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quant-ph2026
Prior-Informed Adaptive Shifts for Sequential Minimal Optimization in Variational Quantum Eigensolvers
Frederik Stalschus, Samuele Pedrielli, Stefan Kühn +3
Sequential minimal optimization methods, such as the Rotosolve and the Nakanishi-Fujii-Todo algorithm (NFT), are widely used for Variational Quantum Eigensolvers (VQEs). These meth…
quant-ph2026
Imaginarity as a necessary resource for trainability in QAOA
Syed Muhammad Ali Hassan, Kostas Blekos, Stefan Kühn +2
The quantum approximate optimization algorithm (QAOA) tackles combinatorial problems by tuning a quantum circuit in a classical loop, often guided by gradients. We show that the gr…