Classical-quantum data confidence fabric

Patent metadata

Field	Value
Publication number	US-12411800-B2
Application number	US-202217811252-A
Country	US
Kind code	B2
Filing date	Jul 7, 2022
Priority date	Jul 7, 2022
Publication date	Sep 9, 2025
Grant date	Sep 9, 2025

Abstract

One example method includes receiving, by a hybrid classical-quantum computing system, data from a node of a data confidence fabric, processing the data to create processed data, generating one or more confidence scores relating to the processed data, and making the one or more confidence scores and the processed data available to an end user. The hybrid classical-quantum computing system may also be a node of the data confidence fabric and may perform classical and/or quantum computing operations on the data.

First claim

What is claimed is:

1. A method, comprising:
receiving, by a hybrid classical-quantum computing system, data from a node of a data confidence fabric, and the hybrid classical-quantum computing system is operable to notify one or more other nodes of the data confidence fabric that the hybrid classical-quantum computing system supports data confidence operations;
processing the data to create processed data;
generating one or more confidence scores relating to the processed data, and the one or more data confidence scores comprise an aggregated data confidence score applicable to the processed data as a whole;
making the one or more confidence scores and the processed data available to an end user; and
a classical component of the hybrid classical-quantum computing system generates output comprising one or both of a quantum circuit, and one or more quantum input parameters.

2. The method as recited in claim 1 , wherein the processing and the generating are performed by the hybrid classical-quantum computing system.

3. The method as recited in claim 1 , wherein the hybrid classical-quantum computing system is another node of the data confidence fabric.

4. The method as recited in claim 1 , wherein one of the one or more data confidence scores is a data confidence score relating to a portion of the processed data that was generated by a quantum computing process.

5. The method as recited in claim 1 , wherein one of the one or more data confidence scores is a data confidence score relating to a portion of the processed data that was generated by a classical computing process.

6. The method as recited in claim 1 , wherein the aggregated data confidence scores is a data confidence score aggregated across multiple quantum processing unit vendors.

7. The method as recited in claim 1 , wherein part of the processed data is generated by one or more quantum processing units.

8. A non-transitory storage medium having stored therein instructions that are executable by one or more hardware processors to perform operations comprising:
receiving, by a hybrid classical-quantum computing system, data from a node of a data confidence fabric, and the hybrid classical-quantum computing system is operable to notify one or more other nodes of the data confidence fabric that the hybrid classical-quantum computing system supports data confidence operations;
processing the data to create processed data;
generating one or more confidence scores relating to the processed data, and the one or more data confidence scores comprise an aggregated data confidence score applicable to the processed data as a whole;
making the one or more confidence scores and the processed data available to an end user; and
a classical component of the hybrid classical-quantum computing system generates output comprising one or both of a quantum circuit, and one or more quantum input parameters.

9. The non-transitory storage medium as recited in claim 8 , wherein the processing and the generating are performed by the hybrid classical-quantum computing system.

10. The non-transitory storage medium as recited in claim 8 , wherein the hybrid classical-quantum computing system is another node of the data confidence fabric.

11. The non-transitory storage medium as recited in claim 8 , wherein one of the one or more data confidence scores is a data confidence score relating to a portion of the processed data that was generated by a quantum computing process.

12. The non-transitory storage medium as recited in claim 8 , wherein one of the one or more data confidence scores is a data confidence score relating to a portion of the processed data that was generated by a classical computing process.

13. The non-transitory storage medium as recited in claim 8 , wherein the aggregated data confidence score is a data confidence score aggregated across multiple quantum processing unit vendors.

14. The non-transitory storage medium as recited in claim 8 , wherein part of the processed data is generated by one or more quantum processing units.

Assignees

• Dell Products Lp

Inventors

• Durazzo Kenneth
• Todd Stephen J
• Robillard Michael
• Fong Victor

Classifications

• G06N10/40

  Physical realisations or architectures of quantum processors or components for manipulating qubits, e.g. qubit coupling or qubit control · CPC title

• G06N20/00

  Machine learning · CPC title

• G06F15/7807 Primary

  System on chip, i.e. computer system on a single chip; System in package, i.e. computer system on one or more chips in a single package · CPC title

• G06N10/80 Primary

  Quantum programming, e.g. interfaces, languages or software-development kits for creating or handling programs capable of running on quantum computers; Platforms for simulating or accessing quantum computers, e.g. cloud-based quantum computing · CPC title