Stochastic Simulation of Grover's Algorithm
L.R.U. Manssur, R. Portugal

TL;DR
This paper introduces a stochastic simulation method for Grover's quantum search algorithm using Hubbard-Stratonovich decomposition and Langevin equations, enabling classical simulation of quantum search processes.
Contribution
The paper presents a novel stochastic approach to simulate Grover's algorithm classically, utilizing Hubbard-Stratonovich decomposition and automated derivation of Langevin equations.
Findings
Successfully simulated Grover's algorithm for small search spaces
Demonstrated the feasibility of classical stochastic simulation of quantum algorithms
Provided numerical results validating the method
Abstract
We simulate Grover's algorithm in a classical computer by means of a stochastic method using the Hubbard-Stratonovich decomposition of n-qubit gates into one-qubit gates integrated over auxiliary fields. The problem reduces to finding the fixed points of the associated system of Langevin differential equations. The equations are obtained automatically for any number of qubits by employing a computer algebra program. We present the numerical results of the simulation for a small search space.
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum Information and Cryptography · Quantum Mechanics and Applications
