circuit ansatz design 1gradient optimization 1Hilbert space navigation 1quantum state preparation 1variational quantum algorithms 1
From the 1 of 3 linked papers with an AI index.
3 papers
quant-ph2026
A Compass on the Quantum State Sphere: The Hopf Ansatz for Arbitrary Pure-State Optimization
Ruge Lin, Guangxi Li
The paper presents the Hopf ansatz, a binary‑tree quantum circuit that both prepares arbitrary pure states and provides an inverse mapping to coordinates, enabling efficient gradie…
quant-ph2025
LCQNN: Linear Combination of Quantum Neural Networks
Hongshun Yao, Xia Liu, Mingrui Jing +2
Quantum neural networks combine quantum computing with advanced data-driven methods, offering promising applications in quantum machine learning. However, the optimal paradigm for…
quant-ph2025
Scalable Quantum Architecture Search via Landscape Analysis
Chenghong Zhu, Xian Wu, Hao-Kai Zhang +3
Balancing trainability and expressibility is a central challenge in variational quantum computing, and quantum architecture search (QAS) plays a pivotal role by automatically desig…