[HTML][HTML] Genetic model-based success probability prediction of quantum software development projects
Context Quantum computing (QC) holds the potential to revolutionize computing by solving
complex problems exponentially faster than classical computers, transforming fields such as …
complex problems exponentially faster than classical computers, transforming fields such as …
A systematic decision-making framework for tackling quantum software engineering challenges
Quantum computing systems harness the power of quantum mechanics to execute
computationally demanding tasks more effectively than their classical counterparts. This has …
computationally demanding tasks more effectively than their classical counterparts. This has …
Quantum Adversarial Machine Learning and Defense Strategies: Challenges and Opportunities
As quantum computing continues to advance, the development of quantum-secure neural
networks is crucial to prevent adversarial attacks. This paper proposes three quantum …
networks is crucial to prevent adversarial attacks. This paper proposes three quantum …
Verification and Validation of Quantum Software
D Fortunato, L Jiménez-Navajas, J Campos… - … Software: Aspects of …, 2024 - Springer
Quantum software—like classic software—needs to be designed, specified, developed, and,
most importantly, tested by developers. Writing tests is a complex, error-prone, and time …
most importantly, tested by developers. Writing tests is a complex, error-prone, and time …
Service engineering for quantum computing: Ensuring high-quality quantum services
Context: Quantum computing is transforming the world and driving advanced applications in
fields such as healthcare and economics. However, ensuring high-quality quantum software …
fields such as healthcare and economics. However, ensuring high-quality quantum software …
Assessing the impact of noise on quantum neural networks: An experimental analysis
ET Escudero, DA Alamo, OM Gómez… - … Conference on Hybrid …, 2023 - Springer
In the race towards quantum computing, the potential benefits of quantum neural networks
(QNNs) have become increasingly apparent. However, Noisy Intermediate-Scale Quantum …
(QNNs) have become increasingly apparent. However, Noisy Intermediate-Scale Quantum …
Improving the quality of quantum services generation process: Controlling errors and noise
As the industry moves towards practical applications of quantum computing, it faces
significant obstacles such as specific platform dependency and lack of mature tools. These …
significant obstacles such as specific platform dependency and lack of mature tools. These …
Check for updates Optimizing LIME Explanations Using
I Sevillano-Garcia, J Luengo… - Hybrid Artificial Intelligent …, 2023 - books.google.com
Explainable artificial intelligence (XAI) has emerged as a crucial topic in the field of machine
learning to provide insights into the reasoning performed by artificial intelligence (AI) …
learning to provide insights into the reasoning performed by artificial intelligence (AI) …
Leveraging Quantum Artificial Intelligence for Intelligent Face Recognition on the Internet of Medical Things (IoMT) for Smart City Surveillance
H Chengxi, AS Rajawat, SB Goyal… - … Conference on Intelligent …, 2023 - Springer
Within the contemporary context of smart city infrastructures, the Internet of Medical Things
(IoMT) has the capacity to instigate a revolution in urban monitoring. Despite recent …
(IoMT) has the capacity to instigate a revolution in urban monitoring. Despite recent …
Check for updates Improving the Quality of Quantum
J Alvarado-Valiente¹, J Romero-Álvarez¹… - … , Spain, September 5 …, 2023 - books.google.com
As the industry moves towards practical applications of quantum computing, it faces
significant obstacles such as specific platform dependency and lack of mature tools. These …
significant obstacles such as specific platform dependency and lack of mature tools. These …