Quantum computing is based on quantum mechanics and the qubit, a unit that can exist in multiple states due to superposition
Data Science uses machine learning and statistics to find patterns and predictions in datasets
Quantum computing can accelerate data science applications like data analysis and decision-making by performing complex calculations at unprecedented speeds
Quantum-enhanced machine learning algorithms, efficient optimization, and novel data clustering and dimensionality reduction methods are part of this synergy
Quantum machine learning(QML) connects quantum computing and traditional machine learning
Quantum machine learning models reveal hidden data patterns for better insights and predictions
The intersection of quantum machine learning and data security is significant. Quantum computing can break popular encryption methods but also enable quantum-resistant encryption
Quantum machine learning (QML) has many applications across many fields and pushes the limits of what was previously possible