Simulation Paths for Quantum Circuit Simulation With Decision Diagrams What to Learn From Tensor Networks, and What Not-Reference-Cited by-同舟云学术

Simulation Paths for Quantum Circuit Simulation With Decision Diagrams What to Learn From Tensor Networks, and What Not

Published:2023-04 Issue:4 Volume:42 Page:1113-1122
ISSN:0278-0070
Container-title:IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
language:
Short-container-title:IEEE Trans. Comput.-Aided Des. Integr. Circuits Syst.

Author:

Burgholzer Lukas¹^ORCID,Ploier Alexander¹^ORCID,Wille Robert²^ORCID

Affiliation:

1. Institute for Integrated Circuits, Johannes Kepler University Linz, Linz, Austria

2. Chair for Design Automation, Technical University of Munich, Munich, Germany

Funder

European Research Council (ERC) through the European Union’s Horizon 2020 Research and Innovation Program

Munich Quantum Valley through the Bavarian State Government with funds from the Hightech Agenda Bayern Plus

BMWK on the basis of a decision by the German Bundestag through Project QuaST

BMK, BMDW

State of Upper Austria in the frame of the COMET Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/43/10077488/09854090.pdf?arnumber=9854090

Reference40 articles.

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2. Qiskit: An open-source framework for quantum computing;aleksandrowicz;Zenodo,2019

3. Classical simulation of quantum supremacy circuits;huang;arXiv 2005 06787,2020

4. OpenQASM 3: A broader and deeper quantum assembly language;cross;arXiv 2104 14722,2021

5. On Optimizing a Class of Multi-Dimensional Loops with Reduction for Parallel Execution

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