Meltblown nonwoven machine have several ways to optimize fiber entanglement:
Increase the photon flux or brightness of the entangled photon source.
More entangled photons mean a higher signal to noise ratio and stronger entanglement. This can be achieved by improving the nonlinear optical process that generates the entangled photons or using more powerful lasers.
Improve the spectral purity and indistinguishability of the entangled photons.
Nearly identical photons that are emitted at the same wavelength or frequency will have higher entanglement. Using narrowband filters and engineering the nonlinear process can help.
Increase the spatial and temporal overlap of the entangled photon modes.
Proper mode matching of the photons leads to higher entanglement. Achieving good spatial, spectral and temporal overlap requires precise engineering and control of the optical system.
Reduce environmental disturbances and decoherence effects.
Entanglement is fragile and decoheres easily due to coupling to the environment. Using more stable optical components, reducing stray light and shielding from environmental noise can help preserve entanglement.
Develop more advanced entanglement distribution protocols.
New protocols have been developed to distribute entanglement over larger distances or in noisy channels. Protocols like quantum error correction coding, decoherence-free subspaces and repeaters can boost distributed entanglement.
Demonstrate new types of entangled states.
Higher-dimensional entanglement, hyperentanglement, entanglement of formation and steady-state entanglement are some examples which theoretically enable new quantum information processing tasks. Generating these states experimentally remains a challenge.
Integrate multiple entangled systems.
Combining multiple entangled photon sources or satellite-ground links can lead to new levels of entanglement complexity, scale and applications. But increasing the size and complexity of entangled systems also increases the challenges.