Noise classification through the output of random quantum circuits

Patent metadata

Field	Value
Publication number	US-11574227-B2
Application number	US-201916539433-A
Country	US
Kind code	B2
Filing date	Aug 13, 2019
Priority date	Aug 13, 2019
Publication date	Feb 7, 2023
Grant date	Feb 7, 2023

Abstract

A method for characterizing noise in a quantum system, the quantum system including a plurality of qubits and a plurality of entangling gates native to the quantum system, includes generating a random quantum circuit on a quantum processor, the random quantum circuit comprising the plurality of entangling gates native to the quantum system. The method includes running a simulation of the random quantum circuit on a classical computer a plurality of times to obtain ideal outcomes, and running the random quantum circuit on the quantum processor a plurality of times to obtain experimental outcomes. The method includes grouping the experimental outcomes based on probabilities of the ideal outcomes to obtain a first distribution, and grouping the experimental outcomes based on probabilities of the experimental outcomes to obtain a second distribution. The method includes characterizing noise in the quantum system based on the first distribution and the second distribution.

First claim

We claim:

1. A method for characterizing noise in a quantum system, wherein the quantum system comprises a quantum processor comprising a plurality of qubits and a plurality of entangling gates native to the quantum system, and the method comprising:
generating a random quantum circuit on the quantum processor, wherein the random quantum circuit comprises a group of entangling gates of the plurality of entangling gates;
running, via a classical processor, a simulation of the random quantum circuit a first plurality of times to obtain a corresponding plurality of ideal outcomes;
running, via the quantum processor, the random quantum circuit on a second plurality of times to obtain a corresponding plurality of experimental outcomes from the random quantum circuit acting on a group of qubits of the plurality of qubits associated with the group of entangling gates;
grouping the plurality of experimental outcomes based on probabilities of the ideal outcomes to obtain a first distribution;
grouping the plurality of experimental outcomes based on probabilities of the experimental outcomes to obtain a second distribution; and
characterizing noise in the quantum system based on the first distribution and the second distribution.

2. The method of claim 1 , wherein characterizing noise in the quantum system comprises quantifying coherent noise and incoherent noise in the quantum system.

3. The method of claim 1 , wherein the grouping of the plurality of experimental outcomes based on the probabilities of the ideal outcomes comprises defining a plurality of bins such that when the plurality of ideal outcomes are binned by ideal probability, a sum of probabilities in each bin is equal for a Porter-Thomas distribution.

4. The method of claim 3 , wherein a first total number of the plurality of bins is a polynomial function of a second total number of the group of qubits.

5. The method of claim 1 , wherein the plurality of qubits is between 3 qubits and 100 qubits.

6. The method of claim 1 , wherein the random quantum circuit comprises a plurality of random single-qubit rotations.

7. The method of claim 1 , wherein the plurality of entangling gates native to the quantum system are two-qubit CNOT gates.

8. The method of claim 1 , wherein the random quantum circuit comprises alternating cycles of single-qubit rotations and two-qubit CNOT gates.

9. The method of claim 1 , wherein the random quantum circuit has a depth on an order of the plurality of qubits in the quantum system.

10. The method of claim 1 , wherein characterizing the noise comprises:
calculating a first distance from the first distribution to an ideal distribution, wherein the ideal distribution being based on the simulation;
calculating a second distance from a first incoherent noise distribution to the ideal distribution, the first incoherent noise distribution having an equal probability for all possible incoherent noise outcomes, wherein the incoherent noise outcomes are grouped based on the probabilities of the ideal outcomes; and
calculating a first average circuit success ratio based on the first distance and the second distance.

11. The method of claim 10 , wherein characterizing the noise further comprises:
calculating a third distance from the second distribution to the ideal distribution;
calculating a fourth distance from a second incoherent noise distribution to the ideal distribution, wherein the second incoherent noise distribution having the equal probability for all possible incoherent noise outcomes, and wherein the incoherent noise outcomes are grouped based on probabilities of the incoherent noise outcomes;
calculating a second average circuit success ratio based on the third distance and the fourth distance; and
calculating a measure of coherent noise in the quantum system based on a difference between the first average circuit success ratio and the second average circuit success ratio.

12. A system for characterizing noise in a quantum system, comprising:
a quantum processor comprising a plurality of qubits and a plurality of entangling gates native to said quantum system;
a random quantum circuit comprising a group of entangling gates of the plurality of entangling gates, wherein the quantum processor runs the random quantum circuit a first plurality of times to obtain a corresponding plurality of experimental outcomes from the random quantum circuit acting on a group of qubits of the plurality of qubits associated with the group of entangling gates; and
a classical processor configured to:
run a simulation of said random quantum circuit a second plurality of times to obtain a corresponding plurality of ideal outcomes;
receive from the quantum processor the plurality of experimental outcomes;
group the plurality of experimental outcomes based on probabilities of the ideal outcomes to obtain a first distribution;
group the plurality of experimental outcomes based on probabilities of the experimental outcomes to obtain a second distribution; and
characterize noise in the quantum system based on the first distribution and the second distribution.

13. The system of claim 12 , wherein the classical processor is configured to characterize noise in the quantum system by quantifying coherent noise and incoherent noise in the quantum system.

14. The system of claim 12 , wherein the classical processor is configured to group the plurality of experimental outcomes based on the probabilities of the ideal outcomes by defining a plurality of bins such that when the plurality of ideal outcomes are binned by ideal probability, a sum of probabilities in each bin is equal for a Porter-Thomas distribution.

15. The system of claim 14 , wherein a first total number of the plurality of bins is a polynomial function of a second total number of the group of qubits.

16. The system of claim 14 , wherein the first plurality of times that the random quantum circuit is run is greater than a total number of the plurality of bins.

17. The system of claim 12 , wherein the plurality of qubits is between 3 qubits and 100 qubits.

18. The system of claim 12 , wherein the random quantum circuit comprises a plurality of random single-qubit rotations.

19. The system of claim 12 , wherein the plurality of entangling gates native to the quantum system are two-qubit CNOT gates.

20. The system of claim 12 , wherein the random quantum circuit comprises alternating cycles of single-qubit rotations and two-qubit CNOT gates.

21. The system of claim 12 , wherein the random quantum circuit has a depth on an order of the plurality of qubits in the quantum system.

22. The system of claim 12 , wherein the classical processor is configured to characterize the noise by:
calculating a first distance from the first distribution to an ideal distribution, wherein the ideal distribution being based on the simulation;
calculating a second distance from a first incoherent noise distribution to the ideal distribution, wherein the first incoherent noise distribution having an equal probability for all possible incoherent noise outcomes, and wherein the incoherent noise outcomes are grouped based on the probabilities of the ideal outcomes; and
calculating a first average circuit success ratio based on the first distance and the second distance.

23. The system of claim 22 , wherein the classical processor is further configured to characterize the noise by:
calculating a third distance from the second distribution to the i

Assignees

• IBM

Inventors

• Kim Jinsung
• Bishop Lev S
• Smolin John A
• Corcoles-Gonzalez Antonio

Classifications

• G06N10/70

  Quantum error correction, detection or prevention, e.g. surface codes or magic state distillation · CPC title

• G06N10/20

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

• G06F30/3308 Primary

  using simulation · CPC title

• G06F30/20

  Design optimisation, verification or simulation (optimisation, verification or simulation of circuit designs G06F30/30) · CPC title

• G06F17/18

  for evaluating statistical data {, e.g. average values, frequency distributions, probability functions, regression analysis (forecasting specially adapted for a specific administrative, business or logistic context G06Q10/04)} · CPC title