Quantum Computing Element Design Using Shuttling Lanes
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Solution Overview
Problem
Existing quantum computing concepts face challenges in achieving universal quantum computing due to the requirement of a large number of logical qubits with error correction, which is difficult or impossible to achieve with current technology.
Innovation Solution
A method for designing a quantum computing element specifically configured for performing a given quantum algorithm, using a network of shuttling lanes with building blocks, where a mathematical model is created for each building block and used to improve the design of the quantum computing element.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a universal quantum computer is designed with error correction, then computing reliability is improved, but the number of required logical qubits increases to at least 10^4, making the device complexity unachievable with current technology
Solution Approach 1:
The patent segments the quantum computing task by dividing it into distinct phases: quantum acceleration phase (using quantum circuits for specific computations) and classical processing phase (using conventional computers for other tasks). This segmentation allows the system to achieve reliable quantum computing for specific algorithms without requiring a full-scale universal quantum computer with 10^4 qubits, thereby resolving the contradiction between reliability and device complexity.
Solution Approach 2:
The patent creates a hybrid computing system that combines quantum computing elements with classical computing infrastructure. The quantum computing element can be applied to multiple different quantum algorithms across various application domains (chemistry, finance, machine learning), providing universality at the algorithm level rather than requiring a universal quantum hardware platform with extensive error correction.
2Productivity
If quantum computing hardware is designed for specific quantum algorithms, then productivity for those algorithms is improved, but the adaptability to perform different quantum algorithms decreases
Solution Approach 1:
The patent applies local quality by optimizing the quantum computing element's architecture for specific algorithmic patterns rather than attempting universal optimization. The shuttling lane network and building blocks are configured to efficiently handle particular quantum circuit structures, achieving high productivity for targeted algorithms while maintaining the ability to adapt to different algorithms through software-level reconfiguration rather than hardware changes.
Data Source
AI summary
Method for designing a quantum computing element (1) for performing a quantum algorithm, wherein the quantum computing element (1) is configured to be operated with a plurality of spin qubits (9) and has a plurality of shuttling lanes (4) with a plurality of building blocks (13), and wherein the method comprises:a) providing a respective mathematical model for each of the building blocks (13),b) providing an initial design of the quantum computing element (1),c) creating a mathematical model of the initial design by combining the mathematical models of the building blocks (13) according to the initial design,d) obtaining an improved design of the quantum computing element (1) using the mathematical model of the initial design created in step c) and taking account of the quantum algorithm to be performed with the quantum computing element (1).