IP Library Granted Patent US 11,288,121
Granted Patent B2
US 11,288,121 · App. 16/851,833 · Granted Mar 29, 2022

Simulating errors of a quantum device using variational quantum channels

Inventor: Amara Katabarwa (Cambridge, MA)
Assignee: Zapata Computing, Inc.
G06F11/1076G06N10/00
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Quick Facts
Patent No.
US 11,288,121
App. No.
16/851,833
Granted
Mar 29, 2022
Kind
B2
Abstract

A hybrid quantum classical (HQC) computer system, which includes both a classical computer component and a quantum computer component, implements indirect benchmarking of a near term quantum device by directly benchmarking a virtual quantum machine that models the quantum computer device and that has a level of errors that corresponds to the level of errors associated with the quantum computer device. The direct benchmarking, conducted using quantum error correction tools, produces a probability distribution of error syndromes that may be used as a probability distribution of error syndromes for the quantum computer device.

Claims (40)

1. A method for use with a hybrid quantum-classical device, the hybrid quantum-classical device comprising a quantum device and a classical computer, the classical computer comprising at least one processor and at least one non-transitory computer-readable medium having computer program instructions stored thereon, the computer program instructions being executable by the at least one processor to perform the method, the method comprising:

(A) initializing the quantum device with at least one initial state;

(B) applying a quantum error correcting (QEC) code to the quantum device in the at least one initial state to produce a first output distribution;

(C) sampling the first output distribution;

(D) simulating, on a classical computer, the first output distribution of the quantum device, the simulating comprising:

(D) (1) initializing a simulation of the quantum device on the classical computer with the at least one initial state;

(D) (2) applying the QEC code to the simulation of the quantum device;

(D) (3) applying a simulated variational quantum channel to the simulation of the quantum device to produce a second output distribution;

(E) adjusting parameters of the simulated variational quantum channel to increase the similarity of the first and second output distributions.

2. The method of claim 1 , wherein (E) comprises adjusting parameters of the simulated variational quantum channel to optimally match the first output distribution.

3. The method of claim 1 , wherein the simulated quantum device comprises a simulated programmable quantum computer.

4. The method of claim 1 , wherein the simulated quantum device comprises a simulated quantum annealer.

5. The method of claim 1 , wherein the simulated quantum device comprises a simulated photonic quantum computer, and wherein the QEC comprises a quantum repeater.

6. The method of claim 1 , wherein the quantum device comprises a quantum computer, the quantum computer comprising a plurality of qubits.

7. The method of claim 6 , further comprising using the simulated variational quantum channel to determine improvements to fidelities of two-qubit gates in the quantum computer.

8. The method of claim 1 , wherein the at least one initial state comprises a plurality of initial states.

9. The method of claim 1 , further comprising:

(F) before (B), selecting the QEC code based on error modes of the quantum device.

10. The method of claim 1 , further comprising:

(F) selecting the QEC code based on error modes of the quantum device.

11. A system comprising at least one non-transitory computer-readable medium having computer program instructions stored thereon, the computer program instructions being executable by at least one processor to perform a method, the method comprising:

(A) initializing a quantum device with at least one initial state;

(B) applying a quantum error correcting (QEC) code to the quantum device in the at least one initial state to produce a first output distribution;

(C) sampling the first output distribution;

(D) simulating, on a classical computer, the first output distribution of the quantum device, the simulating comprising:

(D) (1) initializing a simulation of the quantum device on the classical computer with the at least one initial state;

(D) (2) applying the QEC code to the simulation of the quantum device;

(D) (3) applying a simulated variational quantum channel to the simulation of the quantum device to produce a second output distribution;

(E) adjusting parameters of the simulated variational quantum channel to increase the similarity of the first and second output distributions.

12. The system of claim 11 , wherein (E) comprises adjusting parameters of the simulated variational quantum channel to optimally match the first output distribution.

13. The system of claim 11 , wherein the simulated quantum device comprises a simulated programmable quantum computer.

14. The system of claim 11 , wherein the simulated quantum device comprises a simulated quantum annealer.

15. The system of claim 11 , wherein the simulated quantum device comprises a simulated photonic quantum computer, and wherein the QEC comprises a quantum repeater.

16. The system of claim 11 , wherein the quantum device comprises a quantum computer, the quantum computer comprising a plurality of qubits.

17. The system of claim 16 , further comprising using the simulated variational quantum channel to determine improvements to fidelities of two-qubit gates in the quantum computer.

18. The system of claim 11 , wherein the at least one initial state comprises a plurality of initial states.

19. The system of claim 11 , wherein the method further comprises:

(F) before (B), selecting the QEC code based on error modes of the quantum device.

20. The system of claim 11 , wherein the method further comprises:

(F) selecting the QEC code based on error modes of the quantum device.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 17, 2020
From: KATABARWA, AMARA
To: ZAPATA COMPUTING, INC.
Reel/Frame 052432/0048 →
Continuity (2)
Provisional Application 62836451 · Apr 19, 2019
Related Publication 20200334107A1 · Oct 22, 2020
Cited By (1)
US 12,547,923