Abstract
Precisely engineered mechanical oscillators keep time, filter signals and sense motion, making them an indispensable part of the technological landscape of today. These unique capabilities motivate bringing mechanical devices into the quantum domain by interfacing them with engineered quantum circuits. Proposals to combine microwave-frequency mechanical resonators with superconducting devices suggest the possibility of powerful quantum acoustic processors1,2,3. Meanwhile, experiments in several mechanical systems have demonstrated quantum state control and readout4,5, phonon number resolution6,7 and phonon-mediated qubit–qubit interactions8,9. At present, these acoustic platforms lack processors capable of controlling the quantum states of several mechanical oscillators with a single qubit and the rapid quantum non-demolition measurements of mechanical states needed for error correction. Here we use a superconducting qubit to control and read out the quantum state of a pair of nanomechanical resonators. Our device is capable of fast qubit–mechanics swap operations, which we use to deterministically manipulate the mechanical states. By placing the qubit into the strong dispersive regime with both mechanical resonators simultaneously, we determine the phonon number distributions of the resonators by means of Ramsey measurements. Finally, we present quantum tomography of the prepared nonclassical and entangled mechanical states. Our result represents a concrete step towards feedback-based operation of a quantum acoustic processor.
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Data availability
The datasets generated and analysed for this study are available from the corresponding author on reasonable request.
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Acknowledgements
A.-H.S.N. is indebted to S. Safavi-Naeini, M. Palizban, H. Safavi-Naeini for their support during the preparation of this manuscript. We thank M. Kang, T. P. McKenna, W. Jiang, M. Pechal, Y. P. Zhong, K. K. S. Multani, N. R. Lee, M. M. Fejer and P. J. Stas for discussions. We acknowledge the support of the David and Lucile Packard Foundation and the Sloan Research Fellowship. This work was funded by the U.S. government through the Office of Naval Research (ONR) under grant no. N00014-20-1-2422, the U.S. Department of Energy through grant no. DE-SC0019174 and the National Science Foundation CAREER award no. ECCS-1941826. E.A.W. was supported by the Department of Defense through the National Defense Science and Engineering Graduate Fellowship. A.Y.C. was supported by the Army Research Office through the Quantum Computing Graduate Research Fellowship, as well as the Stanford Graduate Fellowship. Device fabrication was performed at the Stanford Nano Shared Facilities (SNSF), supported by the National Science Foundation under award ECCS-2026822, and the Stanford Nanofabrication Facility (SNF). This work was partly funded by Amazon Web Services and NTT Research.
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E.A.W. and A.Y.C. designed and fabricated the device. E.A.W., A.Y.C., R.G.G. and P.A.-A. developed the fabrication process. Z.W., R.G.G. and A.H.S.-N. provided experimental and theoretical support. E.A.W. and A.Y.C. performed the experiments and analysed the data. E.A.W., A.Y.C. and A.H.S.-N. wrote the manuscript, with the other authors assisting. A.H.S.-N. supervised all efforts.
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P.A.-A. is currently a research scientist at Amazon, and A.H.S.-N. is an Amazon Scholar. The other authors declare no competing interests.
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Extended data figures and tables
Extended Data Fig. 1 Device images.
Angled top view (a) and angled side view (b) photographs of the fully packaged device. The top (mechanics) chip is secured face down to the bottom (qubit) chip by an adhesive polymer (9:1 ethanol to GE Varnish) applied manually to the sides of the chip.
Extended Data Fig. 2 Qubit characterization.
a, Qubit spectrum as a function of the externally applied magnetic flux \({\Phi }_{{\rm{e}}}\), in units of the magnetic flux quantum Φ0. The qubit is tuned from its maximum frequency \({\omega }_{{\rm{g}}{\rm{e}}}^{max}/2\pi =2.443\,{\rm{G}}{\rm{H}}{\rm{z}}\) and shows avoided crossings at \({\omega }_{{{\rm{m}}}_{1}}/2{\rm{\pi }}=2.053\,{\rm{GHz}}\) and \({\omega }_{{{\rm{m}}}_{2}}/2{\rm{\pi }}=2.339\,{\rm{GHz}},\) corresponding to the mechanical modes M1 and M2. b, Qubit T1 as a function of qubit frequency. Each horizontal slice represents a separate ring-down measurement, with the qubit excited state probability indicated by the colour bar. The fitted T1 values for each slice are plotted as white points. c, Randomized benchmarking results. Here the qubit response is measured after applying a random sequence of Clifford gates, with the final Clifford always chosen to map the cumulative effect of the sequence to |e⟩. d, Qubit thermometry measurement. The dark blue points (dark red points) show the measurement result with (without) an initial Xπ pulse to exchange the steady-state |g⟩ and |e⟩ populations. The light blue (light red) lines show the fits for these Rabi-like oscillations, with amplitudes Ag (Ae). From these amplitudes, we estimate a qubit thermal population in |e⟩ of Pe,th = 0.057.
Extended Data Fig. 3 Swap characterization.
a, Experimental results (top) and simulated qubit excited state probability Pe (bottom) for the Rabi-swap experiment described in Fig. 2b, d. The asymmetry in the chevrons of the qubit–mechanics interaction is replicated by master equation simulations. b, Qubit state tomography results for the X (blue), Y (red) and Z (black) components of the qubit state Bloch vector during a resonant Rabi-swap experiment. The qubit is initially prepared in |e⟩ and then swapped to the upper mechanical mode M2 before performing tomography on the qubit. c, Qubit state tomography results for a resonant Rabi-swap experiment, similar to b, in which the qubit now starts in |g⟩ + |e⟩.
Extended Data Fig. 4 State reconstruction.
a, Experimental results for the mechanical displacement calibration, showing the inferred displacement amplitudes |αinf| (points) corresponding to the voltage amplitude of each applied pulse, and a fit to the hockey-stick model (line). b, Simulation and fit of the displacement calibration performed experimentally in a. A small thermal state (nth = 0.10) is displaced with a programmed amplitude (input |α|, x axis), from which we determine the inferred displacement amplitude (|αinf|, y axis). The simulation data are plotted in dark blue points, with a fit to the hockey-stick model plotted in light blue. In the linear portion of the graph, we find the ratio of these values, c1 = (inferred |α|)/(input |α|) ≃ 1, as expected. c, Results of error propagation for the reconstructed fidelity \({ {\mathcal F} }_{{\rm{s}}}\) = 0.786 ± 0.003 in single-mode tomography of the |0⟩ + |1⟩ state. d, Results of error propagation for the joint tomography Bell-state fidelity \({ {\mathcal F} }_{{\rm{Bell}}}\) = 0.66 ± 0.03.
Extended Data Fig. 5 Parity measurement.
a, Parity of the displaced mechanical state |1⟩ prepared in the upper mechanical mode. The state is prepared and characterized using the same pulse sequence as in Fig. 3a. Here we use 16 displacements in the upper-right quadrant of the complex plane and perform the Ramsey measurement for a total time tmax = 4.0 μs. For each displacement \(\hat{D}(\alpha )\), parity is computed from the extracted phonon number distribution as Π(α) = Σn=0(−1)nPα(n). The axes correspond to the complex voltage amplitudes of the applied microwave pulses that generate these displacements. This yields a minimum observed parity Π(0) ≃ −0.45 at the origin. b, The same parity measurement, plotted in terms of the inferred displacement amplitudes. We extrapolate these α values using the calibration scheme described in Extended Data Fig. 4. c, Upper-right quadrant of the reconstructed Wigner function shown in Fig. 3f, reproduced here for comparison.
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Wollack, E.A., Cleland, A.Y., Gruenke, R.G. et al. Quantum state preparation and tomography of entangled mechanical resonators. Nature 604, 463–467 (2022). https://doi.org/10.1038/s41586-022-04500-y
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DOI: https://doi.org/10.1038/s41586-022-04500-y
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