2 papers
quant-ph2026
Optimization landscapes of variational quantum algorithms
Xiaozhen Ge, Shuming Cheng, Guofeng Zhang +1
Optimization plays a central role in variational quantum algorithms, where the objective function typically takes the form $F(\boldsymbolθ)= \sum_{m=1}^{M} f_m \left(\mathrm{Tr}[U…
quant-ph2026
Resource-efficient quantum approximate optimization algorithm via Bayesian optimization and maximum-probability evaluation
Siran Zhang, Shuming Cheng
The quantum approximate optimization algorithm (QAOA) is a leading variational approach to combinatorial optimization, but its practical performance depends strongly on objective d…