Phase-robust matched kernel acquisition for qubit state determination

Patent metadata

Field	Value
Publication number	US-12154003-B2
Application number	US-202318183602-A
Country	US
Kind code	B2
Filing date	Mar 14, 2023
Priority date	Nov 7, 2019
Publication date	Nov 26, 2024
Grant date	Nov 26, 2024

Abstract

Systems, computer-implemented methods, and computer program products that can facilitate determining a state of a qubit are described. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise an output receiving component that can receive, in response to a request, output representative of a quantum state of a qubit of a quantum computing device, and a classifying component that classifies the quantum state of the qubit of the quantum computing device based on the output representative of the quantum state of the qubit. The system can further include a configuring component that can configure the classifying component based on a characteristic of the request.

First claim

What is claimed is:

1. A system, comprising:
a memory that stores computer executable components; and
a processor that executes the computer executable components stored in the memory, wherein the computer executable components comprise:
an output receiving component that receives, in response to a request signal, an output signal representative of a quantum state of a qubit;
a classifying component that is configured based on a characteristic of the request signal and that classifies the quantum state of the qubit based on the output signal;
a kernel generating component that generates kernels for storage in a kernel storage; and
wherein the classifying component is configured to employ a kernel from the kernel storage to generate a transformed output, wherein the kernel comprises a phase value that corresponds to a phase of the request signal.

2. The system of claim 1 , wherein the classifying component:
transforms the output signal based on a configuration of the classifying component, resulting in transformed output; and
classifies the quantum state of the qubit based on the transformed output.

3. The system of claim 1 , wherein the classifying component is configured to receive the kernel from the kernel storage to generate a transformed output, wherein the kernel comprises a phase value that does not correspond to a phase of the request signal, and
the classifying component time shifts values of the kernel, resulting in a time shifted kernel having a phase value that corresponds to the phase of the request signal.

4. The system of claim 3 , wherein the classifying component is configured to employ the time shifted kernel.

5. The system of claim 1 , wherein the classifying component is configured to receive a first kernel with a first phase value that does not correspond to a phase of the request signal and a second kernel with a second phase value that does not correspond to the phase of the request signal from the kernel storage, wherein the sine of the combination of a first phase of the first phase value and a second phase of the second phase value does not equal zero, and
the classifying component generates third kernel based on the first kernel, the second kernel, and sine interpolation factors of the first phase and the second phase, wherein a phase value of the third kernel corresponds to the phase of the request signal.

6. The system of claim 5 , wherein the classifying component is configured to employ the third kernel.

7. A computer-implemented method, comprising:
receiving, by a system, in response to a request signal, an output signal representative of a quantum state of a qubit;
classifying, by the system, the quantum state of the qubit based on the output signal and a configuration determined by a characteristic of the request signal;
generating, by the system, kernels for storage in a kernel storage; and
employing a kernel from the kernel storage to generate a transformed output, wherein the kernel comprises a phase value that corresponds to a phase of the request signal.

8. The method of claim 7 , wherein the classifying the quantum state comprises:
transforming, by the system, the output signal based on the configuration determined by a characteristic of the request signal, resulting in transformed output; and
classifying, by the system, the quantum state of the qubit based on the transformed output.

9. The method of claim 7 , further comprising:
receiving, by the system, the kernel from the kernel storage to generate a transformed output, wherein the kernel comprises a phase value that does not correspond to a phase of the request signal, and
time shifting, by the system, values of the kernel, resulting in a time shifted kernel comprising a phase value that corresponds to the phase of the request signal.

10. The method of claim 9 , further comprising:
employing, by the system, the time shifted kernel.

11. The method of claim 7 , further comprising:
receiving, by the system, a first kernel comprising a first phase value that does not correspond to a phase of the request signal and a second kernel with a second phase value that does not correspond to the phase of the request signal from the kernel storage, wherein the sine of the combination of a first phase of the first phase value and a second phase of the second phase value does not equal zero, and
generating, by the system, a third kernel based on the first kernel, the second kernel, and sine interpolation factors of the first phase and the second phase.

12. The method of claim 11 , further comprising:
employing, by the system, the third kernel.

13. A computer program product facilitating determining a quantum state of a qubit, 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:
receive, by the processor, in response to a request signal, an output signal representative of the quantum state of the qubit; and
classify, by the processor, the quantum state of the qubit based on the output signal and a configuration determined by a characteristic of the request signal;
wherein operations to classify the quantum state comprise operations to: employ, by the processor, a kernel from a kernel storage to generate a transformed output, wherein the kernel comprises a phase value that corresponds to a phase of the request signal.

14. The computer program product of claim 13 , wherein operations to classify the quantum state comprise operations to:
receive, by the processor, the kernel from the kernel storage to generate a transformed output, wherein the kernel comprises a phase value that does not correspond to a phase of the request signal;
time shift, by the processor, values of the kernel, resulting in a time shifted kernel having a phase value that corresponds to the phase of the request signal; and
employ, by the processor, the time shifted kernel.

15. The computer program product of claim 13 , wherein operations to classify the quantum state comprise operations to:
receive, by the processor, a first kernel comprising a first phase value not corresponding to a phase of the request signal and a second kernel comprising a second phase value not corresponding to the phase of the request signal from a kernel storage, wherein the sine of the combination of a first phase of the first phase value and a second phase of the second phase value does not equal zero;
generating, by the processor, a third kernel based on the first kernel, the second kernel, and sine interpolation factors of the first phase and the second phase; and
employ, by the processor, the third kernel.

Assignees

• IBM

Inventors

• Inoue Ken
• Takita Maika
• Corcoles-Gonzalez Antonio
• Lekuch Scott Douglas

Classifications

• G06N10/20

  Models of quantum computing, e.g. quantum circuits or universal quantum computers · CPC title

• G06N10/00 Primary

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

• G06F17/16

  Matrix or vector computation {, e.g. matrix-matrix or matrix-vector multiplication, matrix factorization (matrix transposition G06F7/78)} · CPC title

• G06F18/2411 Primary

  based on the proximity to a decision surface, e.g. support vector machines · CPC title

• G06N20/10

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