A Computer Science-Oriented Approach to Introduce Quantum Computing to a
New Audience
- URL: http://arxiv.org/abs/2010.13552v4
- Date: Tue, 11 May 2021 20:29:35 GMT
- Title: A Computer Science-Oriented Approach to Introduce Quantum Computing to a
New Audience
- Authors: \"Ozlem Salehi, Zeki Seskir, \.Ilknur Tepe
- Abstract summary: This study aims to inform academics and organizations interested in introducing quantum computing to a diverse group of participants on an educational approach.
The proposed methodology considers quantum computing as a generalized probability theory rather than a field emanating from physics.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Contribution: In this study, an alternative educational approach for
introducing quantum computing to a wider audience is highlighted. The proposed
methodology considers quantum computing as a generalized probability theory
rather than a field emanating from physics and utilizes quantum programming as
an educational tool to reinforce the learning process.
Background: Quantum computing is a topic mainly rooted in physics, and it has
been gaining rapid popularity in recent years. A need for extending the
educational reach to groups outside of physics has also been becoming a
necessity.
Intended outcomes: This study aims to inform academics and organizations
interested in introducing quantum computing to a diverse group of participants
on an educational approach. It is intended that the proposed methodology would
facilitate people from diverse backgrounds to enter the field
Application design: The introductory quantum physics content is bypassed and
the quantum computing concepts are introduced through linear algebra instead.
Quantum programming tasks are prepared in line with the content. Pre/post-test
design method and Likert scale satisfaction surveys are utilized to measure
knowledge acquisition and to evaluate the perception of the learning process by
the participants.
Findings: Conducted pre/post-test design survey shows that there is a
statistically significant increase in the basic knowledge levels of the
participants on quantum computing concepts. Furthermore, no significant
difference in the gain scores is observed between the participants from
different STEM-related educational backgrounds. The majority of the
participants were satisfied and provided positive feedback.
Related papers
- Distributed Quantum Computing: Applications and Challenges [0.0]
Distributed quantum computing aims to scale quantum computers through the linking of different individual quantum computers.
This study seeks to give an overview of this technology on an application-level, considering both use cases and implementation considerations.
arXiv Detail & Related papers (2024-10-01T11:55:04Z) - Quantum Computing for All: Online Courses Built Around Interactive Visual Quantum Circuit Simulator [2.11112892522772]
We have developed an online course built around an interactive quantum circuit simulator.
The immediate feedback and automatically evaluated tasks lowers the entry barrier to quantum computing for all students.
arXiv Detail & Related papers (2024-04-16T07:11:51Z) - Review of Distributed Quantum Computing. From single QPU to High Performance Quantum Computing [2.2989970407820484]
distributed quantum computing aims to boost the computational power of current quantum systems.
From quantum communication protocols to entanglement-based distributed algorithms, each aspect contributes to the mosaic of distributed quantum computing.
Our objective is to provide an exhaustive overview for experienced researchers and field newcomers.
arXiv Detail & Related papers (2024-04-01T17:38:18Z) - The QUATRO Application Suite: Quantum Computing for Models of Human
Cognition [49.038807589598285]
We unlock a new class of applications ripe for quantum computing research -- computational cognitive modeling.
We release QUATRO, a collection of quantum computing applications from cognitive models.
arXiv Detail & Related papers (2023-09-01T17:34:53Z) - Quantum data learning for quantum simulations in high-energy physics [55.41644538483948]
We explore the applicability of quantum-data learning to practical problems in high-energy physics.
We make use of ansatz based on quantum convolutional neural networks and numerically show that it is capable of recognizing quantum phases of ground states.
The observation of non-trivial learning properties demonstrated in these benchmarks will motivate further exploration of the quantum-data learning architecture in high-energy physics.
arXiv Detail & Related papers (2023-06-29T18:00:01Z) - Quantum Machine Learning: from physics to software engineering [58.720142291102135]
We show how classical machine learning approach can help improve the facilities of quantum computers.
We discuss how quantum algorithms and quantum computers may be useful for solving classical machine learning tasks.
arXiv Detail & Related papers (2023-01-04T23:37:45Z) - Investigating students' strengths and difficulties in quantum computing [0.0]
An ongoing race to develop practical quantum computers and increase the quantum workforce.
This needs to be accompanied by the development of quantum computing programs, courses, and curricula.
We introduced an introductory course in quantum computing to undergraduate students and investigated the strengths and difficulties of these students.
arXiv Detail & Related papers (2022-12-05T23:46:20Z) - From Quantum Graph Computing to Quantum Graph Learning: A Survey [86.8206129053725]
We first elaborate the correlations between quantum mechanics and graph theory to show that quantum computers are able to generate useful solutions.
For its practicability and wide-applicability, we give a brief review of typical graph learning techniques.
We give a snapshot of quantum graph learning where expectations serve as a catalyst for subsequent research.
arXiv Detail & Related papers (2022-02-19T02:56:47Z) - An Introduction to Quantum Computing for Statisticians [2.3757641219977392]
Quantum computing has the potential to revolutionise and change the way we live and understand the world.
This review aims to provide an accessible introduction to quantum computing with a focus on applications in statistics and data analysis.
arXiv Detail & Related papers (2021-12-13T12:08:28Z) - Standard Model Physics and the Digital Quantum Revolution: Thoughts
about the Interface [68.8204255655161]
Advances in isolating, controlling and entangling quantum systems are transforming what was once a curious feature of quantum mechanics into a vehicle for disruptive scientific and technological progress.
From the perspective of three domain science theorists, this article compiles thoughts about the interface on entanglement, complexity, and quantum simulation.
arXiv Detail & Related papers (2021-07-10T06:12:06Z) - An Application of Quantum Annealing Computing to Seismic Inversion [55.41644538483948]
We apply a quantum algorithm to a D-Wave quantum annealer to solve a small scale seismic inversions problem.
The accuracy achieved by the quantum computer is at least as good as that of the classical computer.
arXiv Detail & Related papers (2020-05-06T14:18:44Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.