Mode Suppression Structures Placement in Coplanar Waveguides
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Solution Overview
Problem
Conventional methods for placing mode suppression structures (MSS) in coplanar waveguides for quantum devices lack consistency across design, simulation, and prototype phases, leading to inefficiencies in mitigating cross-talk and resonance issues, which are critical for achieving optimal performance in quantum devices.
Innovation Solution
A system comprising a processor and memory that determines optimal locations for MSS on a quantum chip, simulates performance, generates a placement model, and uses an auto-bonder to precisely install MSS at specific coordinates, ensuring consistent placement across design, simulation, and fabrication phases with minimal noise and deviation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual placement methods are used for mode suppression structures, then flexibility in adjustment is maintained, but placement consistency and precision deteriorate across design, simulation, and fabrication phases
Solution Approach 1:
The patent establishes placement rules and constraints during the design phase that pre-determine MSS locations. These rules are then automatically applied in fabrication, eliminating the need for manual repositioning and ensuring consistency across all phases. The assessment component evaluates potential locations based on pre-defined criteria before final placement decisions are made.
Solution Approach 2:
The system uses automated assessment and simulation components that independently evaluate and determine optimal MSS placements without requiring manual intervention. The placement rules automatically guide the fabrication process, allowing the system to self-correct and self-optimize placements based on simulated performance feedback.
2Reliability
If multiple physical prototypes are built iteratively, then performance optimization is achieved, but development time and cost increase
Solution Approach 1:
The patent creates a virtual simulation model that replicates the physical quantum chip's electromagnetic behavior. This digital twin allows performance evaluation, cross-talk analysis, and resonance frequency assessment to be conducted in silico before any physical fabrication occurs, eliminating the need for iterative physical prototyping while maintaining optimization capability.
Solution Approach 2:
Performance simulation and assessment are conducted in advance during the design phase, allowing optimization decisions to be made before fabrication. The system predicts cross-talk and resonance issues virtually and adjusts MSS placements accordingly, so that the first physical prototype built already incorporates optimized placements, avoiding iterative rework.
3Productivity
If mode suppression structures are placed without coordinated assessment, then placement speed is maintained, but cross-talk and resonance mitigation effectiveness deteriorates
Solution Approach 1:
The system incorporates simulation feedback that evaluates the impact of MSS placements on cross-talk and resonance frequencies. The assessment component analyzes simulated performance data and adjusts placement decisions accordingly, creating a closed-loop optimization process that ensures effective cross-talk mitigation while maintaining efficient automated placement.
Solution Approach 2:
The patent replaces manual trial-and-error placement methods with an automated computational system that uses electromagnetic simulation and assessment algorithms. This substitution enables rapid evaluation of multiple placement scenarios and automatic selection of optimal configurations that effectively suppress cross-talk and resonance, achieving both efficiency and effectiveness.
Data Source
AI summary
A system includes a memory that stores computer executable components, and a processor executes the computer executable components stored in the memory. The computer executable components comprise: an assessment component that determines locations for mode suppression structures on a coplanar waveguide of a quantum chip having qubits; a simulation component that simulates performance of the quantum chip based on a subset of the locations for the mode suppression structures and parameters of the quantum chip, and generates a mode suppression structures placement model. A template component generates a template of specific coordinates for placement of a subset of the mode suppression structures on the quantum chip based on the mode suppression structures placement model; and a driver component employs the template to drive an auto-bonder to install the subset of the mode suppression structures on the quantum chip at the specific coordinates.