Researchers from Zhejiang University and their collaborators have developed Qjump, a hybrid quantum-classical algorithm for tackling combinatorial optimization problems. By combining shallow-circuit quantum sampling with classical local search, Qjump effectively "jumps" between candidate solution landscapes to overcome local minima. On up to 104 superconducting qubits, Qjump demonstrated its potential to outperform a highly optimized simulated annealing algorithm, marking a significant step toward practical quantum advantage on near-term quantum hardware.

Information transmission with structured light continues to advance in performance. In a study published in PhotoniX, researchers from Nanjing University have introduced the LightELF system to tackle a key challenge in structured light detection. The team developed and validated an event‑driven method for dynamic singularity detection and topological signal encoding, providing a new technical pathway to overcome the long‑standing challenge of real‑time processing and information transmission using optical topological knots.