MACHINE LEARNING FOR SYNCHRONIZATION OF MULTIPLE FPGA PORTS IN A QUANTUM SYSTEM
DE602023004003T2Active Publication Date: 2025-06-18Q M TECH LTD
View PDF 0 Cites 0 Cited by
Patent Information
- Application Number
- DE602023004003
- Authority / Receiving Office
- DE · DE
- Patent Type
- Patents
- Current Assignee / Owner
- Priority Date
- 2022-01-24
- Filing Date
- 2023-01-24
- Publication Date
- 2025-06-18
- Estimated Expiration
- 2043-01-24
AI Technical Summary
Technical Problem
Existing methods for syncing multiple FPGA ports in quantum systems are inefficient and require repetitive calibrations, which can lead to delays and impair the reliability of quantum computers.
Method used
A machine learning approach is used to sync multiple FPGA ports by training a model to determine the optimal delay settings for each port, eliminating the need for external storage and repetitive calibrations.
Benefits of technology
This solution enables fast, robust, and independent synchronization of FPGA ports, improving the efficiency and reliability of quantum computers by minimizing dead time between programs.
✦ Generated by Eureka AI based on patent content.
Need to check novelty before this filing date? Find Prior Art
No text content released.