👉 Morgan computing, named after mathematician Marvin L. Morgan, is a theoretical framework that extends the principles of quantum computing to include not just qubits but also classical bits and other computational elements. This approach aims to create hybrid systems that leverage the strengths of both quantum and classical computing, potentially solving complex problems more efficiently than either alone. By integrating classical computing resources with quantum ones, Morgan computing seeks to optimize problem-solving processes in areas like cryptography, optimization, and simulation, where classical methods struggle due to computational limitations. This hybrid model is particularly promising for practical applications, as it can utilize existing classical infrastructure while gradually incorporating quantum capabilities.
