Quantum Chip Wiring With Virtual Pins for Crosstalk Control
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Solution Overview
Problem
The exponential growth of qubits in quantum chips leads to inefficient and complex wiring issues, particularly in two-dimensional structures, resulting in narrow spacing between connecting lines and signal crosstalk, which traditional automatic wiring methods fail to address effectively.
Innovation Solution
A wiring method utilizing a Monte Carlo tree model and reinforcement learning to determine optimal wiring paths, ensuring a minimum distance between connecting lines and incorporating virtual pins to manage signal crosstalk, combined with A* algorithm for simpler scenarios, to achieve efficient and accurate automated wiring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If traditional automatic wiring method using greedy algorithm is used, then wiring path selection is simple, but spacing between connecting lines becomes too narrow leading to signal crosstalk
Solution Approach 1:
The patent performs preliminary actions by first determining virtual pins and calculating optimal wiring paths using Monte Carlo tree search before actual wiring implementation. This advance planning ensures adequate spacing between connecting lines is maintained, preventing signal crosstalk while still achieving efficient wiring layout.
Solution Approach 2:
The patent introduces virtual pins as intermediary elements between qubits and external pins. These virtual pins serve as intermediate connection points that enable the wiring system to maintain proper spacing between connecting lines while still achieving functional connectivity, thus preventing signal crosstalk.
2Manufacturing precision
If manual wiring is used, then wiring accuracy can be controlled, but wiring efficiency cannot meet the requirements of exponential qubit growth
Solution Approach 1:
The patent implements self-service through automated wiring systems that use Monte Carlo tree search algorithms to independently determine optimal wiring paths. The system automatically handles the complex wiring tasks without manual intervention, maintaining high precision while achieving the scalability needed for exponential qubit growth.
Solution Approach 2:
The patent applies parameter changes by using Monte Carlo tree search to dynamically optimize wiring path parameters such as spacing between connecting lines and path selection criteria. This allows the automated system to achieve manufacturing precision comparable to manual wiring while dramatically improving productivity through algorithmic optimization.
3Productivity
If existing automatic wiring method is used for two-dimensional quantum chip structure, then wiring process is fast, but spacing between connecting lines is too narrow causing signal crosstalk
Solution Approach 1:
The patent performs preliminary calculation of optimal wiring paths using Monte Carlo tree search before actual wiring implementation. This advance planning ensures that spacing between connecting lines is adequately maintained, preventing signal crosstalk while preserving the speed benefits of automated wiring systems.
Solution Approach 2:
The patent incorporates feedback mechanisms where the Monte Carlo tree search algorithm evaluates multiple potential wiring paths and selects those that maintain adequate spacing between connecting lines. This feedback-driven approach ensures signal crosstalk prevention while maintaining high wiring productivity through automated selection of optimal paths.
Data Source
AI summary
The application discloses a wiring method, device and equipment for a quantum chip and a computer-readable storage medium, and relates to the technical field of quantum chips. A Monte Carlo tree model is used to calculate an optimal wiring path between an initial interface and a corresponding first virtual pin. Since the Monte Carlo tree model can conduct mathematical model training and self-learning according to the wiring result obtained after wiring in the past, the optimal wiring result on the overall level is obtained, efficient, accurate and automatic wiring of the two-dimensional quantum chip is achieved, and the wiring efficiency of the quantum chip is improved to the maximum extent. Through the arrangement of the first virtual pin, the control line in the qubit is connected with the external pin of the quantum chip through the initial interface and the first virtual pin.