Quantum machine learning: from physics to software engineering
Quantum machine learning is a rapidly growing field at the intersection of quantum
technology and artificial intelligence. This review provides a two-fold overview of several key …
technology and artificial intelligence. This review provides a two-fold overview of several key …
Quantum walk and its application domains: A systematic review
K Kadian, S Garhwal, A Kumar - Computer Science Review, 2021 - Elsevier
Quantum random walk is the quantum counterpart of a classical random walk. The classical
random walk concept has long been used as a computational framework for designing …
random walk concept has long been used as a computational framework for designing …
Quantum walks: a comprehensive review
SE Venegas-Andraca - Quantum Information Processing, 2012 - Springer
Quantum walks, the quantum mechanical counterpart of classical random walks, is an
advanced tool for building quantum algorithms that has been recently shown to constitute a …
advanced tool for building quantum algorithms that has been recently shown to constitute a …
[图书][B] Quantum walks and search algorithms
R Portugal - 2013 - Springer
This is a textbook about quantum walks and quantum search algorithms. The readers will
take advantage of the pedagogical aspects and learn the topics faster and make less effort …
take advantage of the pedagogical aspects and learn the topics faster and make less effort …
Open quantum random walks
A new model of quantum random walks is introduced, on lattices as well as on finite graphs.
These quantum random walks take into account the behavior of open quantum systems …
These quantum random walks take into account the behavior of open quantum systems …
Localization and fractality in inhomogeneous quantum walks with self-duality
We introduce and study a class of discrete-time quantum walks on a one-dimensional lattice.
In contrast to the standard homogeneous quantum walks, coin operators are …
In contrast to the standard homogeneous quantum walks, coin operators are …
Quantum stochastic walks: A generalization of classical random walks and quantum walks
JD Whitfield, CA Rodríguez-Rosario… - Physical Review A …, 2010 - APS
We introduce the quantum stochastic walk (QSW), which determines the evolution of a
generalized quantum-mechanical walk on a graph that obeys a quantum stochastic …
generalized quantum-mechanical walk on a graph that obeys a quantum stochastic …
A study of the performance of classical minimizers in the quantum approximate optimization algorithm
M Fernández-Pendás, EF Combarro… - … of Computational and …, 2022 - Elsevier
Abstract The Quantum Approximate Optimization Algorithm (QAOA) was proposed as a way
of finding good, approximate solutions to hard combinatorial optimization problems. QAOA …
of finding good, approximate solutions to hard combinatorial optimization problems. QAOA …
[PDF][PDF] Localization of an inhomogeneous discrete-time quantum walk on the line
N Konno - arxiv preprint arxiv:0908.2213, 2009 - arxiv.org
arxiv:0908.2213v4 [quant-ph] 11 May 2010 Page 1 arxiv:0908.2213v4 [quant-ph] 11 May
2010 Localization of an inhomogeneous discrete-time quantum walk on the line Norio Konno …
2010 Localization of an inhomogeneous discrete-time quantum walk on the line Norio Konno …
Predicting quantum advantage by quantum walk with convolutional neural networks
Quantum walks are at the heart of modern quantum technologies. They allow to deal with
quantum transport phenomena and are an advanced tool for constructing novel quantum …
quantum transport phenomena and are an advanced tool for constructing novel quantum …