Quantum feature kernel estimation using an alternating two layer quantum circuit

Patent metadata

Field	Value
Publication number	US-11295223-B2
Application number	US-201816185616-A
Country	US
Kind code	B2
Filing date	Nov 9, 2018
Priority date	Jun 12, 2018
Publication date	Apr 5, 2022
Grant date	Apr 5, 2022

Abstract

Techniques and a system to facilitate quantum computation are provided. In one example, a system includes a processor that executes computer executable components stored in a memory; a quantum feature map circuit component that estimates a kernel associated with a feature map; and a support vector machine component that performs a classification using the estimated kernel.

First claim

What is claimed is:

1. A system comprising:
a processor that executes computer executable components stored in a memory;
a quantum feature map circuit component that estimates a kernel associated with a feature map; and
a support vector machine component that performs a classification using the estimated kernel.

2. The system of claim 1 , wherein the quantum feature map circuit component comprises a first layer of Hadamard gates operatively coupled to a first global phase gate operatively coupled to a second layer of Hadamard gates operatively coupled to a second global phase gate.

3. The system of claim 2 , wherein the kernel is a matrix of data mapped to a quantum state after a feature map.

4. The system of claim 3 , wherein the feature map is un-evaluable with fewer than exponential classical resources corresponding to available qubits of the quantum feature map circuit component.

5. The system of claim 4 , wherein the quantum feature map circuit component is operable in a setting with bounded coherence.

6. The system of claim 2 , wherein the first global phase gate is defined by a sequence of microwave pulses parameterized by waveform, amplitude and time.

7. The system of claim 6 , wherein the second global phase gate is defined by a sequence of microwave pulses parameterized by waveform, amplitude and time.

8. The system of claim 2 , wherein the first global phase gate is defined by a sequence of single and two qubit phase gates that entangle all qubits in the feature map.

9. A computer-implemented method comprising:
using a processor to executes computer executable components stored in a memory;
estimate, by a quantum feature map circuit component operatively coupled to the processor, a kernel associated with a feature map; and
perform a classification using the estimated kernel by a support vector machine component operatively coupled to the processor.

10. The computer-implemented method of claim 9 , comprising executing the quantum feature map circuit component using a first layer of Hadamard gates operatively coupled to a first global phase gate operatively coupled to a second layer of Hadamard gates operatively coupled to a second global phase gate.

11. The computer-implemented method of claim 10 , further comprising defining the first global phase gate by a sequence of microwave pulses parameterized by waveform, amplitude and time.

12. The computer-implemented method of claim 10 , further comprising defining the second global phase gate by a sequence of microwave pulses parameterized by waveform, amplitude and time.

13. The computer-implemented method of claim 10 , further comprising defining the first global phase gate by a sequence of single and two qubit phase gates that entangle all qubits in the feature map.

14. The computer-implemented method of claim 10 , wherein the feature map is un-evaluable with fewer than exponential resources of available qubits.

15. A computer program product for facilitating quantum programming, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to:
estimate, by the processor, a kernel associated with a feature map; and
perform, by the processor, a classification using the estimated kernel.

16. The computer program product of claim 15 , the program instructions executable by the processor to cause the processor to: execute the quantum feature map circuit component using a first layer of Hadamard gates operatively coupled to a first global phase gate operatively coupled to a second layer of Hadamard gates operatively coupled to a second global phase gate.

17. The computer program product of claim 16 , the program instructions executable by the processor to cause the processor to define the first global phase gate by a sequence of microwave pulses parameterized by waveform, amplitude and time.

18. The computer program product of claim 16 , the program instructions executable by the processor to cause the processor to define the second global phase gate by a sequence of microwave pulses parameterized by waveform, amplitude and time.

19. The computer program product of claim 16 , the program instructions executable by the processor to cause the processor to define the first global phase gate by a sequence of single and two qubit phase gates that entangle all qubits in the feature map.

20. The computer program product of claim 15 , wherein the feature map is un-evaluable with fewer than exponential resources of available qubits.

Assignees

• IBM

Inventors

• Corcoles-Gonzalez Antonio
• Temme Paul Kristan
• Gambetta Jay M

Classifications

• G06N10/60 Primary

  Quantum algorithms, e.g. based on quantum optimisation, quantum Fourier or Hadamard transforms · CPC title

• G06N5/047 Primary

  Pattern matching networks; Rete networks · CPC title

• G06N20/00

  Machine learning · CPC title

• G06N20/10

  using kernel methods, e.g. support vector machines [SVM] · CPC title

• G06N10/00

  Quantum computing, i.e. information processing based on quantum-mechanical phenomena · CPC title