5 papers
Beyond Quadratic Loss: The Stability Phase Diagram of Adam
Gaoxiang Tang, Huanran Chen, Ziming Liu
Loss spikes are recurrent instabilities in neural-network training and can arise from multiple mechanisms. For Adam in particular, macroscopic loss spikes have been linked to optim…
Solve Crude Oil Scheduling Problems by Using Quantum-Classical Hybrid Algorithms
Jian Yang, Bohang Wang, Lina Wang +5
The optimization of front-end crude oil scheduling is a critical determinant of refinery profitability and operational stability. However, the coupling of discrete logistics events…
Clustering-Based Sub-QUBO Extraction for Hybrid QUBO Solvers
Wending Zhao, Gaoxiang Tang
Quantum Approximate Optimization Algorithm (QAOA) can be used to solve quadratic unconstrained binary optimization (QUBO) problems. However, the size of the solvable problem is lim…
Performance Analysis for Crosstalk Errors between Parallel Entangling Gates in Trapped Ion Quantum Error Correction
Fangxuan Liu, Gaoxiang Tang, Luming Duan +1
The ability to execute a large number of quantum gates in parallel is a fundamental requirement for quantum error correction, allowing an error threshold to exist under the finite…
Robust Mølmer-Sørensen Gate Against Symmetric and Asymmetric Errors
Wenhao Zhang, Gaoxiang Tang, Kecheng Liu +4
To achieve the entangling gate fidelity above the quantum error correction threshold, it is critical to suppress errors due to experimental imperfection. We consider the Mølmer-Sør…