Convergence of Cloud Quantum Computing, IoT, and AI: Advancing Machine Learning Applications

@article{1707336,
      author = {Amjad Khan, Radha Raman Chandan},
      title = {Convergence of Cloud Quantum Computing, IoT, and AI: Advancing Machine Learning Applications},
      journal = {Iconic Research And Engineering Journals},
      year = {2025},
      volume = {8},
      number = {9},
      pages = {1579-1591},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1707336.pdf},
      abstract = {Quantum computing (QC) is a rapidly developing discipline that?applies principles of quantum physics to improve the capabilities of traditional computers and other instruments. With much faster?speed of processing each data it can be used on multiple problems. While there are many potential applications for QC, three of the most interesting are: network optimization, quantum simulation, and?unstructured search. Its enhanced speed and precision could benefit several current?technologies, especially machine learning. In this study, the authors will examine what benefits?IoT might begin to receive with the adoption of the principles used in QC and how to make it more secure, faster and accurate. Some ways to do this which I am aware of are quantum digital marketing, quantum-owned smart locks, faster processing at endpoints of IoT, due to data being transferred at speeds (in megabytes or gigabytes), thus this leaves?us to implement QC for network optimization in IoT, as well as protection as you are aware that in IoT there are huge amounts of data and this can be protected by using QC wherein protection of IoT can be ensured.},
      keywords = {Telecommunication Security, Quantum Computing, -Quantum Entanglement, Quantum Information, And Quantum Computing Techniques.},
      month = {March},
  }