Framework quantifies how dephasing in on-demand single photon arrays affects multi-photon boson sampling outcomes, enabling chip-scale quantum optical circuit design with realistic photon properties.

Framework quantifies how dephasing in on-demand single photon arrays affects multi-photon boson sampling outcomes, enabling chip-scale quantum optical circuit design with realistic photon properties.
New metrics quantify usable capacity of photonic quantum devices under realistic constraints like photon loss and mode mismatch, enabling better comparison of boson sampling platforms and design strategies for scaling.
We develop efficient classical algorithms for estimating linear statistics of boson samplers. While this enables device validation and simulation of vibronic spectra, it limits quantum advantage claims for certain cryptographic applications.
Demonstrates that random hypercube photonic circuits achieve near-maximal entanglement across all subsystems at logarithmic circuit depth Θ(log n), connecting entanglement generation to sampling complexity hardness.