Spin Simulators based on Exciton-Polariton Waveguide Networks
Abstract
Many NP-hard optimization problems can be mapped onto interacting spin systems, whose ground state encodes the optimal solution. Polaritonic implementations based on gain-dissipative dynamics have recently emerged as promising analog computing platforms owing to their intrinsic parallelism and ultrafast operation. However, existing approaches are hindered by two fundamental limitations: maintaining the homogeneous amplitudes required for faithful problem encoding remains challenging in realistic physical systems, and most architectures are restricted to nearest-neighbour interactions, severely limiting the variety of optimization problems that can be efficiently addressed. We introduce a feasible polaritonic XY simulator based on a reconfigurable waveguide platform that overcomes both limitations. Our approach guarantees amplitude homogeneity while enabling the implementa- tion of arbitrary symmetric coupling matrices, thereby allowing the direct encoding of a wide variety of XY Hamiltonians. These results establish a practical architecture for programmable polaritonic spin simulators and pave the way towards scalable optical hardware for analog optimisation.
Related
- Observation of a supersolid phase in a spin-orbit coupled exciton-polariton Bose-Einstein condensate
- Neural Networks with Exciton-Polariton Waveguides
- Exciton-polariton condensates in epsilon-near-zero cavities
- Hidden chirality and half-vortex formation in exciton-polariton condensates
- Temporal Signature of Bosonic Stimulation Induced by Dark Exciton in a Two-photon Pumped Polariton Condensate
BibTeX
@misc{dini2026spin,
title = {{Spin Simulators based on Exciton-Polariton Waveguide Networks}},
author = {Kevin Dini and Simone Zanotti and Timothy C. H. Liew},
howpublished = {arXiv},
year = {2026},
month = nov,
doi = {10.48550/arxiv.2611.06087},
eprint = {2611.06087},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2611.06087},
}
RIS
TY - UNPB
TI - Spin Simulators based on Exciton-Polariton Waveguide Networks
AU - Kevin Dini
AU - Simone Zanotti
AU - Timothy C. H. Liew
PY - 2026
DA - 2026/11/04
PB - arXiv
DO - 10.48550/arxiv.2611.06087
UR - https://arxiv.org/abs/2611.06087
AB - Many NP-hard optimization problems can be mapped onto interacting spin systems, whose ground state encodes the optimal solution. Polaritonic implementations based on gain-dissipative dynamics have recently emerged as promising analog computing platforms owing to their intrinsic parallelism and ultrafast operation. However, existing approaches are hindered by two fundamental limitations: maintaining the homogeneous amplitudes required for faithful problem encoding remains challenging in realistic physical systems, and most architectures are restricted to nearest-neighbour interactions, severely limiting the variety of optimization problems that can be efficiently addressed. We introduce a feasible polaritonic XY simulator based on a reconfigurable waveguide platform that overcomes both limitations. Our approach guarantees amplitude homogeneity while enabling the implementa- tion of arbitrary symmetric coupling matrices, thereby allowing the direct encoding of a wide variety of XY Hamiltonians. These results establish a practical architecture for programmable polaritonic spin simulators and pave the way towards scalable optical hardware for analog optimisation.
ER -