Recent advances in quantum technologies have intensified the search for algo rithms that can use quantum resources effectively. Quantum annealing and hybrid quantum–classical variational algorithms are two prominent approaches in this set ting. Conventional quantum annealing follows a prescribed Hamiltonian interpo lation and may therefore be limited by small spectral gaps along that path. This Thesis investigates how algorithmic performance changes when three elements are varied: the annealing schedule (Chapter 2), the independent parameters of a digi tized evolution (Chapter 3), and the encoding of the problem (Chapter 4). For weighted MaxCut instances with anomalously small annealing gaps, opti mized smooth schedules outperform linear digitized annealing at equal circuit depth. Rather than restoring adiabaticity or enlarging the gap, the dynamics deliberately leaves the instantaneous ground state and later returns the population to the target state. Smoothness allows these digital solutions to retain their quality as continuous time controls and when transferred between related instances. The schedule restriction is then removed for a frustrated Ising ring whose anneal ing gap closes exponentially with system size. Optimizing all circuit angles inde pendently yields numerically exact ground-state preparation at the critical depth Pcr 1 =(N2−1)/4. This quadratic threshold is explained by the dimension and sym metries of the reachable free-fermion manifold, demonstrating that controllability, rather than the gap of a particular interpolation, determines the required number of digital controls. Finally, the same ring family is reformulated through the parity mapping. For the original frustrated ring, Parity-QAOA reaches the exact ground state using only single-qubit rotations, without applying the constraint unitary. The number of layers equals the number of distinct coupling values and does not grow with system size. To clarify the role of constraints, an equal-magnitude signed ring is also studied, for which the constraint unitary is essential for preparing the target ground state. Together, these results identify the shape, controllability, and encoding of a quan tum protocol as resources for overcoming limitations imposed by more restricted routes to ground-state preparation.
Quantum Optimal Control and Variational Algorithms for Optimization
WANG, RUIYI
2026
Abstract
Recent advances in quantum technologies have intensified the search for algo rithms that can use quantum resources effectively. Quantum annealing and hybrid quantum–classical variational algorithms are two prominent approaches in this set ting. Conventional quantum annealing follows a prescribed Hamiltonian interpo lation and may therefore be limited by small spectral gaps along that path. This Thesis investigates how algorithmic performance changes when three elements are varied: the annealing schedule (Chapter 2), the independent parameters of a digi tized evolution (Chapter 3), and the encoding of the problem (Chapter 4). For weighted MaxCut instances with anomalously small annealing gaps, opti mized smooth schedules outperform linear digitized annealing at equal circuit depth. Rather than restoring adiabaticity or enlarging the gap, the dynamics deliberately leaves the instantaneous ground state and later returns the population to the target state. Smoothness allows these digital solutions to retain their quality as continuous time controls and when transferred between related instances. The schedule restriction is then removed for a frustrated Ising ring whose anneal ing gap closes exponentially with system size. Optimizing all circuit angles inde pendently yields numerically exact ground-state preparation at the critical depth Pcr 1 =(N2−1)/4. This quadratic threshold is explained by the dimension and sym metries of the reachable free-fermion manifold, demonstrating that controllability, rather than the gap of a particular interpolation, determines the required number of digital controls. Finally, the same ring family is reformulated through the parity mapping. For the original frustrated ring, Parity-QAOA reaches the exact ground state using only single-qubit rotations, without applying the constraint unitary. The number of layers equals the number of distinct coupling values and does not grow with system size. To clarify the role of constraints, an equal-magnitude signed ring is also studied, for which the constraint unitary is essential for preparing the target ground state. Together, these results identify the shape, controllability, and encoding of a quan tum protocol as resources for overcoming limitations imposed by more restricted routes to ground-state preparation.| File | Dimensione | Formato | |
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https://hdl.handle.net/20.500.14242/379947
URN:NBN:IT:SISSA-379947