Robot Quantum Gate Biometric Processing
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Solution Overview
Problem
Current deep learning approaches fail to replicate the complex information processing of the human brain, making it difficult to endow robots with will and consciousness.
Innovation Solution
A robot system incorporating biometric input devices, quantum gates for processing continuous and discrete information, and communication devices to transmit summarized functions, enabling functional communication and consciousness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If deep learning replaces complex information processing with simple probability theory, then computational efficiency is improved, but the ability to replicate human brain functions and create robot consciousness deteriorates
Solution Approach 1:
The patent transitions from classical digital parameters to quantum parameters by utilizing qubits that can exist in superposition states. This allows the system to process information in a manner that better replicates neural network behavior while maintaining computational efficiency through quantum parallelism.
Solution Approach 2:
The patent replaces traditional mechanical/digital computing mechanisms with quantum mechanical processes. By using quantum gates and quantum superposition, the system achieves a fundamental shift from classical information processing to quantum information processing, enabling more accurate modeling of human brain functions.
2Reliability
If quantum gates process both continuous and discrete information simultaneously, then the ability to model human thinking is improved, but device complexity increases
Solution Approach 1:
The quantum gate structure is designed to perform multiple functions simultaneously - processing both continuous analog information and discrete digital information through the same quantum circuit. This multi-functionality reduces the need for separate processing pathways while maintaining the ability to model complex human thinking patterns.
Solution Approach 2:
The patent introduces quantum states as an intermediary that bridges continuous and discrete information domains. The quantum superposition state acts as a mediator that can represent both types of information simultaneously, simplifying the overall system architecture compared to having separate processing systems.
3Productivity
If robots transmit functions of summarized state to other robots, then communication efficiency is improved, but loss of detailed information increases
Solution Approach 1:
Instead of transmitting complete detailed states, the system transmits summarized functional representations that capture the essential characteristics. These quantum-based functional copies preserve the core information needed for robot-to-robot communication while significantly reducing data transmission requirements.
Solution Approach 2:
The patent extracts and transmits only the essential functional characteristics from complex robot states. By identifying and transmitting only the relevant summarized functions rather than complete state information, the system achieves efficient communication while preserving the most important information.
Data Source
AI summary
A robot 10 includes an input device 21 configured to input biometric information handling emotional information of a human 70, a quantum gate 31 configured to simultaneously input a continuous change amount and a discrete separation quantity of the biometric information and output a plurality of functions derived through cutting of the continuous change amount and the discrete separation quantity, a quantum gate 41 configured to input a plurality of functions and output a function of a summarized state through summarization of the plurality of functions, and a communication device 60 configured to transmit the function of the summarized state to another robot 10.