Quantum Streaming Kernel for Coherent State Memory Retention
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Solution Overview
Problem
Existing data processing technologies struggle to efficiently handle streaming data with structured time dependence, as they often require full collapse of the quantum state for measurement, limiting the persistence of coherent quantum information and memory retention.
Innovation Solution
A quantum processor unit (QPU) operates as a quantum streaming kernel, processing data streams while maintaining a coherent quantum state, allowing for continuous data processing and retaining historical information without full measurement, utilizing intrinsic quantum nonlinearity to preprocess data for computationally-intensive applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If full collapse of quantum state is performed for measurement, then measurement precision is improved, but memory retention and coherent quantum information persistence deteriorate
Solution Approach 1:
The patent applies partial measurement by measuring only a subset of qubits rather than the entire quantum state. This allows extraction of useful information from the measured portion while preserving coherence in the unmeasured qubits, thereby maintaining quantum information persistence and memory retention without sacrificing measurement precision for the measured elements
2Loss of information
If quantum state is maintained coherent without full measurement, then quantum information persistence is improved, but data processing completeness deteriorates
Solution Approach 1:
The patent implements continuous data processing by repeatedly applying quantum logic operations to the maintained coherent quantum state. This allows the system to process streaming data continuously over time, extracting useful information through partial measurements while preserving the quantum state for ongoing processing, thereby achieving both information persistence and productive data processing
Solution Approach 2:
By performing partial measurements on only some qubits while leaving others unmeasured, the system achieves sufficient data processing completeness through the measured portion while maintaining the overall quantum state for continued processing, resolving the trade-off between processing completeness and information persistence
3Productivity
If quantum processor processes streaming data continuously, then productivity is improved, but device complexity increases
Solution Approach 1:
The patent segments the quantum processor into distinct functional components: input qubits for data encoding, intermediate qubits for processing, and output qubits for measurement. This modular segmentation enables continuous streaming data processing while managing device complexity through organized, specialized subsystems that can be independently optimized and controlled
Data Source
AI summary
In a general aspect, a quantum streaming kernel processes a data stream. In some aspects, an input stream of data is converted to an output stream of data by repeatedly receiving new portions of the input stream; encoding each new portion into an internal quantum state of a quantum processor; measuring a first part of the internal quantum state while maintaining coherence of a second part of the internal quantum state; and producing the output stream of data based on the measurements. In some cases, a history of the input stream is preserved by the coherence of the internal quantum state, and the measurements contain information based on the history of the input stream.