Benchmarking hybrid digitized-counterdiabatic quantum optimization

Xu，Ruoqian1; Tang，Jialiang1; Chandarana，Pranav1,2; Paul，Koushik1,2; Xu，Xusheng3; Yung，Manhong4,5,6,7; Chen，Xi1,2

2024

10.1103/PhysRevResearch.6.013147

Physical Review Research   影响因子和分区

2643-1564

Hybrid digitized-counterdiabatic quantum computing (DCQC) is a promising approach for leveraging the capabilities of nearterm quantum computers, utilizing parameterized quantum circuits designed with counterdiabatic protocols. However, the classical aspect of this approach has received limited attention. In this study, we systematically analyze the convergence behavior and solution quality of various classical optimizers when used in conjunction with the digitized-counterdiabatic approach. We demonstrate the effectiveness of this hybrid algorithm by comparing its performance to the traditional QAOA on systems containing up to 28 qubits. Furthermore, we employ principal component analysis to investigate the cost landscape and explore the crucial influence of parametrization on the performance of the counterdiabatic ansatz. Our findings indicate that fewer iterations are required when local cost landscape minima are present, and the SPSA-based BFGS optimizer emerges as a standout choice for the hybrid DCQC paradigm.

ESCI ; EI

英语

其他

2-s2.0-85184849415

Scopus

1.Department of Physical Chemistry,University of the Basque Country UPV/EHU,Bilbao,Apartado 644,48080,Spain
2.EHU Quantum Center,University of the Basque Country UPV/EHU,Leioa,Barrio Sarriena, s/n,48940,Spain
3.Department of Physics,State Key Laboratory of Low-Dimensional Quantum Physics,Tsinghua University,Beijing,100084,China
4.Department of Physics,Southern University of Science and Technology,Shenzhen,518055,China
5.Shenzhen Institute for Quantum Science and Engineering,Southern University of Science and Technology,Shenzhen,518055,China
6.Guangdong Provincial Key Laboratory of Quantum Science and Engineering,Southern University of Science and Technology,Shenzhen,518055,China
7.Shenzhen Key Laboratory of Quantum Science and Engineering,Southern University of Science and Technology,Shenzhen,518055,China

Xu，Ruoqian,Tang，Jialiang,Chandarana，Pranav,et al. Benchmarking hybrid digitized-counterdiabatic quantum optimization[J]. Physical Review Research,2024,6(1).

Xu，Ruoqian.,Tang，Jialiang.,Chandarana，Pranav.,Paul，Koushik.,Xu，Xusheng.,...&Chen，Xi.(2024).Benchmarking hybrid digitized-counterdiabatic quantum optimization.Physical Review Research,6(1).

Xu，Ruoqian,et al."Benchmarking hybrid digitized-counterdiabatic quantum optimization".Physical Review Research 6.1(2024).