Quantum Noise Random Number Generator Pixel Performance Management
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Solution Overview
Problem
Quantum shot-noise-based random number generators face performance reliability issues due to variations in entropic signals from image sensors caused by manufacturing differences, temperature, and current supply, leading to inconsistent randomness quality across pixels.
Innovation Solution
A performance management device that analyzes output values from each pixel and adjusts settings for the light source and image sensor to maintain stability, including controlling light intensity, pixel driving, and Range Of Interest (ROI), to ensure consistent randomness by monitoring and adjusting settings based on statistical characteristic reference areas and noise levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a quantum shot-noise-based random number generator uses output values from each pixel of an image sensor, then true random numbers can be generated, but performance reliability deteriorates due to variations in entropic signals caused by manufacturing differences, temperature, and current supply
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting the exposure time of the image sensor and the light intensity of the light source to compensate for pixel-specific variations. By modifying these parameters, the system maintains consistent entropic signal quality across all pixels despite manufacturing differences, thereby resolving the contradiction between reliability and manufacturing precision
Solution Approach 2:
The patent implements feedback mechanisms by measuring the actual output values from each pixel and using this information to adjust system parameters. The controller monitors pixel performance and modifies exposure time or light intensity accordingly, creating a closed-loop system that ensures reliable random number generation despite variations in pixel characteristics
2Reliability
If the light intensity value accumulated in each pixel is increased to improve randomness quality, then entropy increases, but the system becomes more sensitive to manufacturing variations and environmental factors
Solution Approach 1:
The patent uses parameter changes to optimize the balance between randomness quality and sensitivity. By adjusting exposure time and light intensity within specific ranges, the system achieves sufficient entropy generation while reducing the impact of manufacturing variations and environmental factors on pixel output
Solution Approach 2:
The patent applies partial action by using only the necessary amount of light accumulation required to achieve adequate entropy, rather than maximizing light intensity. This approach generates sufficient randomness while minimizing sensitivity to harmful factors such as manufacturing differences and temperature variations
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach secures sufficient randomness and minimizes deviations between pixels by maintaining entropic signal quality within predetermined ranges, ensuring reliable performance of the random number generator.
Implementation Method 1
a random number generator that generates a true random number using a quantum phenomenon... uses a light intensity value accumulated for a predetermined amount of time in each pixel
Implementation Method 2
generates a true random number through shot noise or quantum shot noise which indicates uncertainty of the number of photons generated by a light source
Data Source
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AI summary
The present invention presents a device and method for managing the performance of a quantum noise-based random number generator, the device ensuring the performance stability of a random number generator on the basis of an output value for each pixel, which is outputted in correspondence to an optical strength value of an optical signal emitted from a light source and inputted into each pixel, so as to be capable of outputting, within a certain range regardless of devices, a value of an entropic signal outputted from an image sensor, thereby enabling sufficient randomness to be continuously maintained while minimizing deviation between pixels.