Quantum Circuit Measurement Shot Control Using Information Entropy

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Solution Overview

Problem

Existing quantum computing systems using variational quantum algorithms (VQA) inefficiently use quantum processing unit (QPU) resources due to fixed shot numbers, leading to unnecessary measurements or insufficient data acquisition, which affects computation time and cost.

Innovation Solution

A method to dynamically optimize the number of measurement shots of a QPU based on information entropy, adjusting the number of shots according to the entropy value to improve resource utilization and reduce computation time.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If the number of measurement shots of QPU is fixed to a maximum value, then the reliability of measurement results is improved, but the productivity of quantum computation processing is deteriorated due to unnecessary measurements

Engineering Contradiction:
Improvereliability of measurement resultsVSAvoidproductivity of quantum computation processing
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The patent applies dynamics by making the number of measurement shots adjustable rather than fixed. The system dynamically determines the optimal number of shots for each iteration based on convergence criteria, allowing the measurement process to adapt to the actual needs of the computation at each stage.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent changes the parameter of measurement shots from a static maximum value to a dynamically adjusted value. The system monitors convergence indicators and modifies the shot count parameter accordingly, reducing shots when convergence is achieved and increasing them when more precision is needed.

Inventive Principle:
Principle #35Parameter changes

2Productivity

If the number of measurement shots of QPU is reduced to improve productivity, then the productivity is improved, but the reliability of measurement results deteriorates due to insufficient data acquisition

Engineering Contradiction:
Improveproductivity of quantum computation processingVSAvoidreliability of measurement results
Core Design Contradiction:
ProductivityVSReliability

Solution Approach 1:

The patent implements feedback by continuously monitoring convergence indicators during the iterative process. The system uses this feedback to adjust the number of measurement shots in real-time, ensuring sufficient data acquisition when needed while reducing unnecessary measurements when convergence is achieved.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The patent applies partial action by performing only the necessary number of measurements required for convergence at each iteration stage. Instead of always performing maximum shots, the system performs just enough measurements to achieve the required precision, avoiding excessive action.

Inventive Principle:
Principle #16Partial or excessive action

3Productivity

If the number of iteration times is reduced by improving classical optimizer performance, then the productivity is improved, but the measurement shot requirement per iteration increases to maintain result reliability

Engineering Contradiction:
Improveproductivity of VQA performing processVSAvoidnumber of measurement shots per iteration
Core Design Contradiction:
ProductivityVSQuantity of substance

Solution Approach 1:

The patent makes the measurement shot count dynamic and adaptive to each iteration's needs. Rather than using a fixed high shot count across all iterations, the system adjusts shots based on actual convergence progress, allowing fewer total shots even when iteration count is reduced.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent changes the parameter of measurement shots from a static high value to a dynamically optimized value for each iteration. This allows the system to use fewer shots in later iterations when convergence is near, compensating for reduced iteration count while maintaining overall reliability.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS20260079808A1Method for operating a quantum computing system and a quantum computing system
Publication Date: 2026.03.19 HYUNDAI MOTOR CO LTD
  • US20260079808A1 patent drawing
  • US20260079808A1 patent drawing
  • US20260079808A1 patent drawing

AI summary

In a method for operating a quantum computing system and a quantum computing system, the method for operating a quantum computing system may include: generating, by the QPU, a probability distribution of a quantum state by executing a quantum circuit; outputting, by the QPU, a measurement result of the quantum state as classical data; determining, by the classical processor, an information entropy for the probability distribution of the quantum state based on the classical data; determining, by the classical processor, the number of measurement shots of the QPU according to the information entropy; delivering, by the classical processor, the determined number of measurement shots to the QPU; and iteratively measuring, by the QPU, the quantum circuit with the determined number of measurement shots.