Qulacs: a fast and versatile quantum circuit simulator for research purpose

By Yasunari Suzuki, Yoshiaki Kawase, Yuya Masumura, Yuria Hiraga, M. Nakadai, Jiabao Chen, Ken M. Nakanishi, Kosuke Mitarai, Ryosuke Imai, Shiro Tamiya and 10 more. Quantum, 2020

357 citations recorded by the source corpus.

To explore the possibilities of a near-term intermediate-scale quantum algorithm and long-term fault-tolerant quantum computing, a fast and versatile quantum circuit simulator is needed. Here, we introduce Qulacs, a fast simulator for quantum circuits intended for research purpose. We show the main concepts of Qulacs, explain how to use its features via examples, describe numerical techniques to speed-up simulation, and demonstrate its performance with numerical benchmarks.

Subfields: Artificial Intelligence, Atomic and Molecular Physics, and Optics

View Paper: https://www.semanticscholar.org/paper/62357cf7166fb0eb2416c8886521ec7d50a5460b

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In Artificial Intelligence

In Atomic and Molecular Physics, and Optics

Citations in the corpus

Quantum computing with Qiskit (2024, methodology): “Some particular examples include high-performance simulation of quantum circuits [43, 89], tools for calibration or characterization of quantum hardware and simulation of open quantum systems [49, 76, 99], quantum algorithms and applications such as in chemistry and machine learning [34, 96], and…”