Quantum Streaming Kernel With Partial Measurement for Coherence Retention
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing data processing systems struggle to efficiently utilize the high dimensionality and intrinsic nonlinearity of quantum processors for real-time data processing tasks, such as machine learning and signal processing, without collapsing the coherent quantum state.
Innovation Solution
A quantum processor unit (QPU) operates as a quantum streaming kernel to preprocess data streams, maintaining a coherent quantum state and leveraging temporal correlations, enabling continuous data processing and feature extraction without full system state collapse.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a quantum processor performs computational tasks using quantum algorithms, then computational capability is improved, but the coherent quantum state collapses during measurement
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 computational results while preserving coherence in the remaining qubits, enabling the quantum processor to continue processing subsequent data without full state collapse
Solution Approach 2:
The quantum processor operates continuously by maintaining coherent quantum states across multiple processing cycles. By preserving quantum coherence between iterations and continuously processing streaming data, the system achieves sustained computational capability without repeated full measurements that would collapse the state
2Loss of information
If a quantum processor fully measures the system state to obtain output information, then information extraction is improved, but the quantum coherence is lost
Solution Approach 1:
The quantum processor is segmented into distinct qubit groups: input qubits, intermediate qubits, and output qubits. This segmentation allows selective measurement of only the output qubits, extracting necessary information while preserving the quantum coherence of input and intermediate qubits for continued processing
Solution Approach 2:
The patent extracts only the necessary output information from specific output qubits rather than measuring the entire quantum state. This selective extraction obtains the required computational results while leaving the rest of the quantum system in a coherent state for further operations
3Productivity
If a quantum processor processes streaming data continuously, then data processing efficiency is improved, but maintaining quantum state over time becomes difficult
Solution Approach 1:
The quantum processor is initialized with a predetermined quantum state configuration before processing begins. This preliminary preparation establishes the coherent state structure in advance, allowing continuous data processing to proceed without repeated state initialization or full remeasurement
Solution Approach 2:
The system maintains continuous quantum coherence across multiple processing cycles by avoiding full measurements. The coherent state persists through iterative processing of streaming data, enabling sustained high-speed computation without the coherence loss that would occur with repeated complete measurements
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.