aiqbench analysis
This paper is a methods study in quantum optics simulation: it shows that naively truncating the set of photonic modes distorts results, then offers a consistency condition for recalibrating input parameters. The authors report roughly a 100x reduction in propagation cost on a waveguide benchmark and extend the approach to a 2D atomic array. For readers building simulation tools for photonic quantum networks, the practical takeaway is that cheaper simulations are feasible if the mode-truncation parameters are calibrated rather than chosen ad hoc, though the gains are demonstrated on specific benchmark models.
Bandwidth-Cost Reduction for Photon-Matter Simulation at the Single-Photon Level
arXiv:2601.15945v3 Announce Type: replace Abstract: Simulations of quantum dynamics of traveling photons interacting with matter can be used to model and design photonic quantum-network components. Such simulations require selecting a finite set of photonic modes, where smaller sets are more desirable for computational efficiency. In this work, however, we show that opting for smaller subsets alters simulation results, if done naively. We therefore provide a consistency condition that can be used to calibrate the simulation input parameters to increase efficiency while preserving accuracy, simultaneously. This condition is then used to derive a simple prescription that reduces the propagation cost by two order of magnitude in a waveguide benchmark. Finally, we extend the same calibration principle to a two-dimensional atomic array, demonstrating the simultaneous benefits beyond analytically solvable waveguide models.
Abstract:Simulations of quantum dynamics of traveling photons interacting with matter can be used to model and design photonic quantum-network components. Such simulations require selecting a finite set of photonic modes, where smaller sets are more desirable for computational efficiency. In this work, however, we show that opting for smaller subsets alters simulation results, if done naively. We therefore provide a consistency condition that can be used to calibrate the simulation input parameters to increase efficiency while preserving accuracy, simultaneously. This condition is then used to derive a simple prescription that reduces the propagation cost by two order of magnitude in a waveguide benchmark. Finally, we extend the same calibration principle to a two-dimensional atomic array, demonstrating the simultaneous benefits beyond analytically solvable waveguide models.
28 pages, 12 figures. This submission includes the main manuscript and supplementary material. The title has been revised compared to previous versions
arXiv:2601.15945 [quant-ph]
(or arXiv:2601.15945v3 [quant-ph] for this version)
Full text under the publisher's open licence · 154 words