Quantum Circuit Determination via Iterative Pool Sampling
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Solution Overview
Problem
Existing methods for constructing quantum circuits are plagued by high complexity, low efficiency, and poor versatility, particularly when dealing with different quantum computing tasks.
Innovation Solution
The proposed method involves sampling an initial circuit unit pool to generate candidate quantum circuits, determining a performance evaluation index, and iteratively updating the sampling manner and circuit units to optimize the quantum circuit design.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If existing methods are used to construct quantum circuits, then quantum computing tasks can be completed, but the complexity is high and efficiency is low
Solution Approach 1:
The patent implements feedback mechanisms by evaluating the performance of constructed quantum circuits and using this evaluation information to guide subsequent circuit construction. The system continuously refines the quantum circuit design based on performance feedback, thereby improving efficiency while managing complexity through iterative optimization rather than exhaustive search.
Solution Approach 2:
The patent employs parameter changes by adjusting key parameters such as the number of circuit layers, gate types, and connectivity patterns during the quantum circuit construction process. By systematically varying these parameters and evaluating their impact on circuit performance, the method achieves better efficiency without requiring excessively complex construction procedures.
2Adaptability or versatility
If existing methods are used to construct quantum circuits, then specific quantum computing tasks can be completed, but versatility is poor
Solution Approach 1:
The patent achieves universality by designing a quantum circuit construction framework that can handle multiple types of quantum computing tasks through a unified approach. The method uses generalizable components and strategies that can be adapted to different quantum algorithms and applications, thereby improving versatility without sacrificing construction efficiency through standardized yet flexible circuit building blocks.
3Manufacturing precision
If the circuit unit pool is updated iteratively, then the quantum circuit design becomes more optimized, but the computational workload increases
Solution Approach 1:
The patent applies partial action by performing iterative updates of the circuit unit pool only to the extent necessary to achieve satisfactory optimization. Rather than exhaustively exploring all possible circuit configurations, the method performs a limited number of targeted updates that provide sufficient optimization while keeping computational workload manageable through selective refinement.
Data Source
AI summary
This disclosure discloses a method and apparatus for determining a quantum circuit. The method may include sampling an initial circuit unit pool according to an initial sampling manner to obtain initial K groups of circuit units and constructing and generating initial K candidate quantum circuits. The method may further include determining a performance evaluation index corresponding to the initial K candidate quantum circuits and updating the initial sampling manner and a circuit unit in the initial circuit unit pool based on the performance evaluation index, to obtain an updated sampling manner and an updated circuit unit pool. The method may further include sampling the updated circuit unit pool according to the updated sampling manner to obtain updated K groups of circuit units and constructing and generating updated K candidate quantum circuits. The method may further include determining a target quantum circuit from the updated K candidate quantum circuits.