Bio-Topological Quantum Memory: Room-Temperature Stabilizer Codes in Mycelial Networks

Quantum error correction typically requires cryogenic temperatures and complex ancilla qubit architectures. We propose that mycelial networks, the filamentous structures of fungi, naturally implement topological quantum error correction codes at room temperature. Physical qubits correspond to bistable electrical conductance states at hyphal junctions. Network topology maps to stabilizer code structure, with plaquette and vertex operators defined on the hyphal graph. Syndrome extraction occurs through thermodynamic equilibration rather than ancilla measurements, exploiting thermal gradients to project onto code space without external measurement apparatus. We demonstrate that biological error rates of 1-5% may permit fault-tolerant operation if code thresholds can be achieved through geometric optimization. Recent experimental validation of room-temperature quantum coherence in bacterial systems and demonstrated electrical interfaces with mycelial networks provide the foundation for this framework. If successful, bio-topological quantum memory would enable quantum computing at ambient conditions with 100-fold energy reduction compared to cryogenic approaches, scalable through biological growth rather than nanofabrication.