The world of cybersecurity is constantly evolving, with new threats emerging every day. As technology advances, so do the methods used by cybercriminals to breach security systems. In recent years, the use of artificial intelligence (AI) and machine learning has become increasingly popular in the fight against cybercrime. However, with the emergence of quantum computing, the potential for quantum-enhanced cybersecurity threat detection has become a topic of great interest.
Quantum machine learning is a relatively new field that combines the principles of quantum mechanics with machine learning algorithms. The aim is to create more powerful and efficient algorithms that can process large amounts of data and make more accurate predictions.