Pulse Pattern Detection Using Phase-Shifted Time Windows
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current pulse pattern detection systems in quantum measurement apparatuses face challenges in scalability, real-time processing, and cost-effectiveness, particularly in high-frequency applications like quantum communication and computing, where they need to handle multiple detector signals simultaneously and adapt to different measurement protocols.
Innovation Solution
A method and system that utilize a pulse pattern detector to generate digital signals from analog detector signals by applying phase shifts and delays, reducing pulse width, and using D flipflops for time-filtering, allowing for scalable and flexible detection of pulse patterns that can be interfaced with FPGA-based analysis systems for real-time processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If FPGA-based time-to-digital converters are used for pulse pattern detection, then measurement precision and real-time processing capability are improved, but device complexity and cost increase substantially
Solution Approach 1:
The detection system is segmented into multiple independent time window detectors, each responsible for detecting pulses within a specific temporal window. This segmentation allows parallel processing of different time bins without requiring a single complex FPGA resource, thereby maintaining measurement precision while reducing overall device complexity and cost.
Solution Approach 2:
The patent employs periodic clock signals to define multiple time windows for pulse detection. By using periodic action, the system can systematically sample and detect pulses across different temporal positions, achieving comprehensive detection pattern recognition through simple, repetitive timing cycles rather than complex continuous processing.
2Adaptability or versatility
If the number of detectors is increased to handle multiple detector signals simultaneously, then adaptability to different measurement protocols is improved, but device complexity and resource requirements increase
Solution Approach 1:
Each time window detector is designed as a universal module that can detect pulses from any detector within its assigned time window. The system achieves multi-functionality by configuring different combinations of time windows and detectors to match various measurement protocols, allowing a single standardized architecture to adapt to diverse quantum communication and computing applications without increasing complexity.
Solution Approach 2:
The system dynamically configures detection patterns by selectively activating specific time windows and detector combinations based on the required measurement protocol. This dynamic adaptability allows the system to handle different measurement requirements using the same hardware infrastructure, improving versatility while maintaining manageable device complexity through software or control logic configuration rather than hardware proliferation.
3Productivity
If high-frequency operation is implemented to increase throughput, then productivity is improved, but the requirement for precise timing and phase synchronization increases
Solution Approach 1:
The system uses periodic clock signals with well-defined frequencies to establish regular time windows for pulse detection. This periodic structure provides inherent timing references that simplify synchronization at high frequencies, as the repetitive nature of the clock cycles creates predictable, easily maintainable timing relationships between multiple detectors and processing elements, enabling high throughput without excessive timing precision requirements.
Solution Approach 2:
Time windows are pre-defined and pre-synchronized based on expected pulse arrival times before actual detection occurs. By establishing the timing framework in advance through preliminary clock cycle configuration, the system can operate at high frequencies with reduced real-time synchronization complexity, as the timing structure is predetermined rather than dynamically negotiated during high-speed operation.
Data Source
Figure 1A~1B
Figure 2
Figure 3
AI summary
A method of determining a detection pattern signal is described wherein the method comprises: receiving a base clock signal and an analog detector signal at a clock cycle of the clock signal, wherein the analog detector signal may comprise one or more detector pulses of a predetermined pulse width at one or more temporal positions respectively, the one or more temporal positions being defined relative to the rising edge of the base clock signal; determining a first clock signal based on the base clock signal, the determining including copying the base clock signal and applying a first phase shift to the copied base clock signal so that the rising edge of first clock signal is at a first temporal position relative to the rising edge of the base clock signal; determining a first pulse signal based on the analog detector signal, the first pulse signal having a pulse width that is substantially smaller than the pulse width of the one or more detector pulses; and, determining a digital detector pattern signal, the determining including determining a first digital signal based on the first pulse signal and the first clock signal, the first digital signal being indicative whether the analog detector signal comprises a first detection pulse at the first temporal position as indicated by the rising edge of the first clock signal.