IP Library Granted Patent US 11,907,806
Granted Patent B2
US 11,907,806 · App. 17/661,442 · Granted Feb 20, 2024

Parameter calibration method and system, quantum chip control method

Inventor: Xiaotong Ni (Hangzhou, CN)
Assignee: Alibaba Singapore Holding Private Limited
G06N10/40G06N10/70H03K17/92
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Quick Facts
Patent No.
US 11,907,806
App. No.
17/661,442
Granted
Feb 20, 2024
Kind
B2
Abstract

A parameter calibration method is provided. The parameter calibration method includes: obtaining a control parameter to be calibrated; determining a simulation running error corresponding to a quantum chip; determining calibration data corresponding to the control parameter to be calibrated based on the simulation running error; and obtaining a calibrated control parameter by calibrating the control parameter to be calibrated based on the calibration data, wherein the calibrated control parameter is used for controlling operation of the quantum chip.

Claims (62)

1. A parameter calibration method, comprising:

obtaining a control parameter to be calibrated;

determining a simulation running error corresponding to a quantum chip;

determining calibration data corresponding to the control parameter to be calibrated based on the simulation running error; and

obtaining a calibrated control parameter by calibrating the control parameter to be calibrated using the calibration data, wherein the calibrated control parameter is used for controlling operation of the quantum chip.

2. The method according to claim 1 , wherein the control parameter to be calibrated changes with a chip parameter of the quantum chip.

3. The method according to claim 1 , wherein determining the simulation running error corresponding to the quantum chip comprises:

obtaining at least one quantum bit included in the quantum chip;

determining a simulation running error corresponding to the at least one quantum bit; and

determining the simulation running error corresponding to the quantum chip based on the simulation running error corresponding to the at least one quantum bit.

4. The method according to claim 3 , wherein determining the simulation running error corresponding to the at least one quantum bit comprises:

determining a simulated performance parameter and a theoretical performance parameter corresponding to each of the at least one quantum bit; and

determining the simulation running error corresponding to the at least one quantum bit based on the simulated performance parameter and the theoretical performance parameter.

5. The method according to claim 4 , wherein determining the simulated performance parameter corresponding to each of the at least one quantum bit comprises:

obtaining at least one simulation running parameter used for controlling at least one quantum bit on the quantum chip;

determining a quantum gate precision corresponding to each of the at least one simulation running parameter; and

determining the simulated performance parameter corresponding to each of the at least one quantum bit based on the quantum gate precision corresponding to each of the at least one simulation running parameter.

6. The method according to claim 5 , wherein different simulation running parameters correspond to a same simulation running error or different simulation running errors.

7. The method according to claim 3 , wherein the simulation running error comprises at least one of: a simulation running error corresponding to a chip parameter or a simulation running error corresponding to a control parameter.

8. The method according to claim 2 , wherein the chip parameter comprises at least one of: a capacitance corresponding to the quantum chip, an inductance corresponding to the quantum chip, or a parameter corresponding to the quantum chip and used for characterizing energy stored in a Josephson junction.

9. The method according to claim 1 , wherein after obtaining the calibrated control parameter, the method further comprises:

obtaining a set control parameter used for controlling the quantum chip, wherein the set control parameter does not change with the chip parameter of the quantum chip; and

controlling an operation of the quantum chip based on the set control parameter and the calibrated control parameter.

10. The method according to claim 9 , wherein after controlling the operation of the quantum chip based on the set control parameter and the calibrated control parameter, the method further comprises:

determining a quantum gate average precision of the quantum chip; and

optimizing the set control parameter and the calibrated control parameter by using a gradient optimization algorithm and the quantum gate average precision.

11. The method according to claim 10 , wherein determining the quantum gate average precision of the quantum chip further comprises:

obtaining at least one set error parameter used for controlling at least one quantum bit on the quantum chip;

determining a quantum gate precision corresponding to each of the at least one set error parameter; and

averaging all the quantum gate precisions corresponding to the at least one set error parameter to obtain the quantum gate average precision.

12. The method according to claim 10 , wherein optimizing the set control parameter and the calibrated control parameter by using the gradient optimization algorithm and the quantum gate average precision further comprises:

performing a reverse differentiation operation on the quantum gate average precision by using the gradient optimization algorithm to obtain a gradient of the set control parameter and a gradient of the calibrated control parameter; and

optimizing the set control parameter and the calibrated control parameter respectively based on the gradient of the set control parameter and the gradient of the calibrated control parameter, to obtain a first optimized parameter and a second optimized parameter, wherein the first optimized parameter and the second optimized parameter are used for controlling the quantum chip.

13. A parameter calibration system, comprising:

a quantum chip; and

a parameter calibration apparatus, connected to the quantum chip, wherein the parameter calibration apparatus comprises a memory configured to store instructions; and one or more processors configured to execute the instructions to cause the apparatus to perform:

obtain a control parameter to be calibrated;

determine a simulation running error corresponding to the quantum chip;

determine calibration data corresponding to the control parameter to be calibrated based on the simulation running error; and

obtain a calibrated control parameter by calibrating the control parameter based on the calibration data, wherein the calibrated control parameter is used for controlling operation of the quantum chip.

14. A quantum chip control method, comprising:

obtaining a first parameter and a second parameter that are used for controlling a quantum chip to perform operations, wherein the first parameter changes with a chip parameter of the quantum chip, and the second parameter does not change with the chip parameter of the quantum chip;

determining calibration data corresponding to the first parameter, wherein the calibration data is determined based on a simulation running error corresponding to the quantum chip;

calibrating the first parameter based on the calibration data to obtain a calibrated first parameter; and

controlling, based on the calibrated first parameter and the second parameter, the quantum chip to perform an operation.

15. The method according to claim 14 , wherein the first parameter comprises at least one of: a capacitance corresponding to the quantum chip, an inductance corresponding to the quantum chip, or a parameter corresponding to the quantum chip and used for characterizing energy stored in a Josephson junction; and the second parameter comprises a waveform used for controlling the quantum chip to perform an operation.

16. The method according to claim 14 , wherein determining the calibration data corresponding to the first parameter further comprises:

obtaining at least one set error parameter used for controlling at least one quantum bit on the quantum chip;

determining an error corresponding to the quantum chip by controlling the quantum chip based on at least one set error parameter, the first parameter and the second parameter; and

determining the calibration data corresponding to the first parameter and the second parameter based on the error corresponding to the quantum chip.

17. The method according to claim 16 , wherein controlling, based on the calibrated first parameter and the second parameter, the quantum chip to perform an operation is:

controlling, based on an optimized calibrated first parameter and an optimized second parameter, the quantum chip to perform an operation.

18. The method according to claim 17 , wherein before controlling, based on the optimized calibrated first parameter and the optimized second parameter, the quantum chip to perform an operation, the method further comprises:

obtaining the optimized calibrated first parameter by optimizing the calibrated first parameter based on a gradient of the calibrated first parameter; and

obtaining the optimized calibrated second parameter by optimizing the second parameter based on a gradient of the second parameter.

19. The method according to claim 18 , wherein controlling, based on the optimized calibrated first parameter and the optimized second parameter, the quantum chip to perform an operation further comprises:

generating at least one quantum gate corresponding to at least one calibrated first parameter;

determining an ideal quantum gate corresponding to the generated at least one quantum gate;

generating a precision of the at least one quantum gate corresponding to the at least one set error parameter based on the generated quantum gate and the ideal quantum gate; and

obtaining a quantum gate average precision by averaging all the quantum gate precisions corresponding to all the set error parameters; and

performing a reverse differentiation operation on the quantum gate average precision to obtain the gradient of the calibrated first parameter and the gradient of the second parameter using gradient optimization algorithm.

20. The method according to claim 14 , wherein a quantity of the calibration data is one or more, and a quantity of the calibrated first parameters obtained is the same as the quantity of the calibration data.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 5, 2024
From: ALIBABA SINGAPORE HOLDING PRIVATE LIMITED
To: ALIBABA INNOVATION PRIVATE LIMITED
Reel/Frame 066348/0252 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 16, 2022
From: NI, XIAOTONG
To: ALIBABA SINGAPORE HOLDING PRIVATE LIMITED
Reel/Frame 059919/0532 →
Priority Claims (1)
CN 202110553788.9 · May 20, 2021 · national
Continuity (1)
Related Publication 20220374754A1 · Nov 24, 2022