Optimizing Quantum Key Distribution Networks Using Quantum Annealing and Gate-Based Quantum Computing
Abstract
This paper analyzes the current Quantum Key Distribution Model which is widely used and integrates quantum annealing and gate-based quantum computing to optimize the process. It talks about the basics of QKD, Annealing, and Gate-based quantum computing, their significance in today’s world, and the existing research done on them. At the end of the paper, there is a method that proposes a new approach to integrating gate-based quantum computing and quantum annealing in QKD which might not be feasible right now but when it is practically implemented it shows how this method will be efficient, effective and will have the least energy consumed.
Read the paper
Related studies
- In silico toxicology protocols
- QM7-X, a comprehensive dataset of quantum-mechanical properties spanning the chemical space of small organic molecules
- Quantum Informed Machine-Learning Potentials for Molecular Dynamics Simulations of CO2's Chemisorption and Diffusion in Mg-MOF-74
- In-silico strategies in nano-drug design: Bridging nanomaterials and pharmacological applications
- mRNA codon optimization with quantum computers
- The computational power of the human brain
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.