👉 Dual computing refers to the simultaneous use of two distinct computing models or architectures within a single system, typically combining the classical von Neumann architecture with more modern paradigms like quantum computing or specialized accelerators. In a classical von Neumann setup, data and instructions flow through a central processing unit (CPU) following a linear sequence, which can become a bottleneck for tasks requiring massive parallelism or handling complex computations. Dual computing addresses this by integrating these two models, leveraging the efficiency of traditional CPUs for general tasks and the specialized capabilities of quantum processors or GPUs for specific, computationally intensive operations. This hybrid approach optimizes performance and resource utilization, enabling more efficient solutions for complex problems across various fields like cryptography, scientific simulations, and artificial intelligence.
