QUANT-PHJun 18, 2025
Compilation, Optimization, Error Mitigation, and Machine Learning in Quantum AlgorithmsShuangbao Paul Wang, Jianzhou Mao, Eric Sakk
This paper discusses the compilation, optimization, and error mitigation of quantum algorithms, essential steps to execute real-world quantum algorithms. Quantum algorithms running on a hybrid platform with QPU and CPU/GPU take advantage of existing high-performance computing power with quantum-enabled exponential speedups. The proposed approximate quantum Fourier transform (AQFT) for quantum algorithm optimization improves the circuit execution on top of an exponential speed-ups the quantum Fourier transform has provided.