Beyond Monolithic Scaling: Modularity and Heterogeneity as an Architectural Imperative for Utility-Scale Quantum Computing
Bo Fan, Renzhou Fang, Yuntao Zhang, Xiaolong Yuan, Dafa Zhao

TL;DR
This paper argues that to achieve utility-scale quantum computing, modular and heterogeneous architectures are essential due to fundamental temporal mismatches in classical control and quantum coherence, leading to a shift from monolithic designs.
Contribution
It formalizes a scaling law for quantum system architecture, introduces a layered semantic control protocol, and identifies a crossover scale where modularity becomes necessary for fault-tolerance.
Findings
A critical system size of 10^5–10^6 qubits is identified for modularity.
Time-aware scheduling can relax hardware fidelity requirements.
Modular architectures are shown to be essential beyond a certain scale.
Abstract
Scalable quantum computing is fundamentally bottlenecked not by qubit count or fabrication yield, but by a rigid temporal mismatch: macroscopic classical coordination latency () inevitably grows with system diameter, while microscopic quantum coherence () remains strictly bounded. Beyond a critical scale, this mismatch breaches the classical control light cone, triggering a superlinear geometric penalty () that renders monolithic synchronization physically impossible. We formalize the resulting structural phase transition through a governing scaling law, , 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…
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