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Trapped Ion Quantum Computing

Solving Linear Systems of Equations by Using the Concept of Grover's Search Algorithm: An IBM Quantum Experience

arXiv
Authors: Rituparna Maji, Bikash K. Behera, Prasanta K. Panigrahi

Year

2017

Paper ID

39208

Status

Preprint

Abstract Read

~2 min

Abstract Words

149

Citations

N/A

Abstract

Quantum algorithm, as compared to classical algorithm, plays a notable role in solving linear systems of equations with an exponential speedup. Here, we demonstrate a method for solving a particular system of equations by using the concept of well-known Grover's quantum search algorithm. The algorithm finds the solution by rotating the initial state vector in the Hilbert space to get the target solution state. It mainly involves finding particular matrices that solve the set of equations and constructing corresponding quantum circuits using the basic quantum gates. We explicitly illustrate the whole process by taking 48 different set of equations and solving them by using the concept of Grover's algorithm. We propose new quantum circuits for each set of equations and design those on the IBM quantum simulator. We run the quantum circuit for one set of equations and obtain the desired results, and hence verify the working of the algorithm.

Why This Paper Matters

  • This paper contributes to the Trapped-Ion Quantum Computing research area in the Quantum Articles archive.
  • It adds a 2017 reference point for readers tracking recent quantum research.
  • Quantum algorithm, as compared to classical algorithm, plays a notable role in solving linear systems of equations with an exponential speedup.

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