I should probably just read Gisin's experimental work directly, because it's not clear to me from your article exactly how the photon state (or even what state) is being determined.
Your explanation of a classical detector appears to imply the quantum-classical boundary, where quantum decoherence occurs. Perhaps you're describing macroscopic (multi-photon) detection vs. microscopic (single-photon) detection. Using a simple interferometer, for example, one can detect the average polarization state of mulitple photons by simply observing the fringes caused by constructive and destructive interference among the photons.
Nevertheless, any light detector--photodetectors, human eyes, or photographic film--is a quantum detector, by definition, because detection can only be accomplished through quantum absorption (or capture) at the atomic level. It doesn't matter whether it's a single photon or millions of them.
Is this simply doping of a direct bandgap material (not so uncommon) or some fancy smancy new thing that will ultimately lead to teleportation, a la Star Trek! Seems like a bit more info would be helpful. Anyone got a link to point to a bit more detail?
Yes, ID Quantique has customers, although not as many as they would like (the recession hit the financial community just as they were getting started which nixed their original business model, which was to get banks as customers for securing financial transactions). However, they still have more customers that the second successful quantum technology company, D-Wave (which only has Google, NASA and Lockheed).
If "any conventional photodiode" is a "classical" detector, then all photodiode detectors must also be quantum detectors, since they only work through quantum processes. My question remains unanswered: What is a non-quantum detector?
What are the engineering and design challenges in creating successful IoT devices? These devices are usually small, resource-constrained electronics designed to sense, collect, send, and/or interpret data. Some of the devices need to be smart enough to act upon data in real time, 24/7. Are the design challenges the same as with embedded systems, but with a little developer- and IT-skills added in? What do engineers need to know? Rick Merritt talks with two experts about the tools and best options for designing IoT devices in 2016. Specifically the guests will discuss sensors, security, and lessons from IoT deployments.