Physical Implementation of Quantum Walks

Softcover Nachdruck of the original 1. Auflage 2014
ISBN: 978-3-642-44709-9
Verlag: Springer

Buch, Englisch, 230 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 3693 g

Reihe: Quantum Science and Technology

Given the extensive application of random walks in virtually every science related discipline, we may be at the threshold of yet another problem solving paradigm with the advent of quantum walks. Over the past decade, quantum walks have been explored for their non-intuitive dynamics, which may hold the key to radically new quantum algorithms. This growing interest has been paralleled by a ?urry of research into how one can implement quantum walks in laboratories. This book presents numerous proposals as well as actual experiments for such a physical realization, underpinned by a wide range of quantum, classical and hybrid technologies.

Zielgruppe

Research

Autoren/Hrsg.

Wang, Jingbo

Manouchehri, Kia

Fachgebiete

• Naturwissenschaften Physik Physik Allgemein Theoretische Physik, Mathematische Physik, Computerphysik
• Naturwissenschaften Physik Quantenphysik

Inhaltsverzeichnis

Introduction.- Theory.- Physical Implementation.- Electromagnetic Radiation.- Atom Optics.- Bloch Rotations.- Linear Optical Elements.- Optical Lattices.

Über Autor(innen)

Professor Jingbo Wang leads the Quantum Dynamics and Computation group at The University of Western Australia. Her research spans several distinct disciplines including quantum computation and information, atomic, molecular and chemical physics, nanostructured electronic devices, chaos and nonlinear
dynamics, acoustics, as well as group and graph theory.

Dr. Kia Manouchehri has a Ph.D. in the general field of quantum
information and computation from The University of Western Australia. Apart from his work on quantum walks and quantum algorithms, Kia has also taken active interest in other areas of research, ranging from computational analysis of nanostructures to the study of quantum neural networks.