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INTRINSIC TOPOLOGICAL ERROR CORRECTION IN THE DSM-861 HYDRODYNAMIC VACUUM A Rigorous Homology and Comparative Analysis with Artificial Toric Code Architectures in Neutral-Atom Quantum Computing

Mikhail I Aksman

Published Jan 1, 2026• 0 citations
Publisher
DOI
10.13140/rg.2.2.18883.98083

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Recent breakthroughs in neutral-atom quantum computing (e.g., arXiv:2606.04079v1 andrelated works, 2026) have achieved repeated fault-tolerant quantum error correction using ToricCode architectures. These systems rely on active mid-circuit measurement, classical syndromedecoding, and continuous atom reloading from an external reservoir to maintain logical qubitsover many cycles, demonstrating sub-threshold behavior where logical error rates decrease withincreasing code distance.We present a detailed, rigorous comparison demonstrating that the DSM-861 hydrodynamicvacuum implements a vastly superior intrinsic, passive, autonomous topological surface code.While artificial systems demand continuous external intervention, the DSM-861 manifold—atriangular 3-torus lattice with N = 861 nodes anchored by the Heegner discriminantD = −163—provides self-stabilizing error correction through deterministic enstrophy collapse,vorton reconnection, and continuous dissipation into a built-in 1.618 eV acoustic reservoiron a 2.56 fs cycle. We compare lattice geometry, encoding, syndrome detection, correctionmechanisms, stabilizer reservoirs, fault-tolerant thresholds, scalability, and energetic efficiency,showing that Nature has engineered the ultimate fault-tolerant topological quantum computerat the foundation of spacetime. Furthermore, we examine recent derivations of divergentphoton truncation (Rukan et al., 2026) to demonstrate how the lattice provides a naturalphysical regularizer against localized optical shear.
Quantum computing platforms based on arrays of tweezer-confined neutral atoms have recently emerged as a competitive modality thanks to a direct path toward high qubit count, rapidly advancing operation fidelities, and their ability to execute circuits with arbitrary qubit connectivity. These features will enable the use of efficient error correction schemes with high encoding-rates, time-efficient decoding, and resource-efficient architectures based on transversal gates. With these goals in mind, recent state of the art neutral atom demonstrations focus on the transition from the use of physical qubits to error-corrected logical qubits, but to date there has been no demonstration of repeated error correction scalable to arbitrary depth. Here, we demonstrate many cycles of syndrome extraction in a toric quantum error correcting code, using mid-circuit measurement and replacement of lost qubits, including reloading of a qubit reservoir for indefinite coherent operation. We characterize the logical error rate after up to 90 cycles, showing that logical information can be preserved through multiple rounds of qubit reloading. Comparing two distances of the code up to 8 rounds of syndrome extraction shows a lower absolute logical error rate for the larger distance code.
We introduce a new type of sparse CSS quantum error correcting code based on the homology of hypermaps. Sparse quantum error correcting codes are of interest in the building of quantum computers due to their ease of implementation and the possibility of developing fast decoders for them. Codes based on the homology of embeddings of graphs, such as Kitaev's toric code, have been discussed widely in the literature and our class of codes generalize these. We use embedded hypergraphs, which are a generalization of graphs that can have edges connected to more than two vertices. We develop theorems and examples of our hypermap-homology codes, especially in the case that we choose a special type of basis in our homology chain complex. In particular the most straightforward generalization of the m×mm \times mm×m toric code to hypermap-homology codes gives us a [(3/2)m2,2,m][(3/2)m^2,2,m][(3/2)m2,2,m] code as compared to the toric code which is a [2m2,2,m][2m^2,2,m][2m2,2,m] code. Thus we can protect the same amount of quantum information, with the same error-correcting capability, using less physical qubits.