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Entanglement-Enhanced Quantum Nano-Vibrometry

Colin P. Lualdi, Joshua Rapp, Spencer J. Johnson, Michael Vayninger, Paul G. Kwiat

Abstract

The study of dynamic systems at the nanometer scale can benefit from the loss and background resilience offered by quantum two-photon interference. However, fast measurements with the required resolution are difficult to realize. As a solution, we introduce extreme energy entanglement between the photons undergoing interference. Using a flux probing analysis technique, we recover vibrational signals with frequencies as high as 21 kHz. Along with validating nanometer-scale precision and accuracy, we observe a significant quantum advantage when measuring in the presence of loss and background.

Entanglement-Enhanced Quantum Nano-Vibrometry

Abstract

The study of dynamic systems at the nanometer scale can benefit from the loss and background resilience offered by quantum two-photon interference. However, fast measurements with the required resolution are difficult to realize. As a solution, we introduce extreme energy entanglement between the photons undergoing interference. Using a flux probing analysis technique, we recover vibrational signals with frequencies as high as 21 kHz. Along with validating nanometer-scale precision and accuracy, we observe a significant quantum advantage when measuring in the presence of loss and background.

Paper Structure

This paper contains 11 equations, 3 figures.

Figures (3)

  • Figure 1: (a) Apparatus schematic. PBS, polarizing beamsplitter; HWP, half-wave plate; DM, dichroic mirror; BS, 50:50 beamsplitter. (b) Coincidences as a function of time for an input sinusoid with a 25-Hz oscillation between 50 and 100 Hz. The peak-to-peak amplitude also oscillates between $\sim$36 nm and $\sim$22 nm, respectively. The anti-coincidences are not shown. (c) The probed spectrum (2.1 million detected pairs, 10 s). The dashed line indicates the threshold set by $p_{\rm FA}= 0.1\%$; see text. (d-e) The original and reconstructed signals, respectively. The recovered amplitude is $\sim$35 ($\sim$23) nm for the 50-Hz (100-Hz) portion.
  • Figure 2: (a) Signals used for amplitude validation, driving at 10 Hz. (b--d) Estimated mean amplitudes and frequencies (10 trials), along with amplitude precision ($\sigma_x$) and accuracy $(\Delta x \equiv |x_\text{true} - x_\text{measured}|$). The amplitude estimation accounts for the factor of 2 resulting from retro-reflection. Error bars in (b) and (d) show the standard deviation (i.e., precision). Each 1-s trial involved $\sim$190,000 detected pairs. (e--f) Estimated amplitudes and frequencies from a single discrete sine sweep (1--21 kHz in 1-kHz steps). We probe each frequency with $\sim$1 million detected pairs (5 s). We attribute the consistent $\sim$0.142% frequency offset error to imperfections in the piezoelectric speaker playback pipeline; a similar error is observed when recording the acoustic signal with a microphone.
  • Figure 3: Demonstration of quantum advantage. The test signal is a 10-Hz square wave with a true peak-to-peak amplitude of $\sim$55 nm. The quantum measurement is robust against (a) imbalanced path loss ($L$) and (b) optical background ($B$), whereas the classical measurement is not.