Libraries for Quantum Computing

Jack D. Hidary

Jack D. Hidary

Martin Roetteler

Sebastian Mihai Ardelean, Mihai Udrescu

In this paper we describe a quantum computing simulation library named QC|pp). In the state-of-the-art most of the available libraries and simulators make use of the structural modeling of quantum circuits which requires a high memory consumption and huge runtime. Indeed, under the structural modeling framework, the simulation of quantum computers for n qubits entails multiplication of sparse 2n. x 2nsize matrices with vectors of dimension 2n, thus making this a memory-bound application. Through QC|pp) we propose a behavioral modeling framework of quantum circuits to reduce memory consumption, increase performance and allow for testing our simulator on more qubits. We will also present the results obtained by testing our library on simulating Grover's algorithm.

Afshin Babajani

The purpose of this paper is to explore the potential impact of quantum computing on academic and public libraries, with a focus on how it can empower these institutions in the information era. This viewpoint article provides an analysis of the advancements in quantum computing and their potential impact on libraries. It examines how quantum computing can enhance various aspects of library operations, including information processing, data storage, search capabilities, data analysis, cybersecurity, and scientific research. The findings reveal that advances in quantum computing have the potential to revolutionize libraries by enabling faster and more efficient information processing, improved data storage and retrieval, enhanced search capabilities, advanced data analysis, strengthened cybersecurity measures, and facilitated scientific research. These advancements can empower libraries to better serve their users in the information era. This paper contributes to the existing literature by highlighting the potential benefits of quantum computing for libraries. It explores the unique opportunities presented by quantum computing technologies and emphasizes their originality and value in transforming libraries into more efficient and effective information hubs in the digital age.

I. Glendinning, Bernhard Ömer

Abstract. We report on work to parallelize QC-lib, a C++ library for the simulation of quantum computers at an abstract functional level. After a brief introduction to quantum computing, we give an outline of QClib, then describe its parallelization using MPI, and present performance measurements made on a Beowulf cluster. Using more processors allowed larger problems to be solved, and reasonable speedups were obtained for the Hadamard transform and Grover’s quantum search algorithm. 1