4 papers
Achieving High-Quality Portfolio Optimization with the Variational Quantum Eigensolver
Zhonggang Lv, Zhenyuan Ma, Binglei Wang +1
Portfolio optimization lies at the core of quantitative finance and aims to determine how assets should be allocated to balance expected returns against risk. It can be formulated…
Surrogate Modeling via Factorization Machine and Ising Model with Enhanced Higher-Order Interaction Learning
Anbang Wang, Dunbo Cai, Yu Zhang +3
Recently, a surrogate model was proposed that employs a factorization machine to approximate the underlying input-output mapping of the original system, with quantum annealing used…
Benchmarking the Impact of Active Space Selection on the VQE Pipeline for Quantum Drug Discovery
Zhi Yin, Xiaoran Li, Zhupeng Han +6
Quantum computers promise scalable treatments of electronic structure, yet applying variational quantum eigensolvers (VQE) on realistic drug-like molecules remains constrained by t…
Experimental realization of the bucket-brigade quantum random access memory
Fanhao Shen, Yujie Ji, Debin Xiang +20
Quantum random access memory (QRAM) enables efficient classical data access for quantum computers -- a prerequisite for many quantum algorithms to achieve quantum speedup. Despite…