Quantum Image Change Detection With Ancilla-Guided Region Comparison

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Solution Overview

Problem

Existing image comparison methods are resource-intensive and time-consuming, particularly when dealing with large images, and struggle to efficiently detect changes due to their inability to handle complex image structures like edges.

Innovation Solution

A quantum computer-based method using a quantum circuit with ancilla qubits and image qubits in superposition to efficiently compare two images by loading them onto a quantum circuit, utilizing FRQI encoding and LCU framework to detect changes in logarithmic scale, enabling parallel processing and region-wise detection.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If classical image comparison methods are used, then images can be compared with basic processing, but the methods are resource-intensive and time-consuming for large images

Engineering Contradiction:
Improveimage comparison speedVSAvoidcomputational resources
Core Design Contradiction:
ProductivityVSUse of energy by moving object

Solution Approach 1:

The patent replaces classical mechanical computation systems with a quantum computing system that utilizes quantum mechanical principles. The quantum computer processes image data through quantum superposition and entanglement, substituting the sequential classical computational approach with parallel quantum operations that achieve exponential speedup for image comparison tasks

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent transitions from classical binary data representation to quantum state representation in Hilbert space. By encoding image pixels as quantum amplitudes rather than classical bits, the system operates in a higher-dimensional quantum state space, enabling simultaneous processing of multiple pixel values and achieving logarithmic scaling with respect to image size

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

2Measurement precision

If classical methods process large images, then complete image data can be analyzed, but the processing time increases significantly

Engineering Contradiction:
Improvechange detection accuracyVSAvoidprocessing time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent performs preliminary encoding of image data into quantum states before the actual comparison operation. By pre-processing images into quantum amplitude representations and preparing the quantum circuit with appropriate initialization, the system eliminates the need for sequential pixel-by-pixel comparison during the measurement phase, achieving rapid change detection

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent creates quantum copies of image data through superposition states, where a single quantum state represents multiple pixel values simultaneously. This quantum copying mechanism allows the system to analyze complete image data without the time penalty of classical methods, as the quantum state inherently contains information about all pixels through its amplitude distribution

Inventive Principle:
Principle #26Copying

3Manufacturing precision

If quantum circuits use more qubits to represent images, then higher resolution images can be processed, but the number of required qubits increases

Engineering Contradiction:
Improveimage resolutionVSAvoidnumber of qubits
Core Design Contradiction:
Manufacturing precisionVSDevice complexity

Solution Approach 1:

The patent changes the fundamental parameter representation from classical bits to quantum amplitudes. By encoding pixel intensity values as quantum state amplitudes rather than binary digits, the system achieves exponential compression: an n-qubit register can represent 2^n pixel values simultaneously, reducing the qubit requirement from linear to logarithmic scaling with image resolution

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS12547921B2Change detection in images using quantum computers
Publication Date: 2026.02.10 IONQ INC
  • US12547921B2 patent drawing
  • US12547921B2 patent drawing
  • US12547921B2 patent drawing

AI summary

Aspects of the present disclosure relate generally to systems and methods for detecting change in images using a quantum information processing (QIP) system. The method includes implementing a quantum circuit in the QIP system, the quantum circuit comprising at least an ancilla qubit denoted as |a> and qubits denoted as image qubit conditions on a |0> state and a |1> state of the ancilla qubit |a>. The method also includes loading a reference image and a test image onto image qubits controlled on the |0> state and the |1> state of the ancilla qubit |a> in the quantum circuit. The method further includes determining a state of the image qubits after measuring |1> on the ancilla qubit for a predetermined number of times, wherein the reference image is detected to be different from the test image when the state of the ancilla qubit measures |1>.