Hybrid Quantum-Classical Quantum Autoencoder for Noise Removal
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Solution Overview
Problem
The challenge of extending the processing capabilities of quantum computers in hybrid systems, where classical and quantum computers are combined, is addressed by enhancing the range of processes executable by the quantum computer.
Innovation Solution
A computer system comprising a classical computer and a quantum computer, where the classical computer generates parameters and updates feature data based on input data and quantum computation results, while the quantum computer executes adiabatic quantum algorithms using these parameters to perform tasks such as noise removal and data restoration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If a quantum gate type quantum computer is used to perform calculations utilizing quantum mechanical nature, then computational capability is improved, but qubit vulnerability to external interference increases and quantum state maintenance duration decreases
Solution Approach 1:
The patent segments the processing workload by identifying which tasks should be performed on the quantum computer (quantum computation algorithms) and which on the classical computer (parameter generation, data preparation, result analysis). This segmentation allows the quantum computer to focus on tasks where it provides computational advantage while the classical computer handles tasks where it provides stability and reliability.
Solution Approach 2:
The patent introduces a classical computer as an intermediary between the quantum computer and the user/application. The classical computer handles data preparation, parameter generation, and result analysis, while only the core quantum computation is performed on the quantum computer. This intermediary approach protects the quantum computer from external interference while maintaining its computational capability.
2Adaptability or versatility
If the number of qubits is increased to expand processing capability, then computational power is improved, but noise inclusion increases and error correction becomes more difficult
Solution Approach 1:
The patent applies partial action by using a limited number of qubits for specific quantum computation tasks rather than attempting to scale up the entire system. The quantum computer performs only the essential quantum computation algorithms on a manageable number of qubits, while the classical computer handles the rest of the processing workload.
Solution Approach 2:
The patent changes the parameters of the quantum computation algorithms to optimize performance on near-term quantum hardware. By adjusting algorithm parameters and selecting quantum algorithms that are more tolerant of noise, the system achieves useful computational results without requiring error correction or extensive qubit scaling.
3Adaptability or versatility
If a hybrid system combining classical and quantum computers is used, then processing versatility is improved, but the range of processes executable by the quantum computer remains limited
Solution Approach 1:
The patent makes the quantum computer multi-functional by enabling it to execute various types of quantum computation algorithms for different applications. The same quantum hardware platform can perform different quantum algorithms (e.g., quantum Fourier transform, quantum phase estimation) depending on the specific computational task, thereby increasing its versatility without proportionally increasing system complexity.
Solution Approach 2:
The patent implements feedback mechanisms where the classical computer analyzes the results from the quantum computer and adjusts the quantum computation parameters accordingly. This feedback loop allows the system to optimize the quantum computation based on actual performance, making the hybrid system more adaptable while managing complexity through intelligent control.
Data Source
AI summary
A computer system is configured to extend processing executable by a quantum computer in a hybrid system of a classical computer and the quantum computer. The classical computer includes an extraction unit, a generation unit, and a synthesis unit, and the quantum computer includes a control unit and a quantum unit, where the extraction unit extracts a plurality of first element groups as a set of first elements, the generation unit generates parameters based on a first element contained in a corresponding first element group, the control unit controls the quantum unit to cause the quantum unit to execute a quantum computation algorithm on each of the plurality of first element groups based on the parameters and corresponding feature data, and the synthesis unit synthesizes the execution results of the quantum computation algorithm by the quantum unit for each of the plurality of first element groups.