Self-Bayesian Aberration Removal via Constraints for Ultracold Atom Microscopy

• URL: http://arxiv.org/abs/2108.07106v1
• Date: Mon, 16 Aug 2021 14:22:04 GMT
• Title: Self-Bayesian Aberration Removal via Constraints for Ultracold Atom Microscopy
• Authors: Emine Altuntas and Ian B. Spielman
• Abstract summary: High-resolution imaging of ultracold atoms typically requires custom high numerical aperture (NA) optics. We employ a low cost high NA aspheric lens as an objective for a practical and economical-although aberrated-high resolution microscope. We show that our digital correction technique reduces the contribution of photon shot noise to density-density correlation measurements.
• Score: 0.0
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: High-resolution imaging of ultracold atoms typically requires custom high numerical aperture (NA) optics, as is the case for quantum gas microscopy. These high NA objectives involve many optical elements each of which contributes to loss and light scattering, making them unsuitable for quantum back-action limited "weak" measurements. We employ a low cost high NA aspheric lens as an objective for a practical and economical-although aberrated-high resolution microscope to image ${^{87}\mathrm{Rb}}$ Bose-Einstein condensates. Here, we present a novel methodology for digitally eliminating the resulting aberrations that is applicable to a wide range of imaging strategies and requires no additional hardware. We recover nearly the full NA of our objective, thereby demonstrating a simple and powerful digital aberration correction method for achieving optimal microscopy of quantum objects. This reconstruction relies on a high quality measure of our imaging system's even-order aberrations from density-density correlations measured with differing degrees of defocus. We demonstrate our aberration compensation technique using phase contrast imaging, a dispersive imaging technique directly applicable to quantum back-action limited measurements. Furthermore, we show that our digital correction technique reduces the contribution of photon shot noise to density-density correlation measurements which would otherwise contaminate the desired quantum projection noise signal in weak measurements.

Related papers

• High-dimensional quantum correlation measurements with an adaptively gated hybrid single-photon camera [58.720142291102135]
  We propose an adaptively-gated hybrid intensified camera (HIC) that combines a high spatial resolution sensor and a high temporal resolution detector. With a spatial resolution of nearly 9 megapixels and nanosecond temporal resolution, this system allows for the realization of previously infeasible quantum optics experiments.
  arXiv  Detail & Related papers  (2023-05-25T16:59:27Z)
• Retrieving space-dependent polarization transformations via near-optimal quantum process tomography [55.41644538483948]
  We investigate the application of genetic and machine learning approaches to tomographic problems. We find that the neural network-based scheme provides a significant speed-up, that may be critical in applications requiring a characterization in real-time. We expect these results to lay the groundwork for the optimization of tomographic approaches in more general quantum processes.
  arXiv  Detail & Related papers  (2022-10-27T11:37:14Z)
• On-chip quantum information processing with distinguishable photons [55.41644538483948]
  Multi-photon interference is at the heart of photonic quantum technologies. Here, we experimentally demonstrate that detection can be implemented with a temporal resolution sufficient to interfere photons detuned on the scales necessary for cavity-based integrated photon sources. We show how time-resolved detection of non-ideal photons can be used to improve the fidelity of an entangling operation and to mitigate the reduction of computational complexity in boson sampling experiments.
  arXiv  Detail & Related papers  (2022-10-14T18:16:49Z)
• Aberration control in quantitative widefield quantum microscopy [0.0]
  We show that optical aberrations in the imaging system may cause large systematic errors in the measured quantity. We introduce a simple theoretical framework to model these effects, which extends the concept of a point spread function to the domain of spectral imaging.
  arXiv  Detail & Related papers  (2022-07-26T06:30:12Z)
• Label-free quantum super-resolution imaging using entangled multi-mode squeezed light [0.0]
  We create a multi-mode quantum light state with exceptional entanglement and noise suppression below the shot noise level. This significantly reduces imaging measurement errors compared to classical coherent state light imaging. In practical applications, this new quantum imaging approach reduces the number of photons needed to achieve the same image quality by two orders of magnitude.
  arXiv  Detail & Related papers  (2022-07-22T00:23:24Z)
• Low dosage 3D volume fluorescence microscopy imaging using compressive sensing [0.0]
  We present a compressive sensing (CS) based approach to fully reconstruct 3D volumes with the same signal-to-noise ratio (SNR) with less than half of the excitation dosage. We demonstrate our technique by capturing a 3D volume of the RFP labeled neurons in the zebrafish embryo spinal cord with the axial sampling of 0.1um using a confocal microscope. The developed CS-based methodology in this work can be easily applied to other deep imaging modalities such as two-photon and light-sheet microscopy, where reducing sample photo-toxicity is a critical challenge.
  arXiv  Detail & Related papers  (2022-01-03T18:44:50Z)
• Quantum microscopy based on Hong-Ou-Mandel interference [0.9322743017642272]
  Hong-Ou-Mandel (HOM) interference is a staple of quantum optics and lies at the heart of many quantum sensing approaches and recent optical quantum computers. We report a full-field, scan-free, quantum imaging technique that exploits HOM interference to reconstruct the surface depth profile of transparent samples.
  arXiv  Detail & Related papers  (2021-08-11T17:56:37Z)
• Universal and Flexible Optical Aberration Correction Using Deep-Prior Based Deconvolution [51.274657266928315]
  We propose a PSF aware plug-and-play deep network, which takes the aberrant image and PSF map as input and produces the latent high quality version via incorporating lens-specific deep priors. Specifically, we pre-train a base model from a set of diverse lenses and then adapt it to a given lens by quickly refining the parameters.
  arXiv  Detail & Related papers  (2021-04-07T12:00:38Z)
• Conditional preparation of non-Gaussian quantum optical states by mesoscopic measurement [62.997667081978825]
  Non-Gaussian states of an optical field are important as a proposed resource in quantum information applications. We propose a novel approach involving displacement of the ancilla field into the regime where mesoscopic detectors can be used. We conclude that states with strong Wigner negativity can be prepared at high rates by this technique under experimentally attainable conditions.
  arXiv  Detail & Related papers  (2021-03-29T16:59:18Z)
• Scalable multiphoton quantum metrology with neither pre- nor post-selected measurements [0.0]
  We experimentally demonstrate a scalable protocol for quantum-enhanced optical phase estimation. The robustness of two-mode squeezed vacuum states against loss allows us to outperform schemes based on N00N states. Our work is important for quantum technologies that rely on multiphoton interference.
  arXiv  Detail & Related papers  (2020-11-04T18:11:33Z)
• Quantum metamaterial for nondestructive microwave photon counting [52.77024349608834]
  We introduce a single-photon detector design operating in the microwave domain based on a weakly nonlinear metamaterial. We show that the single-photon detection fidelity increases with the length of the metamaterial to approach one at experimentally realistic lengths. In stark contrast to conventional photon detectors operating in the optical domain, the photon is not destroyed by the detection and the photon wavepacket is minimally disturbed.
  arXiv  Detail & Related papers  (2020-05-13T18:00:03Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.