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This research demonstrates how driven-dissipative polariton networks can overcome scalability limits in analog quantum simulation by enforcing an incompressible regime and utilizing weak Hermitian pulses to escape local energy minima. The study successfully simulates macroscopic XY spin systems with up to 10,000 spins, showing significant energy reductions and performance advantages over classical Monte Carlo baselines without requiring external fine-tuning.
Source coveringarXiv

Emergent Incompressibility in Polariton Condensates for Scalable XY Spin Simulation

arXiv2 min read

arXiv:2611.05782v1 Announce Type: cross Abstract: Driven-dissipative polariton networks offer a powerful analog platform for simulating continuous-spin Hamiltonians. However, their practical scalability is fundamentally limited by amplitude-phase coupling and metastable trapping in highly frustrated energy landscapes. Here, we present an \textit{in situ} dual-enhancement mechanism to address these bottlenecks without requiring external site-specific fine-tuning. First, a renormalization-group analysis based on density rescaling shows that higher-order nonlinear loss drives the condensates toward an incompressible regime, intrinsically suppressing amplitude fluctuations and enforcing phase-only dynamics. For macroscopic XY networks (up to 10,000 spins), this phase-amplitude decoupling yields a more than 50-fold reduction in energy, while simultaneously shrinking the standard deviation by a factor of six. More generally, it restores the extensive scaling of the optimized XY energy with system size. Second, to navigate the rugged, nonconvex energy landscape, we introduce weak Hermitian pulses. When implemented through a multistage protocol, these pulses enable repeated escapes from local minima and drive the system to deeper energy minima. Benchmarking shows an increasing advantage with system size, with the polariton simulator outperforming the classical Monte Carlo-SQP baseline in every sampled macroscopic realization. Our work provides a physical framework for scalable polariton analog computing.

Abstract:Driven-dissipative polariton networks offer a powerful analog platform for simulating continuous-spin Hamiltonians. However, their practical scalability is fundamentally limited by amplitude-phase coupling and metastable trapping in highly frustrated energy landscapes. Here, we present an \textit{in situ} dual-enhancement mechanism to address these bottlenecks without requiring external site-specific fine-tuning. First, a renormalization-group analysis based on density rescaling shows that higher-order nonlinear loss drives the condensates toward an incompressible regime, intrinsically suppressing amplitude fluctuations and enforcing phase-only dynamics. For macroscopic XY networks (up to 10,000 spins), this phase-amplitude decoupling yields a more than 50-fold reduction in energy, while simultaneously shrinking the standard deviation by a factor of six. More generally, it restores the extensive scaling of the optimized XY energy with system size. Second, to navigate the rugged, nonconvex energy landscape, we introduce weak Hermitian pulses. When implemented through a multistage protocol, these pulses enable repeated escapes from local minima and drive the system to deeper energy minima. Benchmarking shows an increasing advantage with system size, with the polariton simulator outperforming the classical Monte Carlo-SQP baseline in every sampled macroscopic realization. Our work provides a physical framework for scalable polariton analog computing.

Mesoscale and Nanoscale Physics (cond-mat.mes-hall); Adaptation and Self-Organizing Systems (nlin.AO); Quantum Physics (quant-ph)

arXiv:2611.05782 [cond-mat.mes-hall]

(or arXiv:2611.05782v1 [cond-mat.mes-hall] for this version)

https://doi.org/10.48550/arXiv.2611.05782 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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Full text under the publisher's open licence · 293 words

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