Quantum error correction through active inference control flow
Researchers demonstrate that biological survival strategies can be mapped onto quantum topological networks to optimize resource-constrained control.
Implementing active inference via tensor networks allows quantum control systems to minimize prediction errors, potentially reducing the resource overhead for quantum error correction in complex, noisy environments.