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- Access by Xinjiang University
Optimal sensing of momentum kicks with a feedback-controlled nanomechanical resonator
Phys. Rev. Applied 23, 054016 – Published 7 May, 2025
DOI: https://doi.org/10.1103/PhysRevApplied.23.054016
Abstract
External disturbances exciting a mechanical resonator can be exploited to gain information on the environment. Many of these interactions manifest as momentum kicks, such as the recoil of residual gas, radioactive decay, or even hypothetical interactions with dark matter. These disturbances are often rare enough that they can be resolved as singular events rather than cumulated as force noise. While high- resonators with low masses are particularly sensitive to such momentum kicks, they will strongly excite the resonator, leading to nonlinear effects that deteriorate sensing performance. Hence, this paper utilizes optimal estimation methods to extract individual momentum kicks from measured stochastic trajectories of a mechanical resonator kept in the linear regime through feedback control. The developed scheme is illustrated and tested experimentally using a prestressed silicon nitride trampoline resonator. Apart from enhancing a wide range of sensing scenarios mentioned above, our results indicate the feasibility of novel single-molecule mass spectrometry approaches.
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References (58)
- C. Reinhardt, T. Müller, A. Bourassa, and J. C. Sankey, Ultralow-noise sin trampoline resonators for sensing and optomechanics, Phys. Rev. X 6, 021001 (2016).
- M. S. Hanay, S. Kelber, A. Naik, D. Chi, S. Hentz, E. Bullard, E. Colinet, L. Duraffourg, and M. Roukes, Single-protein nanomechanical mass spectrometry in real time, Nat. Nanotechnol. 7, 602 (2012).
- M. S. Hanay, S. I. Kelber, C. D. O’Connell, P. Mulvaney, J. E. Sader, and M. L. Roukes, Inertial imaging with nanomechanical systems, Nat. Nanotechnol. 10, 339 (2015).
- A. Demir, Adaptive time-resolved mass spectrometry with nanomechanical resonant sensors, IEEE Sens. J. 21, 27582 (2021).
- M. Li, H. X. Tang, and M. L. Roukes, Ultra-sensitive NEMS-based cantilevers for sensing, scanned probe and very high-frequency applications, Nat. Nanotechnol. 2, 114 (2007).
- D. Hälg, T. Gisler, Y. Tsaturyan, L. Catalini, U. Grob, M.-D. Krass, M. Héritier, H. Mattiat, A.-K. Thamm, R. Schirhagl, et al., Membrane-based scanning force microscopy, Phys. Rev. Appl. 15, L021001 (2021).
- T. Gisler, D. Hälg, V. Dumont, S. Misra, L. Catalini, E. C. Langman, A. Schliesser, C. L. Degen, and A. Eichler, Enhancing membrane-based scanning force microscopy through an optical cavity, Phys. Rev. Appl. 22, 044001 (2024).
- C. Degen, M. Poggio, H. Mamin, C. Rettner, and D. Rugar, Nanoscale magnetic resonance imaging, Proc. Natl. Acad. Sci. 106, 1313 (2009).
- U. Grob, M.-D. Krass, M. Héritier, R. Pachlatko, J. Rhensius, J. Kosata, B. Moores, H. Takahashi, A. Eichler, and C. L. Degen, Magnetic resonance force microscopy with a one-dimensional resolution of 0.9 nm, Nano Lett. 19, 7935 (2019).
- T. Bagci, A. Simonsen, S. Schmid, L. G. Villanueva, E. Zeuthen, J. Appel, J. M. Taylor, A. Sørensen, K. Usami, A. Schliesser, et al., Optical detection of radio waves through a nanomechanical transducer, Nature 507, 81 (2014).
- M. Rossi, D. Mason, J. Chen, Y. Tsaturyan, and A. Schliesser, Measurement-based quantum control of mechanical motion, Nature 563, 53 (2018).
- U. Delić, M. Reisenbauer, K. Dare, D. Grass, V. Vuletić, N. Kiesel, and M. Aspelmeyer, Cooling of a levitated nanoparticle to the motional quantum ground state, Science 367, 892 (2020).
- Y. Seis, T. Capelle, E. Langman, S. Saarinen, E. Planz, and A. Schliesser, Ground state cooling of an ultracoherent electromechanical system, Nat. Commun. 13, 1507 (2022).
- G. Huang, A. Beccari, N. J. Engelsen, and T. J. Kippenberg, Room-temperature quantum optomechanics using an ultralow noise cavity, Nature 626, 512 (2024).
- G. I. Gonzfilez and P. R. Saulson, Brownian motion of a mass suspended by an anelastic wire, J. Acoust. Soc. Am. 96, 207 (1994).
- M. Wang, D. J. Perez-Morelo, G. Ramer, G. Pavlidis, J. J. Schwartz, L. Yu, R. Ilic, A. Centrone, and V. A. Aksyuk, Beating thermal noise in a dynamic signal measurement by a nanofabricated cavity optomechanical sensor, Sci. Adv. 9, eadf7595 (2023).
- W. Wieczorek, S. G. Hofer, J. Hoelscher-Obermaier, R. Riedinger, K. Hammerer, and M. Aspelmeyer, Optimal state estimation for cavity optomechanical systems, Phys. Rev. Lett. 114, 223601 (2015).
- R. E. Kalman and R. S. Bucy, New results in linear filtering and prediction theory, J. Basic Eng. 1, 95 (1961).
- H. E. Rauch, F. Tung, and C. T. Striebel, Maximum likelihood estimates of linear dynamic systems, AIAA 3, 1445 (1965).
- S. Särkkä and L. Svensson, Bayesian Filtering and Smoothing (Cambridge University Press, Cambridge UK, 2023), Vol. 17.
- S. Schmid, L. G. Villanueva, and M. L. Roukes, Fundamentals of Nanomechanical Resonators (Springer, Cham, Switzerland, 2016), Vol. 49.
- M. Erdogan, N. B. Baytekin, S. E. Coban, and A. Demir, Machine learning and Kalman filtering for nanomechanical mass spectrometry, IEEE Sens. J. 24, 6303 (2024).
- J. Wang, T. Penny, J. Recoaro, B. Siegel, Y.-H. Tseng, and D. C. Moore, Mechanical detection of nuclear decays, Phys. Rev. Lett. 133, 023602 (2024).
- M. Sansa, M. Defoort, A. Brenac, M. Hermouet, L. Banniard, A. Fafin, M. Gely, C. Masselon, I. Favero, G. Jourdan, et al., Optomechanical mass spectrometry, Nat. Commun. 11, 3781 (2020).
- S. Stassi, G. De Laurentis, D. Chakraborty, K. Bejtka, A. Chiodoni, J. E. Sader, and C. Ricciardi, Large-scale parallelization of nanomechanical mass spectrometry with weakly-coupled resonators, Nat. Commun. 10, 3647 (2019).
- J. Ruz, O. Malvar, E. Gil-Santos, M. Calleja, and J. Tamayo, Effect of particle adsorption on the eigenfrequencies of nano-mechanical resonators, J. Appl. Phys. 128, 104503 (2020).
- E. Sage, M. Sansa, S. Fostner, M. Defoort, M. Gély, A. K. Naik, R. Morel, L. Duraffourg, M. L. Roukes, T. Alava, et al., Single-particle mass spectrometry with arrays of frequency-addressed nanomechanical resonators, Nat. Commun. 9, 3283 (2018).
- A. K. Naik, M. Hanay, W. Hiebert, X. Feng, and M. L. Roukes, Towards single-molecule nanomechanical mass spectrometry, Nat. Nanotechnol. 4, 445 (2009).
- H. Bešić, A. Deutschmann-Olek, K. Mešić, K. Kanellopulos, and S. Schmid, Optimized signal estimation in nanomechanical photothermal sensing via thermal response modelling and Kalman filtering, arXiv:2405.15938.
- L. Magrini, P. Rosenzweig, C. Bach, A. Deutschmann-Olek, S. G. Hofer, S. Hong, N. Kiesel, A. Kugi, and M. Aspelmeyer, Real-time optimal quantum control of mechanical motion at room temperature, Nature 595, 373 (2021).
- D. S. Barker, D. Carney, T. W. LeBrun, D. C. Moore, and J. M. Taylor, Collision-resolved pressure sensing, Phys. Rev. A 109, 042616 (2024).
- D. Carney, G. Krnjaic, D. C. Moore, C. A. Regal, G. Afek, S. Bhave, B. Brubaker, T. Corbitt, J. Cripe, N. Crisosto, et al., Mechanical quantum sensing in the search for dark matter, Quantum Sci. Technol. 6, 024002 (2021).
- X. Li, R. Cai, J. Hao, J. N. Smith, and J. Jiang, Online detection of airborne nanoparticle composition with mass spectrometry: Recent advances, challenges, and opportunities, TrAC Trends Anal. Chem. 166, 117195 (2023).
- H. M. Bennett, W. Stephenson, C. M. Rose, and S. Darmanis, Single-cell proteomics enabled by next-generation sequencing or mass spectrometry, Nat. Methods 20, 363 (2023).
- A. Hopkins, K. Jacobs, S. Habib, and K. Schwab, Feedback cooling of a nanomechanical resonator, Phys. Rev. B 68, 235328 (2003).
- D. Kleckner and D. Bouwmeester, Sub-kelvin optical cooling of a micromechanical resonator, Nature 444, 75 (2006).
- J. Zhang and K. Mølmer, Prediction and retrodiction with continuously monitored Gaussian states, Phys. Rev. A 96, 062131 (2017).
- H. Bao, S. Jin, J. Duan, S. Jia, K. Mølmer, H. Shen, and Y. Xiao, Retrodiction beyond the Heisenberg uncertainty relation, Nat. Commun. 11, 5658 (2020).
- J. Lammers and K. Hammerer, Quantum retrodiction in Gaussian systems and applications in optomechanics, Front. Quantum Sci. Technol. 2, 1294905 (2024).
- F. Badawi, A. Lindquist, and M. Pavon, A stochastic realization approach to the smoothing problem, IEEE Trans. Automat. Contr. 24, 878 (1979).
- M. Piller, J. Hiesberger, E. Wistrela, P. Martini, N. Luhmann, and S. Schmid, Thermal ir detection with nanoelectromechanical silicon nitride trampoline resonators, IEEE Sens. J. 23, 1066 (2022).
- R. Kubo, The fluctuation-dissipation theorem, Rep. Progr. Phys. 29, 255 (1966).
- H. B. Callen and T. A. Welton, Irreversibility and generalized noise, Phys. Rev. 83, 34 (1951).
- D. G. Luenberger, Observing the state of a linear system, IEEE Trans. Military Electron. 8, 74 (1964).
- D. Fraser and J. Potter, The optimum linear smoother as a combination of two optimum linear filters, IEEE Trans. Automat. Contr. 14, 387 (1969).
- D. Q. Mayne, A solution of the smoothing problem for linear dynamic systems, Automatica 4, 73 (1966).
- M. Athans, The role and use of the stochastic linear-quadratic-Gaussian problem in control system design, IEEE Trans. Automat. Contr. 16, 529 (1971).
- H. W. Bode and C. E. Shannon, A simplified derivation of linear least square smoothing and prediction theory, Proc. IRE 38, 417 (1950).
- F. Tebbenjohanns, M. L. Mattana, M. Rossi, M. Frimmer, and L. Novotny, Quantum control of a nanoparticle optically levitated in cryogenic free space, Nature 595, 378 (2021).
- Y. Xia, G. Huang, A. Beccari, A. Zicoschi, A. Arabmoheghi, N. J. Engelsen, and T. J. Kippenberg, Motional sideband asymmetry of a solid-state mechanical resonator at room temperature, arXiv:2408.06498.
- Y. Tsaturyan, A. Barg, E. S. Polzik, and A. Schliesser, Ultracoherent nanomechanical resonators via soft clamping and dissipation dilution, Nat. Nanotechnol. 12, 776 (2017).
- N. J. Engelsen, A. Beccari, and T. J. Kippenberg, Ultrahigh-quality-factor micro-and nanomechanical resonators using dissipation dilution, Nat. Nanotechnol. 19, 725 (2024).
- Y. T. Yang, C. Callegari, X. L. Feng, K. L. Ekinci, and M. L. Roukes, Zeptogram-scale nanomechanical mass sensing, Nano Lett. 6, 583 (2006).
- B. Hauer, C. Doolin, K. Beach, and J. Davis, A general procedure for thermomechanical calibration of nano/micro-mechanical resonators, Ann. Phys. (N. Y.) 339, 181 (2013).
- W. Glasser, Control Theory (Harper and Row, New York, 1985).
- R. E. Kalman, Contributions to the theory of optimal control, Bol. Soc. Mat. Mexicana 5, 102 (1960).
- G. F. Franklin, J. D. Powell, and M. L. Workman, Digital Control of Dynamic Systems (Addison-Wesley, Menlo Park, 1998), Vol. 3.
- F. L. Lewis, L. Xie, and D. Popa, Optimal and Robust Estimation: With an Introduction to Stochastic Control Theory (CRC Press, Boca Raton, 2017).