Quantum computing for cybersecurity in healthcare systems: A multi-modal approach
Abstract
Quantum computation bridges the foundations of computer science and quantum mechanics, holding transformative potential for healthcare systems. This paper explores quantum computing's enhancement of cybersecurity in healthcare systems through quantum encryption implementation. Our 12-month study at the Royal Hospital in Ghana, leveraging cloud-based quantum computing services, demonstrates quantitative improvements of 66.67% in data throughput and 71.88% in decryption speed (p < 0.001) compared to traditional encryption systems. Through rigorous performance and security testing using quantum simulation and cloud-based quantum resources, we show that quantum-based encryption algorithms offer statistically significant improvements in both data processing efficiency (p < 0.001) and resistance to advanced cyberattacks (resistant to 98.7% of quantum attacks compared to 45.3% for traditional systems). While implementation costs remain a challenge (estimated at 5,000,000 GHS), the enhanced security and efficiency metrics suggest quantum encryption is a viable solution for securing sensitive healthcare information. This study provides empirical evidence supporting the integration of quantum cryptography with existing healthcare infrastructure, particularly in resource-constrained environments.
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.