Qubit Pair Prioritization for Low-Error Ancilla State Generation
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Solution Overview
Problem
The STAR architecture, which uses phase rotation gates to reduce the number of physical qubits, faces incomplete error correction, necessitating a method to minimize errors in these gates to ensure accurate quantum computation.
Innovation Solution
A method is implemented to determine the order of priority for qubit pairs based on error rates and generate optimal qubit group arrangements for parallel execution of ancilla state generation circuits, using gate teleportation to minimize errors in phase rotation gates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the STAR architecture uses phase rotation gates to reduce the number of physical qubits, then the number of physical qubits is reduced, but error correction becomes incomplete and error rates increase
Solution Approach 1:
The patent performs preliminary characterization of qubit pair error rates before executing the quantum circuit. The classical computer determines accuracy information for each qubit pair in advance, then uses this information to selectively apply error mitigation techniques to specific qubit pairs that will undergo two-qubit gate operations, rather than applying uniform error correction to all qubits.
Solution Approach 2:
The patent applies different error mitigation strategies to different qubit pairs based on their individual accuracy characteristics. High-accuracy qubit pairs are processed differently from low-accuracy qubit pairs, with the system selectively applying error mitigation techniques only where needed based on the measured error rates of specific qubit pairs.
2Measurement precision
If error mitigation techniques are applied to phase rotation gates, then computation accuracy is improved, but computation time and resource usage increase
Solution Approach 1:
The patent applies error mitigation techniques selectively only to specific qubit pairs that exhibit low accuracy in two-qubit gate operations, rather than applying uniform error correction to all qubits. This localized approach reduces the overall computational overhead while maintaining accuracy for the critical error-prone operations.
Solution Approach 2:
The patent changes the approach from uniform error correction to parameter-based selective error mitigation. The classical computer adjusts the error mitigation strategy based on the measured accuracy parameters of each qubit pair, applying techniques only when the error rate exceeds certain thresholds, thereby optimizing the balance between accuracy and computation time.
Data Source
AI summary
An information processing apparatus determines an order of priority for each of a plurality of qubit pairs, which are used in a gate operation of a two-qubit rotation gate in an ancilla state generation circuit. The information processing apparatus generates a plurality of arrangement candidates each indicating a candidate of positions of a plurality of qubit groups in a qubit device, the qubit groups being used in parallel execution of the ancilla state generation circuit. The information processing apparatus selects one arrangement candidate, based on the orders determined for first qubit pairs to be used in the gate operation of the two-qubit rotation gate in the qubit groups at the position indicated by each arrangement candidate. The information processing apparatus determines to cause the ancilla state generation circuit to execute in parallel using a first plurality of qubit groups at the positions indicated by the selected arrangement candidate.