2021 Design, Automation &Amp; Test in Europe Conference &Amp; Exhibition (DATE) 2021
DOI: 10.23919/date51398.2021.9474170
|View full text |Cite
|
Sign up to set email alerts
|

HiQ-ProjectQ: Towards user-friendly and high-performance quantum computing on GPUs

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
3
0

Year Published

2021
2021
2022
2022

Publication Types

Select...
3
2

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(3 citation statements)
references
References 9 publications
0
3
0
Order By: Relevance
“…For the future development of this field, it is important to further develop quantum classification theories and models to find more potential applications. With the help of the softwares used for simulating these quantum models [191][192][193][194][195][196][197][198][199][200][201][202][203][204], it gets easier to quantify the performance of these models. Moreover, the size of the quantum platforms, such as the superconducting platforms and the ion trap systems, are expected to grow fast to meet the requirement of the theories of the various quantum classifiers.…”
Section: Conclusion and Outlooksmentioning
confidence: 99%
“…For the future development of this field, it is important to further develop quantum classification theories and models to find more potential applications. With the help of the softwares used for simulating these quantum models [191][192][193][194][195][196][197][198][199][200][201][202][203][204], it gets easier to quantify the performance of these models. Moreover, the size of the quantum platforms, such as the superconducting platforms and the ion trap systems, are expected to grow fast to meet the requirement of the theories of the various quantum classifiers.…”
Section: Conclusion and Outlooksmentioning
confidence: 99%
“…When designing new QNN models or testing a QNN's performance on a given dataset, an important step is to efficiently simulate the QNN's training dynamics. At the current stage, a number of quantum simulation platforms have been built by institutes and companies worldwide [64][65][66][67][68][69][70][71][72][73][74][75][76][77]. In this paper and the accompanying open-source code, we will utilize Yao.jl [64], a quantum simulation framework written in Julia Language [65], to construct the models introduced and benchmarked in the following sections.…”
Section: Introductionmentioning
confidence: 99%
“…When designing new QNN models or testing a QNN's performance on a given dataset, an important step is to efficiently simulate the QNN's training dynamics. At the current stage, a number of quantum simulation platforms have been built by institutes and companies worldwide [56][57][58][59][60][61][62][63][64][65][66][67][68][69]. In this paper and the accompanying open-source code, we will utilize Yao.jl [56], a quantum simulation framework written in Julia Language [57], to construct the models introduced and benchmarked in the following sections.…”
Section: Introductionmentioning
confidence: 99%