4 papers
Barren Plateaus Beyond Observable Concentration
Zi-Shen Li, Bujiao Wu, Xiao-Wei Li +1
Parameterized quantum circuits (PQCs) are central to quantum machine learning and near-term quantum simulation, but their scalability is often hindered by barren plateaus (BPs), wh…
Expectation value estimation with parametrized quantum circuits
Bujiao Wu, Lingyu Kong, Yuxuan Yan +2
Estimating properties of quantum states, such as fidelities, molecular energies, and correlation functions, is a fundamental task in quantum information science. Due to the limitat…
Adaptive-depth randomized measurement for fermionic observables
Kaiming Bian, Bujiao Wu
Accurate estimation of fermionic observables is essential for advancing quantum physics and chemistry. The fermionic classical shadow (FCS) method offers an efficient framework for…
Error-mitigated fermionic classical shadows on noisy quantum devices
Bujiao Wu, Dax Enshan Koh
Efficiently estimating fermionic Hamiltonian expectation values is vital for simulating various physical systems. Classical shadow (CS) algorithms offer a solution by reducing the…