Two Variations of Quantum Phase Estimation for Reducing Circuit Error Rates: Application to the Harrow--Hassidim--Lloyd Algorithm
Yonghae Lee, Minjin Choi, Youngho Min, Eunok Bae, Sunghyun Bae
TL;DR
The paper tackles the practical challenge of circuit error in QPE-driven quantum algorithms by introducing two variations, QSPE and QPPE, which respectively shift and puncture phase-estimation qubits based on available phase information. These techniques are integrated into a hybrid quantum–classical HHL framework, yielding significantly reduced qubit counts and gate depths while maintaining correct eigenvalue processing. Hardware experiments on IBM superconducting devices corroborate reduced error rates and closer alignment to ideal solutions for the hybrid approach (Hybrid25) compared to prior methods (Hybrid19). The work provides a generalizable strategy for mitigating circuit errors in QPE-based workflows and lays groundwork for extending these ideas to related spectral and SVD-based quantum algorithms.
Abstract
We introduce two variations of the quantum phase estimation algorithm: quantum shifted phase estimation and quantum punctured phase estimation. The shifted method employs a bit-string left shift to discard the most significant bit and focus on lower-order phase components, and the punctured method removes qubits corresponding to known phase bits, thereby streamlining the circuit. To demonstrate the effectiveness of the two variations, we integrate them into a hybrid quantum-classical implementation of the Harrow--Hassidim--Lloyd algorithm for solving linear systems. The hybrid method leverages both quantum and classical processors to identify and remove unnecessary qubits and gates. As a result, our method reduces qubit and gate counts compared to previous implementations, leading to lower overall circuit error rates on current hardware. Experimental demonstrations on IBM superconducting hardware confirm the error-mitigation effectiveness of the proposed hybrid method.
