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Building a Cheap, Scalable, Error Corrected, Room Temperature, Topological Quantum Computer with Current Technology Using Only Social Networks of People

Trevor Nestor

Published Nov 7, 2025• 0 citations
Publisher
DOI
10.2139/ssrn.5585832

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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.
Quantum computing promises an exponentially higher computational power than classical computers; although all the building blocks have become available, certain constraints still prevent quantum advantage. The fundamental challenge in building a practical quantum computer is integrating thousands of highly coherent qubits with the control and readout electronics. The need for a high‐coherence qubit drives the effort for quantum error correction algorithms to create fault‐tolerant quantum systems. Error correction becomes tangible in a quantum processor only in large numbers of qubits. Thus, the other challenge is reducing the number of physical interconnects (coaxial lines) between the quantum–classical interface and bulky room‐temperature electronics. To interface thousands of qubits, interconnects can be reduced by bringing the control and readout electronics near the quantum processor. Cryogenic complementary metal–oxide–semiconductor (CMOS) technology has been an ideal candidate for this purpose. Integrated control and readout at cryogenic temperatures require low power dissipation circuit designs and techniques such as frequency‐division multiplexing (FDM) due to the finite cooling power of a dilution refrigerator. Herein, an overview of each building block in a superconducting quantum computer is provided, focusing on scalability. Furthermore, this article is concluded with an outlook discussing current challenges and future directions for the scalable superconducting control and readout.