Application US20190325338

QUANTUM COMPUTING IMPROVEMENTS TO TRANSPORTATION
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US20190325338

1. A method comprising: (2) (6)

(a) ingesting transportation-related data into a graph structure, the transportation-related data being associated with a transportation system;

(b) identifying a transportation metric associated with the transportation system;

(c) identifying at least one attribute associated with the transportation-related data, where the transportation metric is based at least in part on the attribute;

(d) determining which portion of an NP complete problem to process with a quantum computer;

(e) using a quantum computer to derive at least in part an operational parameter for the attribute that improves the transportation metric; and

(f) applying the operational parameter to the operation of the transportation system.

2. The method of claim 1 wherein the transportation-related data is flight-related data, the transportation system is a flight system, and the transportation metric is a flight-related metric. (5) (0)

3. The method of claim 2, wherein the method further comprises: (0) (3)

5. The method of claim 2, wherein the method comprises using an operational parameter that improves the flight metric for a first drone to improve the flight metric for a second drone. (0)

6. The method of claim 2, wherein identifying at least one attribute associated with the flight-related data further comprises identifying at least one constraint associated with the flight-related data. (0)

7. The method of claim 2, wherein the method comprises identifying a plurality of attributes, the flight metric is energy consumption, the flight system includes at least one drone and the attributes include weight of the drone and weight of a package carried by the drone. (0)

8. The method of claim 2, wherein the method further comprises defining a data model prior to ingesting the flight-related data into a graph structure, the graph structure being based at least in part on the data model. (0)

4. The method of claim 1, wherein the quantum computer is a quantum annealer. (0)

9. A system comprising: (2) (7)

(a) one or more computers and one or more storage devices on which are stored instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising:

(b) ingesting transportation-related data into a graph structure, the transportation-related data being associated with a transportation system;

(d) identifying at least one attribute associated with the transportation-related data, where the transportation metric is based at least in part on the attribute;

(e) determining which portion of a NP complete problem to process with a quantum computer;

(f) using a quantum computer to derive at least in part an operational parameter for the attribute that improves the transportation metric; and

(g) applying the operational parameter to the operation of the transportation system.

10. The system of claim 9 wherein the transportation-related data is flight-related data, the transportation system is a flight system, and the transportation metric is a flight-related metric. (5) (0)

11. The system of claim 10, wherein the operations further comprise: (0) (3)

13. The system of claim 10, wherein the operations further comprise using an operational parameter that improves the flight metric for a first drone to improve the flight metric for a second drone. (0)

14. The system of claim 10, wherein identifying at least one attribute associated with the flight-related data further comprises identifying at least one constraint associated with the flight-related data. (0)

15. The system of claim 10, wherein the operations further comprise identifying a plurality of attributes, the flight metric is energy consumption, the flight system includes at least one drone and the attributes include weight of the drone and weight of a package carried by the drone. (0)

16. The system of claim 10, wherein the operations further comprise defining a data model prior to ingesting the flight-related data into a graph structure, the graph structure being based at least in part on the data model. (0)

12. The system of claim 9, wherein the quantum computer is a quantum annealer. (0)

17. A method comprising: (1) (6)

(a) receiving transportation-related data, the transportation-related data being associated with a transportation system;

(b) identifying a transportation metric associated with the transportation system;

(c) identifying at least one attribute associated with the transportation-related data, where the transportation metric is based at least in part on the attribute;

(d) determining which portion of an NP complete problem to process with a quantum computer;

(e) using a quantum computer to derive at least in part an operational parameter for the attribute that improves the transportation metric; and

(f) applying the operational parameter to the operation of the transportation system.

18. The method of claim 17, wherein the method further comprises: (0) (3)

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Application US20190325338

QUANTUM COMPUTING IMPROVEMENTS TO TRANSPORTATION

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