10 citations · 10 across the 5 of their papers we have counts for
5 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…
Channel Superposition Mitigates Photon Loss Errors in Quantum Illumination
Fei Li, Xiao-Wei Li, Oscar Dahlsten
In quantum illumination, the probe photon is entangled with an ancilla photon, and both are jointly measured at the end. The entanglement between the probe and ancilla photons enha…
Hybrid Real-Imaginary Time Evolution for Low-Depth Hamiltonian Simulation in Quantum Optimization
Fei Li, Xiao-Wei Li
Counterdiabatic (CD) driving is a powerful technique for accelerating adiabatic quantum computing. However, it becomes self-limiting in complex optimizations like the Sherrington-K…
Simulating the Schwinger Model with a Regularized Variational Quantum Imaginary Time Evolution
Xiao-Wei Li, Fei Li, Jiapei Zhuang +1
The Schwinger model serves as a benchmark for testing non-perturbative algorithms in quantum chromodynamics (QCD), emphasizing its similarities to QCD in strong coupling regimes, p…
MindSpore Quantum: A User-Friendly, High-Performance, and AI-Compatible Quantum Computing Framework
Xusheng Xu, Jiangyu Cui, Zidong Cui +36
We introduce MindSpore Quantum, a pioneering hybrid quantum-classical framework with a primary focus on the design and implementation of noisy intermediate-scale quantum (NISQ) alg…