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

• URL: http://arxiv.org/abs/2604.24059v1
• Date: Mon, 27 Apr 2026 05:31:39 GMT
• Title: Beyond Monolithic Scaling: Modularity and Heterogeneity as an Architectural Imperative for Utility-Scale Quantum Computing
• Abstract summary: We formalize a structural transition from global unitaries to Local Operations and Classical Communication.<n>We introduce a layered semantic architecture and a time-aware Reserve--Commit protocol.<n>We project a crossover scale at $N_c sim 105$--$106$ physical qubits.
• Score: 1.9732867569923458
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Scalable quantum computing is fundamentally bottlenecked not by qubit count or fabrication yield, but by a rigid temporal mismatch: macroscopic classical coordination latency ($τ_c$) inevitably grows with system diameter, while microscopic quantum coherence ($τ_q$) remains strictly bounded. Beyond a critical scale, this mismatch breaches the classical control light cone, triggering a superlinear geometric penalty ($ε> 0$) that renders monolithic synchronization physically impossible. We formalize the resulting structural phase transition through a governing scaling law, $1+ε> γ$, 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 ($η_{\mathrm{trans}} \sim 0.1$), we project a crossover scale at $N_c \sim 10^5$--$10^6$ 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.

Related papers

• Physics-Constrained Conditional Generative Learning for Quantum State and Process Tomography [0.0]
  Quantum state and process tomography constitute essential diagnostic tools in quantum information science.<n>We introduce a physics-constrained conditional generative adversarial network that bypasses iterative constrained inversion.<n>Results suggest that physically constrained generative learning offers a scalable and amortizable pathway toward data-driven tomography for noisy intermediate-scale quantum devices.
  arXiv  Detail & Related papers  (2026-08-28T07:50:30Z)
• Scalable Lindblad Noise Learning via Stochastic Tensor-Network Simulation [48.887627688666974]
  Learning dissipation rates in large-scale open quantum systems is a major obstacle for near-term quantum technologies.<n>Here, we propose a scalable noise-learning framework for Lindblad dissipation rates that combines a simulation method, the Jump Method (TJM)<n>We demonstrate the approach on two noise models in the Ising model, in which independent dissipation rates are learned for each site up to $N_mathrmsite=16$.<n>This combination of scalable numerics and rigorous theoretical guarantees positions TJM-based noise learning as a practical foundation for characterizing dissipation in large quantum devices.
  arXiv  Detail & Related papers  (2026-08-25T15:07:11Z)
• Taming Spacetime Overhead and Design Complexity in Distributed Fault-Tolerant Superconducting Quantum Computation [3.245713449100396]
  We present a hardware-grounded architectural co-design for surface-code-based modular processors.<n>The design confines inter-chip latency and noise to module boundaries, preventing slow links from inducing prohibitive spacetime overhead.<n>Results establish a viable route to distributed fault-tolerant superconducting quantum computation.
  arXiv  Detail & Related papers  (2026-08-24T12:07:55Z)
• The HALO Engine: $\mathcal{O}(1)$-Step Compilation and Localized String Rupture for Lattice Gauge Theories on Quantum Hardware [0.0]
  We introduce the Hardware-Aware Lattice Optimization (HALO) compiler, which executes global time-evolution steps in an immutable $mathcalO(1)$ circuit depth per Trotter step.<n>We execute the non-perturbative dynamics of a heavily stretched $L=15$ meson string on a 16-qubit superconducting transmon processor.<n>We map the dynamical phase diagram of the mesoscopic lattice, pinpointing the effective confinement phase boundary at precisely $g_c = 1.0$.
  arXiv  Detail & Related papers  (2026-08-14T13:07:47Z)
• Quantum-classical crossover in fault-tolerant quantum dynamics simulation [56.198154828333685]
  We introduce a scalable fault-tolerant framework that combines coherent observable estimation with a space-time-efficient implementation of non-Clifford rotations.<n>A benchmark against state-of-the-art tensor-network and variational Monte Carlo algorithms reveals a concrete crossover for mixed-field Ising dynamics.
  arXiv  Detail & Related papers  (2026-07-17T16:54:25Z)
• Quantum Dynamic Time Warping for Multivariate Time Series Classification [41.99844472131922]
  We propose a hybrid Quantum Dynamic Time Warping architecture, replacing the classical distance metric with the parameterized geometry of a quantum Hilbert space.<n>We demonstrate this architecture allows untrained quantum kernels to act as highly expressive baselines, while parameterized training effectively untangles deeply overlapping hyper-dimensional data.
  arXiv  Detail & Related papers  (2026-06-26T07:58:37Z)
• CAWN: Continuous Acoustic Wave Networks for Autoregressive Language Modeling [46.16066322190728]
  We introduce the Continuous Acoustic Wave Network (CAWN), a fully continuous sequence-mixing architecture.<n>Instead of discrete matrix-based attention, CAWN projects hidden states into multi-headed complex-domain phasors.<n>To prevent signal degradation over ultra-long contexts, we introduce a dual-gated Selective Phase Resonance mechanism.
  arXiv  Detail & Related papers  (2026-04-05T20:13:22Z)
• A Scalable Distributed Quantum Optimization Framework via Factor Graph Paradigm [46.08923284345648]
  We introduce a structure-aware framework for distributed quantum optimization.<n>We find that for a search space of size $N$, our framework achieves $O(sqrtN)$ query complexity up to processors and separator dependent factors.<n>We show that structure-aware decomposition delivers a practical path to scalable distributed quantum optimization on quantum networks.
  arXiv  Detail & Related papers  (2026-03-08T15:15:52Z)
• Quantum Memory and Autonomous Computation in Two Dimensions [0.0]
  We present a simple method for autonomous quantum error correction in two spatial dimensions.<n>The construction uses hierarchical, self-simulating control elements based on the classical schemes from the seminal results of Gcs (1986, 1989)
  arXiv  Detail & Related papers  (2026-01-28T18:13:06Z)
• Phase Transition for Budgeted Multi-Agent Synergy [41.486076708302456]
  Multi-agent systems can improve reliability, yet under a fixed inference budget they often help, saturate, or even collapse.<n>We develop a minimal and calibratable theory that predicts these regimes from three binding constraints of modern agent stacks.
  arXiv  Detail & Related papers  (2026-01-24T05:32:50Z)
• Continual Quantum Architecture Search with Tensor-Train Encoding: Theory and Applications to Signal Processing [68.35481158940401]
  CL-QAS is a continual quantum architecture search framework.<n>It mitigates challenges of costly encoding amplitude and forgetting in variational quantum circuits.<n>It achieves controllable robustness expressivity, sample-efficient generalization, and smooth convergence without barren plateaus.
  arXiv  Detail & Related papers  (2026-01-10T02:36:03Z)
• Exploiting Movable Logical Qubits for Lattice Surgery Compilation [43.290156259065554]
  We introduce a paradigm shift by exploiting movable logical qubits via teleportation during the logical lattice surgery CNOT gate.<n> Numerical simulations show that the proposed approach can substantially reduce the routed circuit depth.<n>An open-source implementation of our method is available on GitHub.
  arXiv  Detail & Related papers  (2025-12-03T19:00:04Z)
• Optimal quantum learning in proximity to universality [0.0]
  boundary between classically simulable and computationally superior quantum systems is fundamental to identifying true quantum advantage.<n>We introduce a tunable $N$-qubit random circuit model, where a fraction $p$ of Clifford gates are probabilistically substituted with nonstabilizing conditional-$hatT$ gates.<n>We establish a direct correspondence between the reservoir's performance on temporal processing tasks and its entanglement spectrum statistics and long-range nonstabilizer resource content.
  arXiv  Detail & Related papers  (2025-10-21T13:27:41Z)
• Explicit Quantum Circuits for Simulating Linear Differential Equations via Dilation [0.0]
  We present a concrete pipeline that connects the dilation formalism with explicit quantum circuit constructions.<n>On the analytical side, we introduce a discretization of the continuous dilation operator that is tailored for quantum implementation.<n>We prove that the resulting scheme achieves a global error bound of order $O(M-3/2)$, up to exponentially small boundary effects.
  arXiv  Detail & Related papers  (2025-09-20T18:54:49Z)
• Realization of arbitrary doubly-controlled quantum phase gates [62.997667081978825]
  We introduce a high-fidelity gate set inspired by a proposal for near-term quantum advantage in optimization problems. By orchestrating coherent, multi-level control over three transmon qutrits, we synthesize a family of deterministic, continuous-angle quantum phase gates acting in the natural three-qubit computational basis.
  arXiv  Detail & Related papers  (2021-08-03T17:49:09Z)
• Implementing a Fast Unbounded Quantum Fanout Gate Using Power-Law Interactions [0.9634136878988853]
  Power-law interactions with strength decaying as $1/ralpha$ in the distance provide an experimentally realizable resource for information processing. We leverage the power of these interactions to implement a fast quantum fanout gate with an arbitrary number of targets. We show that power-law systems with $alpha le D$ are difficult to simulate classically even for short times, under a standard assumption that factoring is classically intractable.
  arXiv  Detail & Related papers  (2020-07-01T18:00:00Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.