[dekhn]

The bullshit ratio in quantum computing is the highest I've seen in any field, followed only by ML (the difference being that there is ML non-bullshit, while quantum computing hasn't been shown to be useful for any real problem, but there have been huge advances in the underlying technologies).

[krastanov]

Quantum sensing is a pretty huge *practical* advance that is due to the overall work of Quantum Information Science (computing included).

[fsh]

To my knowledge the only "practical" application of quantum sensing so far has been the use of squeezed light in some gravitational wave detectors. However, this has absolutely nothing to do with quantum information science. Getting an actual advantage out of quantum effects has so far been remarkably difficult.

[krastanov]

Answering here, but this really covers the sibling comment from dekhn.

To me it seem quite wild to have quantum sensing separated from the rest of quantum information science. It would be like saying that classical SNR considerations are unrelated to Shannon's introduction of error correcting codes (the birth of information science). But if that is your preference, it does not make much sense to argue. Either way, most scientist who work on quantum information science also see their work apply specifically to sensing.

Similarly, it seems strange to me to insist on specifically focusing on quantum computing, when the majority of technology developments in quantum information science apply both to sensing and to computing (one of which is simply easier thanks to its analog nature).

[dekhn]

I think it's a stretch to relate that to quantum computing, which normally describes making systems that can... well, compute! Quantum sensing is more an application of quantum theory and exploitation of quantum effects to improve photonics applications.