Quantum Computing Service Edge Execution Hybrid Algorithms
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Solution Overview
Problem
Quantum computing users face challenges in accessing and utilizing various quantum computing technologies due to the complexity and cost of building and maintaining quantum computers, as well as the need for significant expertise to solve practical problems, which can be hindered by the uncertainty of which technology will gain prominence.
Innovation Solution
A quantum computing service that provides seamless access to multiple quantum computing technologies, allowing customers to define and execute quantum tasks, algorithms, or circuits without requiring specific knowledge of the underlying technologies, by selecting the most suitable hardware provider based on recommendations and translating quantum objects into appropriate formats for execution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If users directly access and utilize quantum computing technologies, then execution capability and performance are improved, but device complexity and operational difficulty increase significantly
Solution Approach 1:
The patent introduces a quantum computing service as an intermediary layer between users and quantum hardware. This service abstracts the complexity of multiple quantum technologies (superconducting qubits, trapped ions, photonic systems, etc.) and provides a unified interface for users to execute quantum algorithms without needing to understand underlying hardware differences.
Solution Approach 2:
The quantum computing service implements a universal interface that works across multiple quantum computing platforms. Users can submit quantum algorithms through a single interface, and the service automatically translates and executes them on appropriate quantum hardware, making the system universally applicable to different quantum technologies.
2Ease of operation
If users build and maintain their own quantum computers, then execution control and customization are improved, but cost and resource requirements increase significantly
Solution Approach 1:
The quantum computing service enables users to access quantum computing capabilities on-demand without needing to invest in expensive quantum hardware infrastructure. Users can control execution parameters, select algorithms, and manage their quantum computing tasks through a web-based interface, while the service provider handles all hardware maintenance and resource management.
Solution Approach 2:
The service acts as a mediator that provides execution control to users while absorbing the resource burden of hardware maintenance. Users retain control over algorithm selection and execution parameters, while the service provider manages the complex quantum hardware infrastructure.
3Productivity
If users gain deep technical expertise in quantum computing, then problem-solving capability is improved, but time and training requirements increase significantly
Solution Approach 1:
The quantum computing service provides an intermediary layer that translates high-level problem descriptions into quantum algorithms automatically. Users can define problems in terms of their application domain (optimization, machine learning, cryptography) without needing to learn quantum computing fundamentals, as the service handles the algorithmic translation.
Solution Approach 2:
The service extracts and handles the complex quantum algorithm design and optimization tasks from the user's workflow. Users only need to specify their problem parameters and objectives, while the service extracts the appropriate quantum algorithm, optimizes it for the target hardware, and manages execution.
4Productivity
If users select specific quantum hardware providers, then execution optimization is improved, but adaptability to emerging technologies decreases
Solution Approach 1:
The quantum computing service implements a universal architecture that can execute quantum algorithms on multiple types of quantum hardware (superconducting, ion trap, photonic, etc.). The service includes translation layers that adapt algorithms to different hardware architectures, allowing users to benefit from execution optimization without being locked into a single technology platform.
Solution Approach 2:
The service dynamically selects and adapts to the most appropriate quantum hardware provider based on the specific algorithm, current hardware availability, and performance characteristics. This dynamic adaptation allows the system to optimize execution for each task while maintaining flexibility to incorporate emerging quantum technologies as they become available.
Data Source
AI summary
A quantum computing service includes connections to one or more quantum hardware providers that are configured to execute quantum circuits using quantum computers based on one or more quantum technologies. The quantum computing service also includes at least one edge computing device located adjacent to a quantum computer at one of the quantum hardware provider facilities. The edge computing device is configured to execute classical computing portions of a hybrid algorithm in coordination with the quantum computer, which executes quantum computing portions of the hybrid algorithm. Results of the execution of the hybrid algorithm are automatically stored to a data storage service accessible to the customer.