22 citations · 22 across the 5 of their papers we have counts for
5 papers
From Bits to Qubits: The Theory and Practice of Quantum Data Encoding
Xiao-Ming Zhang, Arthur G. Rattew, Bujiao Wu +4
Encoding classical data into quantum systems is a foundational step in the execution of nearly all quantum algorithms, and a critical bottleneck in realizing practical quantum adva…
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…
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…
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…
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…