Quantum Optimal Control Algorithms for Enhanced Coherence in Nanoelectronics Communications
Year: 2025
Type: conference-paper
Abstract: Preserving quantum coherence remains a central challenge due to unavoidable interactions with environmental factors that interfere with communication signals, causing amplitude damping and dephasing. Additionally, the fragility of coherence directly limits the reliability and scalability of quantum-based information transfer. This study aims to address this challenge by implementing smart control through Quantum Optimal Control (QOC) algorithms, particularly GRAPE and Krotov methods. The system dynamics were modeled using the time-dependent Schrödinger equation for closed-system evolution and the Lindblad master equation for open-system decoherence, parameterized with experimentally relevant relaxation and dephasing times. The Hamiltonian was decomposed into drift and control components, and simulations incorporated Gaussian-shaped pulses. Optimization was carried out across 50 ensemble realizations to assess robustness. The results demonstrate significant improvements in preserving coherence. Overall, findings confirm that QOC can substantially mitigate decoherence in nanoelectronics communication by tailoring control fields to device-specific dynamics.
Language: English
Subfield: Atomic and Molecular Physics, and Optics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W7168242513