The article confirms the increasing level of involvement of the international community in the development of quantum technologies. In the scientific space in the domestic segment, the authors have identified a significant lag between the level and quality of existing educational programs of higher educational institutions in relation to international practical achievements in the field of development and programming of quantum computing devices. In order to eliminate the existing scientific and methodological gap, it is recommended to introduce relevant subjects into the educational programs of enlarged groups of training areas 09.00.00 and 10.00.00 as separate disciplines, or into already existing [disciplines], and expand them to study the possibilities of quantum programming methods. Based on their own teaching experience, the authors propose a possible strategy for making appropriate changes, as well as options for adjusting the work programs of disciplines that include tasks for programming quantum computing devices.
The article confirms the increasing level of involvement of the international community in the development of quantum technologies. In the scientific space in the domestic segment, the authors have identified a significant lag between the level and quality of existing educational programs of higher educational institutions in relation to international practical achievements in the field of development and programming of quantum computing devices. In order to eliminate the existing scientific and methodological gap, it is recommended to introduce relevant subjects into the educational programs of enlarged groups of training areas 09.00.00 and 10.00.00 as separate disciplines, or into already existing [disciplines], and expand them to study the possibilities of quantum programming methods. Based on their own teaching experience, the authors propose a possible strategy for making appropriate changes, as well as options for adjusting the work programs of disciplines that include tasks for programming quantum computing devices.
This article explores educational initiatives for teaching quantum technologies in schools and universities, highlighting their purposes, methodologies, and challenges. In order to bring students closer to the fundamental concepts of quantum technologies, several teaching programs adopt interactive activities and simulators, offering a practical and intuitive introduction to the subject. The need for qualified professionals in the area is growing, because of the advancement of quantum computing, a great demand for specialized labor is expected in the coming years. Industries in several sectors already recognize the potential of this technology, reinforcing the urgency of training professionals capable of developing and applying quantum solutions. An exploratory survey was conducted of institutions that have integrated SPINQ quantum computers, compact devices that are relatively more affordable than traditional quantum computers, which offer a practical and interactive experience. With them, students visualize theoretical concepts in a practical context, promoting greater understanding and interest in the field. However, the adoption of quantum computers in education faces substantial challenges. High costs, limited infrastructure and a lack of specialized teachers are the main barriers, especially in countries with lower investment in education. Thus, while quantum technologies show great educational potential, their implementation requires significant structural investments to become viable and effective.
This article offers perspective on quantum computing programming languages, as well as their emerging runtimes and algorithmic modalities. With the scientific high-performance computing (HPC) community as a target audience, we describe the current state of the art in the field, and outline programming paradigms for scientific workflows. One take-home message is that there is significant work required to first refine the notion of the quantum processing unit in order to integrate in the HPC environments. Programming for today’s quantum computers is making significant strides toward modern HPC-compatible workflows, but key challenges still face the field.
There are no doubts that quantum programming and, in general, quantum computing, is one of the most promising areas within computer science and one of the areas where most expectations are being placed in recent years. Although the days when reliable and affordable quantum computers will be available is still a long way off, the explosion of programming languages for quantum programming has grown exponentially in recent years. The software engineering community has been quick to react to the need to adopt and adapt well-known tools and methods for software development, and for the design of new ones tailored to this new programming paradigm. However, many key aspects for its success depend on the establishment of an appropriate conceptual framework for the conception and design of quantum programs. This article discusses the concept of module, key in the software engineering discipline, and establishes initial criteria for determining the cohesion and coupling levels of a module in the field of quantum programming as a first step towards a sound quantum software engineering. As detailed in the article, the conceptual differences between classical and quantum computing are so pronounced that the translation of classical concepts to the new programming approach is not straightforward.
Background. The relevance of the study is due to the fact that today one of the most serious fundamental challenges for technology companies is that the needs for computing power are constantly growing. The business environment is increasingly moving towards a new computing paradigm. Quantum technologies may be one of the answers to this challenge. The purpose of the study is to assess the current state of quantum computing and determine the direction of development of this area, as well as obstacles and limitations in the use of quantum technologies. Materials and methods. The empirical basis of the study was research from the AIRI Institute of Artificial Intelligence, as well as research from CaixaBank, TotalEnergies, Quantinuum, authors B.G. Ibrahimov, A.O. Orujov, A.H. Hasanov, K.M. Tahirova in the article "Research and analysis efficiency fiber optical communication lines using quantum technology". Results. The author of this study presents the main advantage of quantum computing, noting that they are based on completely different principles than traditional ones, and will use their own hardware and mathematical base. The study presents the results of research and experiments in the field of quantum computing achieved by oil companies. The work done and the experience gained made it possible to formulate the key challenges for the development of quantum computing in industrial companies. Conclusions. The practical significance of this research lies in the fact that it will allow the business community, as well as government authorities, to develop a development strategy in the new computing paradigm. Will allow companies to develop effective strategies when solving optimization problems and advanced computing architectures.
Recently, there has been a rapid increase in interest in quantum computers. Their work isbased on the use of quantum-mechanical phenomena such as superposition and entanglement forcomputing to transform input data into outputs that can actually provide effective performance3–4 orders of magnitude higher than any modern computing devices, which will allow solving theabove and others. tasks in real- and accelerated-time scale. This article is devoted to solving theproblem of research and development of methods for optimizing quantum computing within theframework of the application of quantum accelerators. A block diagram of a hardware acceleratoris proposed to increase the performance of simulated quantum computing. The development of thestructural diagram of the communication module of the hardware accelerator and the softwaremodel was carried out. The relevance of these studies lies in mathematical and software modelingand implementation of correction codes for correcting several types of quantum errors in the developmentand implementation of quantum algorithms for solving classes of problems of a classicalnature. The scientific novelty of this direction is expressed in the elimination of one of the disadvantagesof the quantum computational process. The scientific novelty of this area is primarilyexpressed in the constant updating and supplementation of the field of quantum research in anumber of areas, and the computer simulation of quantum physical phenomena and features ispoorly covered in the world.
Quantum computing harnesses quantum laws of nature to enable new types of algorithms, not efficiently possible on traditional computers, that may lead to breakthroughs in crucial areas like materials science and chemistry. There is rapidly growing demand for a quantum workforce educated in the basics of quantum computing, in particular in quantum programming. However, there are few offerings for non-specialists and little information on best practices for training computer science and engineering students. In this report we describe our experience teaching an undergraduate course on quantum computing using a practical, software-driven approach. We centered our course around teaching quantum algorithms through hands-on programming, reducing the significance of traditional written assignments and relying instead on self-paced programming exercises ("Quantum Katas''), a variety of programming assignments, and a final project. We observed that the programming sections of the course helped students internalize theoretical material presented during the lectures. In the survey results, students indicated that the programming exercises and the final project contributed the most to their learning process. We describe the motivation for centering the course around quantum programming, discuss major artifacts used in this course, and present our lessons learned and best practices for a future improved course offering. We hope that our experience will help guide instructors who want to adopt a practical approach to teaching quantum computing and will enable more undergraduate programs to offer quantum programming as an elective.