Methods for qubit detection include: imaging, via an imaging device, a qubit to obtain an image; inputting the image to a machine learning model; and outputting, by the machine learning model, prediction information based on the image. Systems for qubit detection include: a test module including an imaging device configured to provide an image of a qubit; and a prediction module communicatively coupled to the test module and including a machine learning model configured to output prediction information based on the image provided by the test module. Devices for qubit detection include: a non-transitory computer-readable storage medium storing an instruction set; and a processor configured to execute the instruction set to cause the device to perform controlling an imaging device to image a qubit to obtain an image; inputting the image to a machine learning model; and controlling the machine learning model to output prediction information based on the image.

Methods for qubit detection include: imaging, via an imaging device, a qubit to obtain an image; inputting the image to a machine learning model; and outputting, by the machine learning model, prediction information based on the image. Systems for qubit detection include: a test module including an imaging device configured to provide an image of a qubit; and a prediction module communicatively coupled to the test module and including a machine learning model configured to output prediction information based on the image provided by the test module. Devices for qubit detection include: a non-transitory computer-readable storage medium storing an instruction set; and a processor configured to execute the instruction set to cause the device to perform controlling an imaging device to image a qubit to obtain an image; inputting the image to a machine learning model; and controlling the machine learning model to output prediction information based on the image.

An ellipsometer includes a focusing system that uses an image of the measurement spot to determine a best focal position for the ellipsometer. The focus signal is produced by splitting off the ellipsometer measurement spot before the signal is analyzed by a polarizer thereby avoiding imagining the spot with a modulated intensity. The focus signal is imaged on a sensor array and based on the position of the spot on the sensor array, the focal position of the ellipsometer may be determined. A single image may be used to determine the focal position of the ellipsometer permitting a real time focus position measurement.

A method of applying a reflective optics system that requires the presence of both convex and a concave mirrors that have beam reflecting surfaces. Application thereof achieves focusing of a beam of electromagnetic radiation with reduced effects on a polarization state of an input beam state of polarization that results from adjustment of angles of incidence and reflections from the various mirrors involved.

A method of applying a reflective optics system that requires the presence of both convex and a concave mirrors that have beam reflecting surfaces. Application thereof achieves focusing of a beam of electromagnetic radiation with reduced effects on a polarization state of an input beam state of polarization that results from adjustment of angles of incidence and reflections from the various mirrors involved.

A method of generating a three-dimensional virtual model of an intraoral object includes capturing, by an intraoral scanner for performing intraoral scans, surface scan data of the intraoral object while changing a position of at least one lens of focusing optics of the intraoral scanner, wherein the surface scan data comprises depth data for a plurality of points of the intraoral object. The method further includes adjusting the depth data for one or more of the plurality of points based at least in part on a value associated with a temperature of at least a portion of the imaging apparatus. The method further includes generating the three-dimensional virtual model of the intraoral object using the adjusted depth data.

An atomic sensing method, the method including providing a polarization converter; emitting a linearly polarized polychromatic laser beam to the polarization converter; converting, by the polarization converter, the linearly polarized polychromatic laser beam into a circularly-polarized laser beam and a linearly-polarized laser beam; combining the circularly-polarized laser beam and the linearly-polarized laser beam thereby yielding a multi-polarization polychromatic laser beam; transmitting the multi-polarization polychromatic laser beam to an atomic vapor cell comprising alkali metal atoms, polarizing the multi-polarization polychromatic laser beam into two laser beams, and detecting the two laser beams by two photodetectors, respectively.

A polarization diffraction element comprising a film including a liquid crystalline material having photosensitivity, the film having at least one hologram recorded therein, and thereby having a property as a fork-shaped polarization grating having an anisotropic structure in which an optical axis continuously rotates toward a direction of a grating vector.

A polarization diffraction element comprising a film including a liquid crystalline material having photosensitivity, the film having at least one hologram recorded therein, and thereby having a property as a fork-shaped polarization grating having an anisotropic structure in which an optical axis continuously rotates toward a direction of a grating vector.

The system and method for imaging having filter containing polarized elements, multispectral elements or both being oscillated in circular or linear motion so each individual pixel will view a scene thru the individual filters. The motion of the filter is synchronized with a frame rate of an imager. In one example this is accomplished by micro actuators. Each pixel sampling feeds a processor detection algorithm that determines if a multispectral/polarization signature is present in the scene.