Gradient-free pulse optimization for adiabatic control in open few-body quantum systems
Fuente:
arXiv
Guardado en:
| Autores principales: | , , , |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| _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 |