Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

Computer

Quantum Access

Erik P. DeBenedictis

Published Sep 25, 2020• 0 citations
Publisher

Abstract

Quantum computers are available via the Internet for students and small-scale research. What if similar access could be extended to quantum hardware?
DOI
10.1109/mc.2020.3011079

Related papers

Teaching Quantum Machine Learning in Computer Science

Gennaro De Luca, Yinong Chen

The field of quantum computing is rapidly growing, with near term applications immediately available for use. The application of quantum computing to machine learning (i.e., quantum machine learning) is similarly growing rapidly. The presence of noisy intermediate-scale quantum (NISQ) era computers is further enabling research in the area. Historically, the barrier to entry of quantum computing has been nearly insurmountable for computer science students, or any other students who lack a strong physics background. However, quantum computing and quantum machine learning are becoming increasingly accessible, regardless of background. The goal of this paper is to present and demonstrate that the field is accessible to computer science students and to provide a sample curriculum. This curriculum can be used in a standalone class or as part of another machine learning class, as the authors have done.

International Symposium on Autonomous Decentralized Systems•Mar 15, 2023•6 citations

Explore Specific Applications of Quantum Computing in Fields Such as Cryptography, Material Science, And Machine Learnng

Rukshanda Rahman, Barna Biswas, Nur Mohammad +3 more

Progress on Multidisciplinary Scientific Research and Innovation•Jan 21, 2024•0 citations

A blueprint for building a quantum computer

Rodney Van Meter, Dominic C. Horsman

Quantum computer architecture holds the key to building commercially viable systems.

Communications of the ACM•Sep 26, 2013•115 citations

Quintuple: A Tool for Introducing Quantum Computing Into the Classroom

C. Corbett Moran

In May 2016 IBM released access to its 5-qubit quantum computer to the scientific community, its “IBM Quantum Experience” since acquiring over 60,000 users from students, educators and researchers around the globe. In the time since the “IBM Quantum Experience” became available, a flurry of research results on 5-qubit systems has been published derived from the platform hardware. Quintuple is an open-source object-oriented Python module implementing the ideal simulation of “IBM’s Quantum Experience” hardware. Quintuple quantum algorithms can be programmed and run via a custom language fully compatible with the “IBM’s Quantum Experience” or in pure Python. Over 40 example programs are provided with expected results, including Grover’s Algorithm and the Deutsch-Jozsa algorithm. Quintuple’s implementation is aimed at students and educators wishing to incorporate quantum computing into the classroom and enables students to follow a quantum computing calculation step-by-step and to verify hand calculations. For these students and educators, Quintuple contributes to the study of 5-qubit systems and the development and debugging of quantum algorithms for deployment on the “IBM Quantum Experience” hardware.

Frontiers in Physics•Jul 19, 2018•7 citations

Quantum Computing: Selected Internet Resources for Librarians, Researchers, and the Casually Curious.

Jill Cirasella

The article looks at the Internet resources on quantum computing for librarians, researchers and other individuals. The three categories of quantum computing literature are gee-whiz articles in the popular press, thick textbooks for serious students or dense articles by and for researchers. Also described are two open access resources on the subject, namely, the journal "Theory of Computing" at http://theoryofcomputing.org/ and the online archive arXiv at http://arxiv.org/. Several research centers on quantum computing are enumerated.

Issues in Science and Technology Librarianship•May 1, 2009•0 citations

Where Is My Quantum Computer?

Philip Hemmer, Jörg Wrachtrup

With applications in quantum cryptography, rudimentary quantum computers already exist.

Science•Apr 23, 2009•19 citations
The field of quantum computing is rapidly growing, with near term applications immediately available for use. The application of quantum computing to machine learning (i.e., quantum machine learning) is similarly growing rapidly. The presence of noisy intermediate-scale quantum (NISQ) era computers is further enabling research in the area. Historically, the barrier to entry of quantum computing has been nearly insurmountable for computer science students, or any other students who lack a strong physics background. However, quantum computing and quantum machine learning are becoming increasingly accessible, regardless of background. The goal of this paper is to present and demonstrate that the field is accessible to computer science students and to provide a sample curriculum. This curriculum can be used in a standalone class or as part of another machine learning class, as the authors have done.
In May 2016 IBM released access to its 5-qubit quantum computer to the scientific community, its “IBM Quantum Experience” since acquiring over 60,000 users from students, educators and researchers around the globe. In the time since the “IBM Quantum Experience” became available, a flurry of research results on 5-qubit systems has been published derived from the platform hardware. Quintuple is an open-source object-oriented Python module implementing the ideal simulation of “IBM’s Quantum Experience” hardware. Quintuple quantum algorithms can be programmed and run via a custom language fully compatible with the “IBM’s Quantum Experience” or in pure Python. Over 40 example programs are provided with expected results, including Grover’s Algorithm and the Deutsch-Jozsa algorithm. Quintuple’s implementation is aimed at students and educators wishing to incorporate quantum computing into the classroom and enables students to follow a quantum computing calculation step-by-step and to verify hand calculations. For these students and educators, Quintuple contributes to the study of 5-qubit systems and the development and debugging of quantum algorithms for deployment on the “IBM Quantum Experience” hardware.
The article looks at the Internet resources on quantum computing for librarians, researchers and other individuals. The three categories of quantum computing literature are gee-whiz articles in the popular press, thick textbooks for serious students or dense articles by and for researchers. Also described are two open access resources on the subject, namely, the journal "Theory of Computing" at http://theoryofcomputing.org/ and the online archive arXiv at http://arxiv.org/. Several research centers on quantum computing are enumerated.