3 papers
quant-ph2025
Measurement-driven Quantum Approximate Optimization
Tobias Stollenwerk, Stuart Hadfield
Algorithms based on non-unitary evolution have attracted much interest for ground state preparation on quantum computers. One recently proposed method makes use of ancilla qubits a…
quant-ph2025
Warm Start of Variational Quantum Algorithms for Quadratic Unconstrained Binary Optimization Problems
Yahui Chai, Karl Jansen, Stefan Kühn +2
Variational Quantum Eigensolver (VQE) is widely used in near-term hardware. However, their performances remain limited by the poor trainability and are dependent on random paramete…
quant-ph2025
Quantum combinatorial optimization beyond the variational paradigm: simple schedules for hard problems
Tim Bode, Krish Ramesh, Tobias Stollenwerk
Advances in quantum algorithms suggest a tentative scaling advantage on certain combinatorial optimization problems. Recent work, however, has also reinforced the idea that barren…