Quantum Chip Qubit Assignment for Parallel Task Execution
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Solution Overview
Problem
During quantum computing, signal crosstalk between physical qubit regions assigned to execute multiple quantum computing tasks leads to inaccurate results, making parallel computing of multiple tasks on a single quantum chip challenging.
Innovation Solution
A method and apparatus that determine non-interfering physical qubits based on the current topological structure of the quantum chip and the tasks' requirements, allowing for the assignment of these qubits to execute quantum computing tasks without interference, enabling asynchronous parallelism.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple quantum computing tasks are executed in parallel on a same quantum chip, then computing efficiency is improved, but signal crosstalk between physical qubit regions occurs leading to inaccurate computing results
Solution Approach 1:
The quantum chip is segmented into multiple isolated physical qubit regions, each capable of independently executing quantum computing tasks. By dividing the chip into separate functional zones with distinct qubit groups, the system enables parallel task execution while maintaining isolation between tasks to prevent signal crosstalk.
Solution Approach 2:
A quantum computing task scheduling system acts as an intermediary between task submission and physical qubit allocation. This scheduling system analyzes task requirements, identifies suitable isolated physical qubit regions, and assigns tasks to appropriate regions, ensuring that parallel tasks are placed in non-interfering zones while maximizing resource utilization.
2Productivity
If physical qubits are assigned to execute multiple quantum computing tasks simultaneously, then task throughput is improved, but interference between physical qubits occurs
Solution Approach 1:
Different physical qubit regions on the quantum chip are assigned distinct local qualities or characteristics, such as varying connectivity patterns, isolation levels, or operational parameters. This allows the system to optimize each region for specific task types while maintaining isolation, enabling parallel execution without interference.
Solution Approach 2:
The quantum computing task scheduling system dynamically allocates and reconfigures physical qubit assignments based on current task requirements and chip state. This dynamic approach allows the system to adaptively manage qubit resources, assigning tasks to regions that minimize interference while maximizing throughput.
Data Source
AI summary
A quantum computing task execution method and apparatus, and a quantum computer operating system are applied to a first electronic device including a quantum chip. First physical qubits in the quantum chip are assigned to execute a first quantum computing task. The method includes: acquiring a current topological structure of the quantum chip; acquiring a second quantum computing task in a task queue; determining second physical qubits based on the current topological structure and the second quantum computing task, wherein the second physical qubits and the first physical qubits do not interfere with each other; and assigning the second physical qubits to execute the second quantum computing task. According to some embodiments of the present disclosure, parallel computing of a plurality of quantum computing tasks can be realized during quantum computing.