Teaching Quantum Computing without prerequisites: a case study

被引：6

作者：

Temporao, Guilherme P. ^{[1
]}

Guerreiro, Thiago B. S. ^{[2
]}

Ripper, Pedro S. C. ^{[1
]}

Pavani, Ana M. B. ^{[3
]}

机构：

[1] Pontif Catholic Univ Rio de Janeiro PUC Rio, Ctr Telecommun Studies, Rio De Janeiro, Brazil

[2] Pontif Catholic Univ Rio de Janeiro PUC Rio, Dept Phys, Rio De Janeiro, Brazil

[3] Pontif Catholic Univ Rio de Janeiro PUC Rio, Vice Rectory Acad Affairs, Rio De Janeiro, Brazil

来源：

2022 IEEE INTERNATIONAL CONFERENCE ON QUANTUM COMPUTING AND ENGINEERING (QCE 2022) | 2022年

关键词：

quantum computing; blended learning; linear algebra; Qiskit; INTEGRATION;

D O I：

10.1109/QCE53715.2022.00090

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

We present the results of two semesters of a new undergraduate course on Quantum Computing for Fundamental Sciences and Engineering students. The course was taught employing a blended learning approach, with a combination of synchronous classes, asynchronous video lessons and projects using IBM's Qiskit framework. As the students did not need any prerequisites in order to enroll, we treated the whole course as applied linear algebra, and it turns out that quantum computing can become the gateway to quantum physics instead of the other way around.

引用

页码：673 / 676

页数：4

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