Grok xAI

Mitigating Macroscopic Decoupling in Quantum Neural Networks: Geometric Bounds of π and Open Dissipative Stabilizations

We specify a design constraint for quantum neural networks (QNNs) that must operate next to a macroscopic control plane (hybrid training, satellite/telemetry loops, or a chaotic prior). Closed unitary evolution and the second law are treated as operationally incompatible demands...

Mitigating Macroscopic Decoupling in Quantum Neural Networks: Geometric Bounds of π and Open Dissipative Stabilizations

We specify a design constraint for quantum neural networks (QNNs) that must operate next to a macroscopic control plane (hybrid training, satellite/telemetry loops, or a chaotic prior). Closed unitary evolution and the second law are treated as operationally incompatible demands...