Short-depth active learning quantum amplitude estimation without eigenstate collapse

Patent metadata

Field	Value
Publication number	US-2024193448-A1
Application number	US-202318193082-A
Country	US
Kind code	A1
Filing date	Mar 30, 2023
Priority date	Jan 31, 2020
Publication date	Jun 13, 2024
Grant date	—

Abstract

Techniques and a system to facilitate estimation of a quantum phase, and more specifically, to facilitate estimation of an expectation value of a quantum state, by utilizing a hybrid of quantum and classical methods are provided. In one example, a system is provided. The 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 include an encoding component and a learning component. The encoding component can encode an expectation value associated with a quantum state. The learning component can utilize stochastic inference to determine the expectation value based on an uncollapsed eigenvalue pair.

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:
a learning component that utilizes stochastic inference to determine an expectation value based on an uncollapsed eigenvalue pair, wherein the learning component comprises a measuring component that probabilistically measures the expectation value, and wherein the measuring component is independent of an input state.

2 . The system of claim 1 , further comprising an encoding component that encodes the expectation value associated with a quantum state.

3 . The system of claim 2 , wherein the encoding component encodes the expectation value based on an amplitude of the expectation value.

4 . The system of claim 3 , wherein the encoding component encodes the expectation value as a phase.

5 . The system of claim 1 , wherein the stochastic inference comprises Bayesian learning.

6 . The system of claim 1 , wherein the measuring component utilizes a first ancilla qubit of a quantum processor to retrieve the uncollapsed eigenvalue pair.

7 . The system of claim 6 , wherein the measuring component interfaces between the processor and the quantum processor.

8 . A computer-implemented method comprising:
determining, by a system operatively coupled to a processor, via stochastic inference, an expectation value based on an uncollapsed eigenvalue pair, wherein the determining comprises:
probabilistically measuring, by the system, the expectation value independent of an input state.

9 . The computer-implemented method of claim 8 , further comprising encoding, by the system, the expectation value associated with a quantum state.

10 . The computer-implemented method of claim 9 , wherein the encoding comprises encoding the expectation value based on an amplitude of the expectation value.

11 . The computer-implemented method of claim 10 , wherein the encoding comprises encoding the expectation value as a phase.

12 . The computer-implemented method of claim 8 , wherein the stochastic inference comprises Bayesian learning.

13 . The computer-implemented method of claim 8 , wherein the probabilistically measuring comprises utilizing a first ancilla qubit of a quantum processor to retrieve the uncollapsed eigenvalue pair.

14 . The computer-implemented method of claim 13 , wherein the probabilistically measuring further comprises utilizing a second ancilla qubit of the quantum processor to retrieve the uncollapsed eigenvalue pair.

15 . A computer program product for quantum state estimation, 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:
determine, via stochastic inference, an expectation value based on an uncollapsed eigenvalue pair, wherein the determining comprises:
probabilistically measure the expectation value independent of an input state.

16 . The computer program product of claim 15 , where the program instructions are executable by the processor to further cause the processor to encode the expectation value associated with a quantum state.

17 . The computer program product of claim 16 , wherein the encoding comprises encoding the expectation value based on an amplitude of the expectation value.

18 . The computer program product of claim 17 , wherein the encoding comprises encoding the expectation value as a phase.

19 . The computer program product of claim 15 , wherein the stochastic inference comprises Bayesian learning.

20 . The computer program product of claim 15 , wherein the probabilistically measuring comprises utilizing a first ancilla qubit of a quantum processor to retrieve the uncollapsed eigenvalue pair.

Assignees

• IBM

Inventors

• Akhalwaya Ismail Yunus
• Clarkson Kenneth
• Horesh Lior
• Squillante Mark
• Ubaru Shashanka
• Kalantzis Vasileios

Classifications

• G06N10/00 Primary

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

• G06F17/11

  for solving equations {, e.g. nonlinear equations, general mathematical optimization problems (optimization specially adapted for a specific administrative, business or logistic context G06Q10/04)} · CPC title

• G06N20/00

  Machine learning · CPC title

• G06N7/01

  Probabilistic graphical models, e.g. probabilistic networks · CPC title

• G06N10/60

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