Pith. sign in

REVIEW 1 cited by

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

Not yet reviewed by Pith; the record is open.

Re-run · record.json Download PDF Read on arXiv ↗

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2011.13524 v4 pith:WUEH7IPG submitted 2020-11-27 quant-ph physics.comp-ph

Yasunari Suzuki , Yoshiaki Kawase , Yuya Masumura , Yuria Hiraga , Masahiro Nakadai , Jiabao Chen , Ken M. Nakanishi , Kosuke Mitarai
show 12 more authors
Ryosuke Imai Shiro Tamiya Takahiro Yamamoto Tennin Yan Toru Kawakubo Yuya O. Nakagawa Yohei Ibe Youyuan Zhang Hirotsugu Yamashita Hikaru Yoshimura Akihiro Hayashi Keisuke Fujii
This is my paper · ORCID
classification quant-phphysics.comp-ph
keywords quantumfastqulacssimulatorcircuitnumericalpurposeresearch
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

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.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Recent Developments and Perspectives in Variational Quantum Eigensolvers for Molecular Electronic Structure: Methods, Tradeoffs, and Benchmarking

    quant-ph 2026-02 conditional novelty 4.0 of 10

    A survey of VQE methods reports that adaptive ansatz methods reach chemical accuracy with fewer parameters than standard UCCSD-VQE in small-molecule benchmarks, with threshold-dependent recommendations.

Pith tools