QISAP : Quantum Instruction Set Analytics Platform
收藏NIAID Data Ecosystem2026-05-02 收录
下载链接:
https://doi.org/10.7910/DVN/QMYLWC
下载链接
链接失效反馈官方服务:
资源简介:
The current landscape of quantum computing is dominated by the Noisy Intermediate-Scale Quantum (NISQ) era, where hardware limitations necessitate highly optimized quantum circuits to maximize computational fidelity. This research presents a comparative analysis of three prominent quantum compilers—Qiskit, Cirq, and PyQuil—evaluating their performance on the Greenberger-Horne-Zeilinger (GHZ) state generation circuit. The study focuses on key performance metrics including circuit depth, CX gate count, and total gate count for 3, 4, and 5-qubit GHZ states compiled for Rigetti’s Aspen-M quantum processor. While all compilers produced functionally equivalent circuits for this benchmark, significant differences in compilation strategies and overhead were observed. The findings highlight the critical trade-offs between compilation time and circuit optimization, and underscore the importance of hardwareaware compilation in the NISQ era. Index Terms of File (Research Paper) Quantum computing, quantum compilation, NISQ devices, GHZ state, compiler performance, Qiskit, Cirq, PyQuil
创建时间:
2025-09-03



