English

Beyond Monolithic Scaling: Modularity and Heterogeneity as an Architectural Imperative for Utility-Scale Quantum Computing

Quantum Physics 2026-05-14 v2

Abstract

Scalable quantum computing is fundamentally bottlenecked not by qubit count or fabrication yield, but by a rigid temporal mismatch: macroscopic classical coordination latency (τc\tau_c) inevitably grows with system diameter, while microscopic quantum coherence (τq\tau_q) remains strictly bounded. Beyond a critical scale, this mismatch breaches the classical control light cone, triggering a superlinear geometric penalty (ϵ>0\epsilon > 0) that renders monolithic synchronization physically impossible. We formalize the resulting structural phase transition through a governing scaling law, 1+ϵ>γ1+\epsilon > \gamma, which mandates modular decomposition and a shift from global unitaries to Local Operations and Classical Communication (LOCC). To manage the resulting resource contention under strict coherence budgets, we introduce a layered semantic architecture and a time-aware Reserve--Commit protocol. By embedding predictive temporal pre-validation, the protocol acts as an architectural semantic classifier: it preemptively aborts transactions that exceed the causal horizon and explicitly converts scheduling-induced failures into location-known erasure metadata, directly relaxing hardware fidelity thresholds for downstream QEC decoders. Under near-term transduction targets (ηtrans0.1\eta_{\mathrm{trans}} \sim 0.1), we project a crossover scale at Nc105N_c \sim 10^5--10610^6 physical qubits. This threshold marks a profound architectural convergence: the footprint required for modularity aligns precisely with early fault-tolerant utility, establishing time-aware distributed orchestration, rather than monolithic expansion or centralized classical control, as the physical imperative for utility-scale quantum computing.

Keywords

Cite

@article{arxiv.2604.24059,
  title  = {Beyond Monolithic Scaling: Modularity and Heterogeneity as an Architectural Imperative for Utility-Scale Quantum Computing},
  author = {Bo Fan and Renzhou Fang and Yuntao Zhang and Xiaolong Yuan and Dafa Zhao},
  journal= {arXiv preprint arXiv:2604.24059},
  year   = {2026}
}

Comments

21 pages, 5 figures, 1 table

R2 v1 2026-07-01T12:36:25.277Z