[23p-22B-1~13] FS.1 Focused Session "AI Electronics"

2:15 PM - 2:30 PM JST(5:15 AM - 5:30 AM UTC)English Presentation

[23p-22B-5] Entanglement-variational Hardware-efficient Ansatz in Sequential-ADAPT-VQE

〇Shanchuan Li¹, Daisuke Tsukayama¹, Jun-ichi Shirakashi¹, Hiroshi Imai² (1.Tokyo Univ. Agr. & Tech., 2.Univ. Tokyo)

Keywords:

Gate-Based Quantum Computer,Quantum-Classical Hybrid Algorithm,Variantional Quantum Eigensolver

In the burgeoning field of quantum technologies, gate-based quantum computers, particularly Noisy Intermediate-Scale Quantum (NISQ) devices, have emerged as frontrunners in tackling complex computational problems. However, these devices grapple with significant limitations due to the absence of robust quantum error correction mechanisms, impacting computational accuracy and reliability. Amidst these challenges, hybrid quantum-classical algorithms, especially the Variational Quantum Eigensolver (VQE), have gained prominence for their potential in quantum chemistry and beyond. This research aims to transcend existing barriers by integrating the Entanglement-variational Hardware-efficient Ansatz (EHA) with Sequential-ADAPT-VQE, enhancing computational efficiency and precision.