@inproceedings{924eeab0c37e41ac815f7b0afb2476b8,
title = "Qsimulation V2.0: An Optimized Quantum Simulator",
abstract = "Qsimulation is a tool for simulating quantum computation on classical computers, which allows a user to write quantum programs in a simple quantum programming language, draw quantum circuits, and view the results of executing them. Similar to many other quantum simulation tools, the performance of Qsimulation largely depends on its capacity of dealing with matrix operations. In this paper we present Qsimulation V2.0, an optimized quantum simulator that implements a new algorithm for accelerating matrix-vector multiplications. The algorithm is based on matrix decomposition using tensor products and suitable for simulating the execution of quantum circuits. Experimental results show that Qsimulation V2.0 outperforms the open source frameworks Qiskit and ProjectQ.",
keywords = "Optimization, Quantum computation, Quantum simulator",
author = "Hua Wu and Yuxin Deng and Ming Xu and Wenjie Du",
note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 17th International Colloquium on Theoretical Aspects of Computing, ICTAC 2020 ; Conference date: 30-11-2020 Through 04-12-2020",
year = "2020",
doi = "10.1007/978-3-030-64276-1\_16",
language = "英语",
isbn = "9783030642754",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "307--316",
editor = "Pun, \{Violet Ka\} and Volker Stolz and Adenilso Simao",
booktitle = "Theoretical Aspects of Computing – ICTAC 2020 - 17th International Colloquium, 2020, Proceedings",
address = "德国",
}