Existing models of quantum photonic neural networks falsely assume perfect solid-state emitters, overlooking a hidden flaw that discards up to 81% of detected photons. This work reveals pure dephasing doesn’t alter an emitter's essential nonlinear phase, a vital element for these networks, but instead destroys the amplitude carrying it. A new closed-form solution accounts for this effect where previous theories failed, offering a path towards building practical devices.
Queen’s University Pins Conditional Phase Despite Emitter Decay
Existing models of quantum photonic neural networks falsely assume perfect solid-state emitters, overlooking a hidden flaw that discards up to 81% of detected photons. This work reveals pure dephasing doesn’t alter an emitter's essential nonlinear phase, a vital element for these networks, but instead destroys the amplitude carrying it. A new closed-form solution accounts for this effect where previous theories failed, offering a path towards building practical devices.