Quantum Resource Partition Switching for Faster System Bring-Up
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Solution Overview
Problem
The initialization and calibration of large-scale quantum systems with hundreds, thousands, or even billions of qubits is a time-intensive, labor-intensive, and power-intensive process, lacking efficient frameworks for dynamic reconfiguration and parallelization of quantum system resources.
Innovation Solution
A system and method for partitioning quantum system resources using mapping and unmapping operations, allowing for dynamic reconfiguration and parallel execution of quantum jobs, with partition definitions generated by a quantum resource partitioning system to manage qubit controllers and control electronics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If quantum system resources are managed as a unified whole, then system coherence is maintained, but initialization and calibration time increases significantly
Solution Approach 1:
The patent divides the quantum system into multiple independent partitions, each with its own resource pool. This segmentation allows parallel initialization and calibration of different partitions, significantly reducing the overall bring-up time while maintaining system functionality through coordinated resource management across partitions.
2Adaptability or versatility
If quantum system resources are dynamically reconfigured, then job execution flexibility improves, but system stability and coherence deteriorate
Solution Approach 1:
The patent implements dynamic resource allocation within each partition, allowing controllers to be reassigned between partitions based on job requirements. This dynamic reconfiguration enables flexible job execution while maintaining system coherence through controlled transition protocols and consistent resource management rules across all partitions.
Solution Approach 2:
Controllers are designed as universal resources that can serve multiple qubits across different partitions. This multi-functionality allows a single controller to be dynamically allocated to different partitions as needed, improving job execution flexibility while maintaining system stability through standardized interface protocols.
3Productivity
If parallel execution of quantum jobs is enabled through partitioning, then productivity increases, but resource allocation complexity increases
Solution Approach 1:
By segmenting the quantum system into independent partitions with dedicated resource pools, the patent enables parallel job execution across partitions. This segmentation simplifies resource allocation within each partition while achieving high overall productivity through coordinated parallel operation of multiple partitions.
Data Source
AI summary
A system comprises a memory that stores and a processor that executes computer executable components stored in the memory, wherein the computer executable components comprise an identification component that identifies a target partition definition for a quantum processor comprising a plurality of qubits, and a mapping component that directs a controller of a quantum system, comprising the quantum processor, to apply the target partition definition to control electronics at the quantum system for subsequent of an operation at the quantum processor, wherein the target partition definition corresponds to a quantum system resource, of the quantum system, associated with a target qubit of the plurality of qubits.