Algorithms and Hybrid Quantum–Classical Workflows
VQE and QAOA remain promising on near-term devices, though optimizer fragility and noise complicate training. Advances in problem-specific ansätze and careful initialization are making once-wobbly convergence curves steadily more trustworthy.
Algorithms and Hybrid Quantum–Classical Workflows
Zero-noise extrapolation, probabilistic error cancellation, and pulse-level optimizations are squeezing value from every gate. The future favors compilers that reshape circuits around hardware quirks, rather than forcing physics to fit software abstractions.