Quantum Streaming Kernel with Partial Measurement Memory
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Solution Overview
Problem
Existing data processing technologies face challenges in efficiently handling 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 the ability to process data over long memory time scales.
Innovation Solution
A quantum processor unit (QPU) operates as a quantum streaming kernel, continually processing streaming data without fully collapsing its coherent quantum state, allowing it to maintain internal quantum correlations and extract useful information from recent data history, using intrinsic nonlinearity for preprocessing and feature extraction in 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 coherent quantum information persistence deteriorates
Solution Approach 1:
The patent applies partial measurement by measuring only a subset of qubits (output qubits) rather than the entire quantum state. This allows extraction of useful information from the measured portion while preserving coherence in the unmeasured portion (input and intermediate qubits), thereby maintaining quantum information persistence while still achieving measurement precision for the extracted features.
2Loss of information
If quantum state is fully measured, then information extraction is improved, but quantum memory time scale deteriorates
Solution Approach 1:
The quantum processor is segmented into distinct qubit groups with specific functions: input qubits for data encoding, intermediate qubits for maintaining quantum memory, and output qubits for measurement. This segmentation allows information extraction from output qubits while preserving the quantum state in intermediate qubits, extending the quantum memory time scale without sacrificing information extraction capability.
3Productivity
If coherent quantum state is maintained indefinitely, then data processing capability is improved, but system complexity deteriorates
Solution Approach 1:
The quantum streaming kernel enables continuous data processing by maintaining coherent quantum states across multiple time steps. Input data is continuously encoded into the quantum state, processed through quantum operations, and measured to produce continuous output streams, thereby improving data processing capability while managing system complexity through sustained quantum coherence.
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.