IP Library › Granted Patent US 11,681,322
Granted Patent B2
US 11,681,322 · App. 17/513,496 · Granted Jun 20, 2023

Adaptive and optimal imaging of quantum optical systems for quantum computing

Inventors: Christopher Monroe (Ellicott City, MD); Jiehang Zhang (College Park, MD); David Wong-Campos (Hyattsville, MD); Antonios Kyprianidis (Takoma, MD); Patrick Michael Becker (College Park, MD)
Assignee: UNIVERSITY OF MARYLAND, COLLEGE PARK
G06E3/005B82Y10/00B82Y40/00G01J1/42H01L29/66977G01J2001/4247G01N21/6458G06N10/00
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Quick Facts
Patent No.
US 11,681,322
App. No.
17/513,496
Granted
Jun 20, 2023
Kind
B2
Abstract

The disclosure describes an adaptive and optimal imaging of individual quantum emitters within a lattice or optical field of view for quantum computing. Advanced image processing techniques are described to identify individual optically active quantum bits (qubits) with an imager. Images of individual and optically-resolved quantum emitters fluorescing as a lattice are decomposed and recognized based on fluorescence. Expected spatial distributions of the quantum emitters guides the processing, which uses adaptive fitting of peak distribution functions to determine the number of quantum emitters in real time. These techniques can be used for the loading process, where atoms or ions enter the trap one-by-one, for the identification of solid-state emitters, and for internal state-detection of the quantum emitters, where each emitter can be fluorescent or dark depending on its internal state. This latter application is relevant to efficient and fast detection of optically active qubits in quantum simulations and quantum computing.

Claims (34)

1. A method for identification of quantum emitters, comprising:

preparing, for each of multiple trapped quantum emitters, a particular quantum state that fluoresces while keeping all other quantum emitters in a different quantum state to establish individual basis intensity distributions for each of the multiple trapped quantum emitters;

determining a peak intensity for the multiple trapped quantum emitters in a particular quantum state that fluoresces;

performing a maximum likelihood method to decompose a distribution of the peak intensities into a best fit linear combination of all of the individual basis intensity distributions; and

identifying a qubit value for the multiple trapped quantum emitters based on the best fit linear combination.

2. The method of claim 1 , wherein the particular quantum state that fluoresces includes a bright state or bright quantum state, and wherein the different quantum state includes a dark state or dark quantum state.

3. The method of claim 2 , wherein preparing the bright quantum state for each of the multiple trapped quantum emitters and determining the peak intensity includes providing an optical source that produces fluorescence of a respective trapped quantum emitter.

4. The method of claim 3 , wherein the optical source is a red-detuned near-resonant laser that Doppler cools the multiple trapped quantum emitters and keeps the fluorescing strongly.

5. The method of claim 1 , wherein identifying the qubit value comprises adaptively correcting the multiple trapped quantum emitters in response to the best fit linear combination indicating that there is a slow movement of at least a subset of the multiple trapped quantum emitters, there are dropouts from losing trapped quantum emitters, or drifts affecting crosstalk and scattered background light need compensation.

6. The method of claim 3 , wherein determining the peak intensity for the multiple trapped quantum emitters in the bright quantum state comprises identifying a region-of-interest (ROI) for each trapped quantum emitter based on one or more of a centroid or a width of a respective individual peak intensity.

7. The method of claim 6 , further comprising labeling the ROI with one or more of a text identifier or a geometric shape encircling the respective individual peak intensity.

8. The method of claim 7 , wherein the text identifier can indicate a number assigned to the respective trapped quantum emitter.

9. The method of claim 1 , wherein the identifying of the qubit value for the multiple trapped quantum emitters is performed periodically as part of a calibration procedure.

10. The method of claim 1 , further comprising trapping the multiple trapped quantum emitters in a trap of a quantum information processing (QIP) system.

11. A quantum information processing (QIP) system, comprising:

a quantum emitter lattice;

an optical controller configured to prepare, for each of multiple quantum emitters trapped in the lattice, a bright qubit state while keeping all other quantum emitters in a dark qubit state to establish an individual basis intensity distribution for each of the multiple trapped quantum emitters; and

an imaging system configured to:

determine a peak intensity for each of the multiple trapped quantum emitters in the respective bright qubit state;

perform a maximum likelihood method to decompose a distribution of the peak intensities into a best fit linear combination of all of the individual basis intensity distributions; and

identify a qubit value for the multiple trapped quantum emitters based on the best fit linear combination.

12. The QIP system of claim 11 , wherein each of the quantum emitters is an atom, an ion, or a solid-state quantum emitter.

13. The QIP system of claim 11 , wherein the imaging system includes a CCD camera or a CMOS camera.

14. The QIP system of claim 11 , further comprising a trap configured to form the quantum emitter lattice.

15. The QIP system of claim 11 , further comprising an optical source configured to produce fluorescence of a respective trapped quantum emitter to determine the peak intensity.

16. The QIP system of claim 15 , wherein the optical source is a red-detuned near-resonant laser configured to Doppler cool the multiple trapped quantum emitters.

17. A non-transitory computer-readable medium storing code with instructions executable by a processor for identification of quantum emitters, comprising:

code for preparing, for each of multiple trapped quantum emitters, a bright qubit state while keeping all other quantum emitters in a dark qubit state to establish an individual basis intensity distribution for each of the multiple trapped quantum emitters;

code for determining a peak intensity for each of the multiple trapped quantum emitters in the respective bright qubit state;

code for performing a maximum likelihood method to decompose a distribution of the peak intensities into a best fit linear combination of all of the individual basis intensity distributions; and

code for identifying a qubit value for the multiple trapped quantum emitters based on the best fit linear combination.

18. The non-transitory computer-readable medium of claim 17 , wherein the code for identifying the qubit value comprises code for adaptively correcting the multiple trapped quantum emitters in response to the best fit linear combination indicating that there is a slow movement of at least a subset of the multiple trapped quantum emitters, there are dropouts from losing trapped quantum emitters, or drifts affecting crosstalk and scattered background light need compensation.

19. The non-transitory computer-readable medium of claim 17 , wherein the code for determining the peak intensity for the multiple trapped quantum emitters in the bright qubit state comprises code for identifying a region-of-interest (ROI) for each trapped quantum emitter based on one or more of a centroid or a width of a respective individual peak intensity.

20. The non-transitory computer-readable medium of claim 17 , wherein the code for identifying the qubit value for the multiple trapped quantum emitters is performed periodically as part of a calibration procedure.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 9, 2023
From: MONROE, CHRISTOPHER; WONG-CAMPOS, DAVID; KYPRIANIDIS, ANTONIOS; BECKER, PATRICK MICHAEL
To: UNIVERSITY OF MARYLAND, COLLEGE PARK
Reel/Frame 063576/0914 →
Continuity (3)
Division 16239084 · Jan 3, 2019
Provisional Application 62614108 · Jan 5, 2018
Related Publication 20220236761A1 · Jul 28, 2022