Journal
HELIYON
Volume 9, Issue 3, Pages -Publisher
CELL PRESS
DOI: 10.1016/j.heliyon.2023.e13416
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Simulation and programming of current quantum computers as Noisy Intermediate-Scale Quantum (NISQ) devices are a hot topic at the border of current physical and information sciences. Quantum walk processes play a key role in many quantum algorithms and are computationally challenging for classical processors. This study explores the relationship between quantum walk on graphs and quantum circuits to pave the way for efficient quantum walk algorithms implementation on quantum computers.
Simulation and programming of current quantum computers as Noisy Intermediate-Scale Quantum (NISQ) devices represent a hot topic at the border of current physical and information sciences. The quantum walk process represents a basic subroutine in many quantum algorithms and plays an important role in studying physical phenomena. Simulating quantum walk processes is computationally challenging for classical processors. With an increasing improvement in qubits fidelity and qubits number in a single register, there is a potential to improve quantum walks simulations substantially. However, efficient ways to simulate quantum walks in qubit registers still have to be explored. Here, we explore the relationship between quantum walk on graphs and quantum circuits. Firstly, we discuss ways to obtain graphs provided quantum circuit. We then explore techniques to represent quantum walk on a graph as a quantum circuit. Specifically, we study hypercube graphs and arbitrary graphs. Our approach to studying the relationship between graphs and quantum circuits paves way for the efficient implementation of quantum walks algorithms on quantum computers.
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