Qubit State Classification Hardware for Low-Latency Signal Parsing
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Solution Overview
Problem
Conventional technologies lack a hardware system for effectively parsing the quantum state of a qubit, which is crucial for understanding the execution performance of a quantum chip.
Innovation Solution
A quantum state information processing system comprising a sampling module, frequency mixing module, demodulation module, and determining module, where the demodulation module includes a filter and accumulator to process analog signals from a qubit, using a state classification equation to distinguish different quantum states, and implemented using FPGA, DSP, or MCU to reduce data processing delay.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If conventional technologies are used for parsing quantum state information, then the system complexity is low, but the data processing delay is excessive and real-time performance is lost
Solution Approach 1:
The patent segments the quantum state information processing into distinct functional modules: sampling module for ADC conversion, frequency mixing module for signal modulation, demodulation module for information extraction, and determining module for state classification. This modular segmentation enables parallel processing paths and optimizes each module independently, reducing overall processing delay while maintaining manageable system complexity through structured organization.
Solution Approach 2:
The patent introduces intermediary components including local oscillator signals for frequency mixing, intermediate frequency signals for demodulation, and classification equations as mathematical intermediaries. These intermediaries facilitate efficient signal transformation and state determination, reducing processing time by using standardized intermediate representations rather than direct complex calculations.
2Productivity
If a hardware system is implemented for parsing quantum state information, then real-time performance is achieved, but the device complexity increases
Solution Approach 1:
The patent designs universal modules that can handle multiple quantum state types and signal formats. The frequency mixing module processes various input frequencies, the demodulation module extracts different modulation types, and the determining module classifies multiple quantum states using a unified classification framework. This multi-functionality reduces hardware complexity by avoiding dedicated circuits for each specific function.
Solution Approach 2:
The patent employs adjustable parameters including sampling rates, local oscillator frequencies, filter characteristics, and classification thresholds. These parameters can be dynamically configured to optimize processing speed and accuracy for different quantum computing scenarios, allowing the hardware system to adapt to varying requirements without structural changes, thus maintaining productivity while controlling complexity.
Data Source
AI summary
Disclosed are a quantum state information processing system, a quantum measurement and control system, and a quantum computer. In this system, a sampling module is used to perform sampling processing on an analog signal collected from a qubit, a frequency mixing module is used to perform mixing processing on the sampled signal, a demodulation module is used to perform demodulation processing on a mixed signal, and a determining module is used to perform state classification on a demodulated signal by using a state classification equation, so as to acquire quantum state information.