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

Verhandlungen der Deutschen Physikalischen Gesellschaft

Maple tools for teaching and exploring quantum computation and information protocols

Thomas Radtke, S. Fritzsche

Published Jan 1, 2008• 0 citations
OpenAlex

Related papers

Quantum Information and Quantum Computation Tools

M. S. Ramkarthik, Pranay Barkataki

CRC Press eBooks•Sep 22, 2022•0 citations

Simulation of n-qubit quantum systems: A computer-algebraic approach

Thomas Radtke, S. Fritzsche, A. Surzhykov

During the last decade, the field of quantum computation has attracted a lot of interest and motivated many theoretical and experimental studies of n -qubit quantum systems. But apart from the promise of more efficient quantum algorithms, these investigations also revealed a number of obstacles which still have to be overcome in practice. In this context, the use of simulation programs has proved to be an appropriate method. In order to facilitate the simulation of n -qubit quantum systems, we present the Feynman software program to provide the necessary tools to define and to deal with quantum registers as well as the operators acting on them. Using an interactive design within the framework of the computer algebra system Maple, we hope that the Feynman software program will be useful not only for teaching the basic elements of quantum computing but also for studying their physical realization in the future.

Physics of Particles and Nuclei Letters•Mar 1, 2007•2 citations

Introduction to Quantum Computation and Quantum Cryptographic Protocols

배준우

•Feb 22, 2019•0 citations

QGrover: Teaching Grover's Algorithm Through Visual Exploration

Samantha Norrie, Anthony Estey, Hausi A. Müller +1 more

Quantum Computing is a rapidly growing field that requires a multidisciplinary workforce. In order to successfully educate this up-and-coming workforce, it is crucial that Quantum Computing Education is filled with a variety of tools that support different backgrounds and learning styles. Incorporating visual exploration into learning allows for the use of multiple learning channels and can promote collaborative learning. We present QGrover, an interactive visualization tool that supports the learning of Grover's algorithm, an important quantum search algorithm. QGrover is a browser-based tool that allows users to examine the different components of Grover's algorithm while exploring experimentally how different parameters affect it. We also present sample questions for using QGrover in a classroom setting. Sample answers for the questions are included with the questions.

IEEE International Conference on Quantum Computing and Engineering (QCE)•Sep 15, 2024•2 citations

Introduction to Quantum Computation and Information

Hoi‐Kwong Lo, Timothy P. Spiller, Sandu Popescu

WORLD SCIENTIFIC eBooks•Oct 1, 1998•166 citations

Investigating Immersive Virtual Reality as an Educational Tool for Quantum Computing

Alexander Zable, Lloyd C. L. Hollenberg, Eduardo Velloso +1 more

Quantum computing (QC) is an intrinsically complex yet exciting discipline with increasing practical relevance. A deep understanding of QC requires the integration of knowledge across numerous technical fields, such as physics, computing and mathematics. This work aims to investigate how immersive Virtual Reality (VR) compares to a desktop environment (‘web-applet’) as an educational tool to help teach individuals QC fundamentals. We developed two interactive learning tutorials, one utilising the ‘Bloch sphere’ visualisation to represent a single-qubit system, and the other exploring multi-qubit systems through the lens of ‘quantum entanglement’. We evaluate the effectiveness of each medium to teach QC fundamentals in a user study with 24 participants. We find that the Bloch sphere visualisation was well-suited to VR over a desktop environment. Our results also indicate that mathematics literacy is an important factor in facilitating greater learning with this effect being notably more pronounced when using VR. However, VR did not significantly improve learning in a multi-qubit context. Our work provides valuable insights which contribute to the emerging field of Quantum HCI (QHCI) and VR for education.

ACM Symposium on Virtual Reality Software and Technology (VRST)•Oct 31, 2020•32 citations
During the last decade, the field of quantum computation has attracted a lot of interest and motivated many theoretical and experimental studies of n -qubit quantum systems. But apart from the promise of more efficient quantum algorithms, these investigations also revealed a number of obstacles which still have to be overcome in practice. In this context, the use of simulation programs has proved to be an appropriate method. In order to facilitate the simulation of n -qubit quantum systems, we present the Feynman software program to provide the necessary tools to define and to deal with quantum registers as well as the operators acting on them. Using an interactive design within the framework of the computer algebra system Maple, we hope that the Feynman software program will be useful not only for teaching the basic elements of quantum computing but also for studying their physical realization in the future.
Quantum Computing is a rapidly growing field that requires a multidisciplinary workforce. In order to successfully educate this up-and-coming workforce, it is crucial that Quantum Computing Education is filled with a variety of tools that support different backgrounds and learning styles. Incorporating visual exploration into learning allows for the use of multiple learning channels and can promote collaborative learning. We present QGrover, an interactive visualization tool that supports the learning of Grover's algorithm, an important quantum search algorithm. QGrover is a browser-based tool that allows users to examine the different components of Grover's algorithm while exploring experimentally how different parameters affect it. We also present sample questions for using QGrover in a classroom setting. Sample answers for the questions are included with the questions.
Quantum computing (QC) is an intrinsically complex yet exciting discipline with increasing practical relevance. A deep understanding of QC requires the integration of knowledge across numerous technical fields, such as physics, computing and mathematics. This work aims to investigate how immersive Virtual Reality (VR) compares to a desktop environment (‘web-applet’) as an educational tool to help teach individuals QC fundamentals. We developed two interactive learning tutorials, one utilising the ‘Bloch sphere’ visualisation to represent a single-qubit system, and the other exploring multi-qubit systems through the lens of ‘quantum entanglement’. We evaluate the effectiveness of each medium to teach QC fundamentals in a user study with 24 participants. We find that the Bloch sphere visualisation was well-suited to VR over a desktop environment. Our results also indicate that mathematics literacy is an important factor in facilitating greater learning with this effect being notably more pronounced when using VR. However, VR did not significantly improve learning in a multi-qubit context. Our work provides valuable insights which contribute to the emerging field of Quantum HCI (QHCI) and VR for education.