Quantum Computing Cloud Service Standardizing APIs
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Solution Overview
Problem
The accessibility and marketability of quantum computing are limited due to the requirement of significant technical expertise for implementing and utilizing non-standardized quantum computing hardware and APIs, making it difficult for general users to access and use quantum computing services.
Innovation Solution
A cloud-based method that provides a standard resource description and API to clients, allowing them to select and execute quantum computing hardware based on resource-related information, converting standard quantum computing code into executable code, and optimizing it for execution on selected hardware, thereby facilitating access to quantum computing environments for non-experts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If quantum computing hardware and APIs are used directly, then computing power and functionality are provided, but technical expertise requirements increase and accessibility decreases
Solution Approach 1:
The patent introduces a cloud-based quantum computing service platform that acts as an intermediary between users and quantum computing hardware. This platform provides standardized APIs and abstracts the complexity of quantum hardware operations, allowing users to access quantum computing resources without needing deep technical expertise in quantum mechanics or hardware implementation details.
Solution Approach 2:
The patent creates a universal quantum computing service platform that can serve multiple types of users (researchers, developers, enterprises) and multiple quantum hardware platforms through a common standardized interface. This multi-functional approach allows the same API layer to support different quantum processors, algorithms, and application scenarios, thereby improving accessibility while maintaining versatility.
2Ease of operation
If standardized APIs are provided, then ease of operation improves, but device complexity increases due to the need for code conversion and hardware selection systems
Solution Approach 1:
The patent implements automated systems within the cloud platform that perform hardware selection, code compilation, and optimization without requiring manual intervention from users. The system automatically matches user requests with appropriate quantum hardware resources, compiles high-level quantum code into hardware-specific instructions, and optimizes execution parameters, thereby maintaining ease of operation while managing the necessary system complexity through automation.
3Adaptability or versatility
If multiple quantum hardware platforms are supported, then adaptability improves, but difficulty of detecting and measuring increases
Solution Approach 1:
The patent implements a feedback mechanism where the cloud platform continuously monitors and evaluates the performance, availability, and status of multiple quantum hardware platforms. Based on this feedback, the system automatically selects the most appropriate hardware for each user request, considering factors such as computational requirements, hardware availability, and performance metrics. This automated feedback-driven selection process manages the complexity of supporting multiple hardware platforms while maintaining high adaptability.
Data Source
AI summary
A method for serving cloud of quantum computing according to an embodiment may include receiving a request to perform quantum computing from a client and providing a standard resource description to the client, receiving, from the client, resource-related information corresponding to the standard resource description, providing a standard application program interface (API) to the client, and receiving, from the client, standard quantum computing code created through the standard API, selecting quantum computing hardware, which is to execute the standard quantum computing code, among a plurality of quantum computing hardware, based on one or more among the resource-related information and the standard quantum computing code, converting the standard quantum computing code into quantum computing code executable on the selected quantum computing hardware, and executing the converted quantum computing code using the selected quantum computing hardware.