Quantum machine learning is a rapidly developing field that has the potential to revolutionize the way we approach complex problems in cryptography. With the advent of quantum computing, traditional cryptographic methods are becoming increasingly vulnerable to attacks, and new techniques are needed to ensure the security of sensitive information. Quantum machine learning is one such technique that is gaining traction in the field of quantum cryptanalysis.
At its core, quantum machine learning is a method of using quantum computers to analyze and classify data. It involves the use of quantum algorithms to process large amounts of data and extract meaningful patterns and insights.