Vizzuso, Mara (2025) Revisiting the Quantum Approximate Optimization Algorithm: New Strategies for Quantum Optimization. [Tesi di dottorato]
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| Item Type: | Tesi di dottorato |
|---|---|
| Resource language: | English |
| Title: | Revisiting the Quantum Approximate Optimization Algorithm: New Strategies for Quantum Optimization |
| Creators: | Creators Email Vizzuso, Mara mara.vizzuso@unina.it |
| Date: | 2025 |
| Number of Pages: | 187 |
| Institution: | Università degli Studi di Napoli Federico II |
| Department: | Fisica |
| Dottorato: | Quantum Technologies (Tecnologie Quantistiche) |
| Ciclo di dottorato: | 38 |
| Coordinatore del Corso di dottorato: | nome email Tafuri, Francesco francesco.tafuri@unina.it |
| Tutor: | nome email Passarelli, Gianluca gianluca.passarelli@unina.it Cantele, Giovanni giovanni.cantele@unina.it Lucignano, Procolo procolo.lucignano@unina.it |
| Date: | 2025 |
| Number of Pages: | 187 |
| Keywords: | quantum computation, quantum resources, quantum many-body theory |
| Settori scientifico-disciplinari del MIUR: | Area 02 - Scienze fisiche > FIS/03 - Fisica della materia |
| Additional information: | email per contatti futuri: vizz581@gmail.com |
| Date Deposited: | 25 May 2026 13:38 |
| Last Modified: | 25 May 2026 15:03 |
| URI: | http://www.fedoa.unina.it/id/eprint/15853 |
Collection description
This thesis investigates how techniques from Shortcuts to Adiabaticity (STA) can improve quantum optimization methods such as the Quantum Approximate Optimization Algorithm (QAOA) and digitized Quantum Annealing (dQA). We introduce QAOA-2CD, an enhanced counterdiabatic variant that incorporates higher-order corrections and can be implemented on real quantum circuits through Trotterization. We analyze its spectral properties and show that QAOA performance is closely tied to features of the underlying energy spectrum. The thesis also examines the generation of quantum resources via nonstabilizerness and provides a detailed study of Trotterization errors in dQA, demonstrating how STA techniques can mitigate them. Overall, the results contribute to the development of faster and more robust quantum optimization protocols for near-term devices.
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