models are first presented, of a one-dimensional discrete-time quantum walk (DTQW) with temporal noise on the internal degree of freedom (i.e., the coin): (i) a model with both a coin-flip and a phase-flip channel, and (ii) a model with random coin unitaries. It is then shown that both these models admit a common limit in the spacetime continuum, namely, a Lindblad equation with Dirac-fermion Hamiltonian part and, as Lindblad jumps, a chirality flip and a chirality-dependent phase flip, which are two of the three standard error channels for a two-level quantum system. This, as one may call it, Dirac Lindblad equation, provides a model of quantum relativistic spatial diffusion, which is evidenced both analytically and numerically. This model of spatial diffusion has the intriguing specificity of making sense only with original unitary models which are relativistic in the sense that they have chirality, on which the noise is introduced: the diffusion arises via the by-construction (quantum) coupling of chirality to the position. For a particle with vanishing mass, the model of quantum relativistic diffusion introduced in the present work, reduces to the well-known telegraph equation, which yields propagation at short times, diffusion at long times, and exhibits no quantumness. Finally, the results are extended to temporal noises which depend smoothly on position.

Dates and versions

hal-02423717 , version 1 (25-12-2019)

Identifiers

Cite

Pablo Arnault, Adrian Macquet, Andreu Anglés-Castillo, Iván Márquez-Martín, Vicente Pina-Canelles, et al.. Quantum simulation of quantum relativistic diffusion via quantum walks. Journal of Physics A: Mathematical and Theoretical, 2020, 53 (20), pp.205303. ⟨10.1088/1751-8121/ab8245⟩. ⟨hal-02423717⟩
134 View
0 Download

Altmetric

Share

Gmail Facebook X LinkedIn More