Quantum Circuit Mapping Preserving Fault Tolerance
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Quantum circuit mapping for quantum computers with semiconductor-based hardware faces challenges due to spatial locality constraints, leading to loss of fault-tolerant characteristics during the mapping process, which affects the reliability and performance of quantum algorithms.
Innovation Solution
A computing device and method that generate fault-tolerant quantum circuits by using a heuristic-based quantum circuit mapping algorithm, which performs multiple traverses and selects optimal quantum circuits and qubit mappings based on fault-tolerant constraints, maintaining the fault-tolerant characteristics of the quantum algorithm.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If quantum circuit mapping is performed on semiconductor-based quantum computers with spatial locality constraints, then the quantum circuit can be executed on the hardware, but the fault-tolerant characteristics are lost
Solution Approach 1:
The patent applies preliminary action by performing multiple forward and backward traverses of the quantum circuit before final mapping. During these traverses, the algorithm pre-identifies and records the active states of data qubits, determining which qubits need to interact with ancilla qubits for error correction. This preliminary analysis enables the subsequent mapping step to preserve fault-tolerant characteristics by ensuring proper qubit placement and interaction timing, thus resolving the contradiction between hardware compatibility and fault tolerance.
2Reliability
If multiple quantum circuits are generated with different random initial qubit mappings, then the optimal mapping can be selected, but the computational complexity increases
Solution Approach 1:
The patent applies local quality by focusing the computational effort on specific critical regions of the quantum circuit rather than uniformly processing all qubits. During the forward and backward traverses, the algorithm identifies local patterns of qubit activation and interaction, particularly focusing on which data qubits become active and require error correction. This localized analysis approach enables efficient optimization across multiple mappings without requiring exhaustive computation of all possible qubit arrangements, thus resolving the contradiction between mapping optimization and computational complexity.
Data Source
AI summary
Disclosed is an operating method of a computing device. The operating method of a computing device includes generating quantum mapping basis information based on a fault-tolerant constraint, generating quantum circuits and initial qubit mappings by performing a quantum circuit mapping as much as the number of times based on the fault-tolerant constraint, the quantum mapping basis information, and different random initial qubit mappings, and selecting one quantum circuit and one initial qubit mapping from among the quantum circuits and the initial qubit mappings, respectively.


