Quantum computation

N. Pooranam, D. Surendran, N. Karthikeyan +1 more

Quantum computing (QC) is the emerging technology for solving complex problems through the laws of quantum mechanism and optimized algorithms. To examine the possibilities of active cooperation across both disciplines of computer science, this article explains the core components of quantum computing and conveys some of the important features linked by quantum computing and Artificial Intelligence (AI). To make major progress with artificial intelligence, quantum computing is probably necessary. Quantum computing’s training and processing power can be used to improve AI and machine learning (ML) algorithms at a reduced cost. AI can provide quantum computers with crucial error-correcting algorithms. Several AI algorithms have been successfully applied to quantum computers; they are constrained by the computational power of conventional computers despite developing useful applications. Artificial intelligence may benefit from quantum computing’s computational boost in order to handle more challenging issues. This case study explains the importance of quantum computing, the future of QC in AI, and the different applications of quantum computing, such as AI and ML, cybersecurity and cryptography, and weather forecasting.

John P. Preskill

Raymond Laflamme, Emanuel H. Knill

Ruslan Shaydulin, Caleb Thomas, Paige Rodeghero

Quantum computing (QC) is an emerging computing paradigm with the potential to revolutionize the field of computing. QC is a field that is quickly developing globally and has high barriers of entry. In this paper, we explore both successful contributors to the field as well as the wider QC community with the goal of understanding the backgrounds and training that helped them succeed. We gather data on 148 contributors to open source quantum computing projects hosted on GitHub and survey 46 members of QC community. Our findings show that QC practitioners and enthusiasts have diverse backgrounds, with most of them having a PhD and training in physics or computer science. We observe a lack of educational resources on quantum computing. Our goal is to use these results to start a conversation on making quantum computing more open.

Joern Ploennigs, Kay Smarsly, Markus Berger +2 more

Quantum computing is expected to offer solutions to computational problems that are otherwise computationally intractable. Although the core technology is still being developed, quantum-inspired computing already has been offering practical advantages for several computationally challenging problems. Despite the promising potential of both quantum computing and quantum-inspired computing, applications in civil engineering remain underexplored. This study aims to lay the foundation for future adoption by introducing the fundamental principles of quantum computing and quantum-inspired computing and by conducting a multivocal literature review. The review provides insights into the current research landscape in civil engineering and offers a detailed analysis of potential use cases and application areas. The findings are expected to serve as a foundation for guiding future research endeavors and practical deployments of quantum computing and quantum-inspired computing in civil engineering, as these technologies continue to mature. • Introduction to quantum and quantum-inspired computing (QC & QiC). • Identifying the pros and cons of QC & QiC given civil engineering (CE) requirements. • Presenting a multivocal literature review on QC & QiC for CE. • Recommending high-potential use cases and QC & QiC approaches in CE • Identifying research topics to advance QC & QiC in CE for real-world impact.