Computation is not an algorithm, it is a Physical Process.

While conventional bit operations consume information and generate heat, our system pursues unitary evolution based on the law of conservation of energy. 

This ensures information integrity and enables ultra-precise computation, even within highly complex phase spaces. 

Instead of processing data as mere numbers, we map it into coordinates within a multidimensional phase space. 

Through complex phase resonance, the system physically converges onto the optimal energy state among trillions of possibilities. 

To eliminate the bottleneck, we adopt a neuromorphic architecture where the computing unit  inherently retains its physical state, enabling self-driven evolution. 

This is a hardware-level implementation of how neural networks operate in nature.