| Authors | Chandrappa S1, Prithviraj2, Namratha Jain S3, Guru Prasad M S4, Madhusudhana K5, Akshay M Davanageri6 |
| Affiliations |
1Department of Computer Science and Engineering, Jain (Deemed-to-be University), School of Engineering and Technology, Bengaluru, India 2Department of Computer Science and Engineering, Nitte (Deemed to be University), NMAM Institute of Technology, Nitte, Karkala, 574110 India 3Department of Physics, SDM College (Autonomous), Ujire, Karnataka, India 4Department of Computer Science and Engineering, Graphic Era (Deemed to be University), Dehradun, India 5Department of Electronics & Communication Engineering, SDM Institute of Technology, Ujire, India 6Department of Computer Science and Engineering, Dayanand Sagar University, Bengaluru, India
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| Е-mail | prithvijain28@gmail.com |
| Issue | Volume 17, Year 2025, Number 6 |
| Dates | Received 02 August 2025; revised manuscript received 15 December 2025; published online December 2025 |
| Citation | Chandrappa S, Prithviraj, et al., J. Nano- Electron. Phys. 17 No 6, 60016 (2025) |
| DOI | https://doi.org/10.21272/jnep.17(6).06016 |
| PACS Number(s) | 03.67.Lx, 07.05.Tp |
| Keywords | Physics (2) , Quantum (43) , Qubit, Hadamard, Pauli, Entanglement, Superposition, Noise (3) . |
| Annotation |
This work investigates the transformation and behavior of quantum states using Bloch sphere visualizations to provide an intuitive understanding of quantum phenomena, incorporating concepts from both quantum computing and nano physics. By applying quantum gates such as Hadamard, Pau-li-X, Pauli-Y, and Pauli-Z, the evolution of qubits is demonstrated. The study leverages principles of quantum superposition, entanglement, and coherence, which are pivotal in nanoscale systems, to analyze qubit dynamics. Additionally, phase noise, a critical factor in nanoscale quantum devices, is introduced to simulate real-world quantum errors, and fidelity is calculated to measure the robustness of quantum states under such noise. The approach addresses noise resilience in nanoscale quantum devices by combining phase noise analysis, fidelity measurement, and quantum entanglement. The novelty of the approach is emphasized through comparisons with the existing studies on quantum state tomography and machine learning-based quantum optimization. Results will have direct applications in quantum key distribution (QKD), quantum error correction, and secure quantum communication. |
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