Backend Quantum Runtime Orchestration for Low-Latency Hybrid Execution
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Solution Overview
Problem
Existing remote quantum computing services exhibit high-latency interactions between classical and quantum computing resources due to their divided architecture, leading to inefficient execution of classical-quantum algorithms.
Innovation Solution
A backend quantum runtime system that integrates classical and quantum computing resources, allowing for low-latency interactions by hosting the classical-quantum computer program in a backend environment, using a runtime container to manage both classical and quantum executions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If classical and quantum computing resources are divided into separate client-side and service-side locations, then quantum computing can be offered as a remote service, but high-latency interactions occur between the resources
Solution Approach 1:
The patent merges classical and quantum computing resources into a unified backend environment. The runtime manager consolidates both resource types in one location, enabling direct low-latency communication while still providing remote access capabilities. This resolves the contradiction by combining resources spatially while maintaining service accessibility.
Solution Approach 2:
The runtime manager acts as an intermediary that receives program code from client devices, instantiates both classical and quantum computing resources, and coordinates their execution. This mediator approach allows clients to access quantum services remotely while the actual resources communicate efficiently through the intermediary, reducing latency.
2Device complexity
If classical computing resources are located on client-side and quantum computing resources are located on service-side, then service architecture is simplified, but execution efficiency of classical-quantum algorithms deteriorates
Solution Approach 1:
The patent segments the system into three distinct components: client devices (for submitting programs), runtime manager (for resource management), and computing resources (classical and quantum). This segmentation allows each component to have optimized functionality - the runtime manager handles resource instantiation and coordination efficiently, while clients focus on algorithm development, improving overall execution efficiency without excessive architectural complexity.
Solution Approach 2:
The runtime manager serves as an intermediary that simplifies the architecture by centralizing resource management functions. It automatically instantiates appropriate classical or quantum resources based on program requirements, coordinates execution flow, and manages communication between resources. This intermediary approach maintains architectural simplicity while enabling efficient classical-quantum algorithm execution through optimized resource orchestration.
3Loss of time
If multiple computing resources are instantiated and managed in a unified backend environment, then interaction latency is reduced, but system complexity increases
Solution Approach 1:
The runtime manager is designed as a universal platform that can instantiate and manage multiple types of computing resources (classical servers, quantum processors) through a unified interface. It performs multiple functions including resource instantiation, program execution coordination, and result aggregation. This multi-functionality reduces the need for separate management systems for each resource type, containing complexity while enabling low-latency interactions.
Solution Approach 2:
The system implements self-service mechanisms where the runtime manager automatically determines which computing resources to instantiate based on program requirements, configures their interconnections, and coordinates execution without external intervention. This automation reduces manual configuration complexity while enabling efficient resource utilization and low-latency communication within the backend environment.
Data Source
AI summary
Systems and techniques that facilitate backend quantum runtimes are provided. In various embodiments, a system can comprise a memory that can store computer-executable components. The system can further comprise a processor that can be operably coupled to the memory and that can execute the computer-executable components stored in the memory. In various embodiments, the computer-executable components can comprise an execution orchestration engine component that can parse a computer program into classical and quantum portions and that can host the computer program by instantiating a classical computing resource. In various embodiments, the computer-executable components can further comprise a classical computation resource that can perform a classical computation on an adaptively scalable classical computing environment, and a quantum computing node that can include a runtime application and a quantum processor, wherein the execution orchestration engine component can orchestrate both classical execution of the computer program and quantum execution of a quantum computation.