Gradient-free pulse optimization for adiabatic control in open few-body quantum systems
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | , , , |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
| _version_ | 1866910012462333952 |
|---|---|
| author | Turyansky, Daniel Zolti, Yehonatan Cohen, Yuval Pick, Adi |
| author_facet | Turyansky, Daniel Zolti, Yehonatan Cohen, Yuval Pick, Adi |
| contents | We present a robust pulse optimization method for adiabatic population transfer and adiabatic quantum computation. The approach relies on identifying control pulses that keep the evolving quantum system close to its instantaneous ground state. By combining advanced gradient-free optimization tools with specialized cost functions for adiabatic control, it achieves both efficiency and robustness. To demonstrate its generality, we apply the method to three examples involving both atomic and superconducting qubits. We test different optimization cost functions and discretization bases, showing that the approach outperforms ensemble optimization. Finally, to verify its performance on real quantum hardware, we implement digitized adiabatic qubit control using the optimized pulses on the IBM Quantum cloud. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_09770 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Gradient-free pulse optimization for adiabatic control in open few-body quantum systems Turyansky, Daniel Zolti, Yehonatan Cohen, Yuval Pick, Adi Quantum Physics We present a robust pulse optimization method for adiabatic population transfer and adiabatic quantum computation. The approach relies on identifying control pulses that keep the evolving quantum system close to its instantaneous ground state. By combining advanced gradient-free optimization tools with specialized cost functions for adiabatic control, it achieves both efficiency and robustness. To demonstrate its generality, we apply the method to three examples involving both atomic and superconducting qubits. We test different optimization cost functions and discretization bases, showing that the approach outperforms ensemble optimization. Finally, to verify its performance on real quantum hardware, we implement digitized adiabatic qubit control using the optimized pulses on the IBM Quantum cloud. |
| title | Gradient-free pulse optimization for adiabatic control in open few-body quantum systems |
| topic | Quantum Physics |
| url | https://arxiv.org/abs/2507.09770 |