English

Shortcuts to adiabaticity and applications to Quantum Computation

Quantum Physics 2016-03-17 v1

Abstract

Adiabatic evolution is a powerful technique in quantum information and computation. However, its performance is limited by the adiabatic theorem of quantum mechanics. In this scenario, shortcuts to adiabaticity, such as provided by the superadiabatic theory, constitute a valuable tool to speed up the adiabatic quantum behavior. In this dissertation we introduce two different models to perform universal superadiabatic quantum computing, which are based on the use of shortcuts to adiabaticity by counter-diabatic Hamiltonians. The first model is based on the use of superadiabatic quantum teleportation, introduced in this dissertation, as a primitive to quantum computing. Thus, we provide the counter-diabatic driving for arbitrary nn-qubit gates. In addition, our approach maps the counter-diabatic Hamiltonian for an arbitrary nn-qubit {\it gate} teleportation into the implementation of a rotated counter-diabatic Hamiltonian for an nn-qubit {\it state} teleportation. In the second model we use the concept of controlled superadiabatic evolutions to show how we can implement arbitrary nn-controlled quantum gates. Remarkably, this task can be performed by simple time-independent counter-diabatic Hamiltonians. These two models can be used to design different sets of universal quantum gates. We show that the use of the quantum speed limit suggests that the superadiabatic time evolution is compatible with arbitrarily small time intervals, where this arbitrariness is constrained to the energetic cost necessary to perform the superadiabatic evolution.

Keywords

Cite

@article{arxiv.1603.05071,
  title  = {Shortcuts to adiabaticity and applications to Quantum Computation},
  author = {Alan C. Santos},
  journal= {arXiv preprint arXiv:1603.05071},
  year   = {2016}
}

Comments

101 pages, in Portuguese. 11 figures. Master thesis submitted to Physical Institute of the Federal University Fluminense, RJ, Brazil. Date: february 24, 2016

R2 v1 2026-06-22T13:12:14.328Z