The noise in gravitational-wave detectors and other classical-force measurements is not influenced by test-mass quantization
Vladimir B. Braginsky (1), Mikhail L. Gorodetsky (1), Farid Ya., Khalili (1), Andrey B. Matsko (2), Kip S. Thorne (3), and Sergey P., Vyatchanin (1) ((1) Moscow State University, (2) Texas A&M University, (3), California Institute of Technology)

TL;DR
This paper demonstrates that quantum noise in gravitational-wave detectors is solely due to photon shot noise and radiation-pressure back-action, with no additional noise from test-mass quantum states, due to specific commutation properties and filtering.
Contribution
It proves that test-mass quantum states do not add noise in interferometric measurements when appropriate filtering is applied, clarifying the origin of quantum noise limits.
Findings
Photon shot noise and radiation-pressure noise are the only quantum noise sources.
Test-mass quantum states do not contribute additional noise when output is properly filtered.
Interferometer output can be treated as classical due to commutation properties.
Abstract
It is shown that photon shot noise and radiation-pressure back-action noise are the sole forms of quantum noise in interferometric gravitational wave detectors that operate near or below the standard quantum limit, if one filters the interferometer output appropriately. No additional noise arises from the test masses' initial quantum state or from reduction of the test-mass state due to measurement of the interferometer output or from the uncertainty principle associated with the test-mass state. Two features of interferometers are central to these conclusions: (i) The interferometer output (the photon number flux N(t) entering the final photodetector) commutes with itself at different times in the Heisenberg Picture, [N(t), N(t')] = 0, and thus can be regarded as classical. (ii) This number flux is linear in the test-mass initial position and momentum operators x_o and p_o, and those…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
