Landau-Zener-Stückelberg spectroscopy of a fluxonium quantum circuit
Source abstract
Abstract
In this work, we study the time-averaged populations obtained for a fluxonium circuit under a large amplitude nonresonant periodic drive. We present numerical simulations of the time evolution which consider the multi-level structure of the driven quantum circuit, looking for a realistic modeling closer to experimental implementations. The Landau-Zener-Stückelberg spectra show resonances that can be understood as originated from constructive interference favoring transitions to higher levels. For a truncated two-level system (TLS) the resonance patterns can be interpreted using a simplified description of the avoided crossing that takes into account the dynamic phase accumulated at each operation point. For the multilevel case, we derive an effective two-level Hamiltonian using a Schrieffer-Wolff transformation starting from the Floquet Hamiltonian in the Sambe space. Our study provides predictive insight into experimental outcomes, offering an intuitive interpretation that could also support the implementation of fast-non-adiabatic single-qubit gates and entangling protocols.
Source: openaire · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Spectroscopy and Quantum Chemical Studies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Centro Atómico Bariloche
Instituto Balseiro
CONICET
Funding
Comisión Nacional de Energía Atómica, Gobierno de Argentina · Agencia Nacional de Promoción Científica y Tecnológica · Universidad Nacional de Cuyo · Consejo Nacional de Investigaciones Científicas y Técnicas
References (56)
Show source-provided references
1. 10.1063/1.508955010.1063/1.5089550 ↗
2. 10.1146/annurev-conmatphys-031119-05060510.1146/annurev-conmatphys-031119-050605 ↗
3. 10.1103/PhysRevA.76.04231910.1103/PhysRevA.76.042319 ↗
4. 10.1126/science.117555210.1126/science.1175552 ↗
5. 10.1103/PhysRevLett.103.21700410.1103/PhysRevLett.103.217004 ↗
6. 10.1038/nature1301710.1038/nature13017 ↗
7. 10.1103/PhysRevX.9.04104110.1103/PhysRevX.9.041041 ↗
8. 10.1103/PRXQuantum.2.03010110.1103/PRXQuantum.2.030101 ↗
9. 10.1103/PhysRevLett.129.01050210.1103/PhysRevLett.129.010502 ↗
10. 10.1103/PRXQuantum.3.04033610.1103/PRXQuantum.3.040336 ↗
11. 10.1103/PRXQuantum.3.03700110.1103/PRXQuantum.3.037001 ↗
12. 10.1103/PhysRevX.13.03103510.1103/PhysRevX.13.031035 ↗
13. 10.1103/PhysRevLett.120.15050310.1103/PhysRevLett.120.150503 ↗
14. 10.1103/PRXQuantum.2.02034510.1103/PRXQuantum.2.020345 ↗
15. 10.1063/5.006480010.1063/5.0064800 ↗
16. 10.1038/s41534-022-00644-x10.1038/s41534-022-00644-x ↗
17. 10.1038/s41467-018-06386-910.1038/s41467-018-06386-9 ↗
18. 10.1038/s41563-019-0350-310.1038/s41563-019-0350-3 ↗
19. 10.1103/PhysRevB.99.09450610.1103/PhysRevB.99.094506 ↗
20. 10.1103/PhysRevX.10.03103210.1103/PhysRevX.10.031032 ↗
21. 10.1038/s41563-022-01417-910.1038/s41563-022-01417-9 ↗
22. 10.1103/PhysRevX.11.01101010.1103/PhysRevX.11.011010 ↗
23. 10.1103/PhysRevLett.130.26700110.1103/PhysRevLett.130.267001 ↗
24. 10.1103/PRXQuantum.5.04034210.1103/PRXQuantum.5.040342 ↗
25. 10.1016/j.physrep.2010.03.00210.1016/j.physrep.2010.03.002 ↗
26. 10.1103/PhysRevB.98.19543410.1103/PhysRevB.98.195434 ↗
27. 10.1016/j.physrep.2022.10.00210.1016/j.physrep.2022.10.002 ↗
28. 10.1126/science.111967810.1126/science.1119678 ↗
29. 10.1103/PhysRevLett.96.18700210.1103/PhysRevLett.96.187002 ↗
30. 10.1103/PhysRevLett.101.01700310.1103/PhysRevLett.101.017003 ↗
31. 10.1007/s11128-009-0108-y10.1007/s11128-009-0108-y ↗
32. 10.1038/nature0726210.1038/nature07262 ↗
33. 10.1103/PhysRevLett.109.23700510.1103/PhysRevLett.109.237005 ↗
34. 10.1103/PhysRevLett.108.17050310.1103/PhysRevLett.108.170503 ↗
35. 10.1103/PhysRevB.93.06452110.1103/PhysRevB.93.064521 ↗
36. 10.1140/epjb/e2017-80563-y10.1140/epjb/e2017-80563-y ↗
37. 10.1103/PhysRevA.98.04233710.1103/PhysRevA.98.042337 ↗
38. 10.1103/PhysRevA.104.03241010.1103/PhysRevA.104.032410 ↗
39. 10.1103/PhysRevB.101.24541510.1103/PhysRevB.101.245415 ↗
40. 10.1103/PhysRevA.105.05241310.1103/PhysRevA.105.052413 ↗
41. 10.1103/PhysRevX.10.04105110.1103/PhysRevX.10.041051 ↗
42. 10.1103/PhysRevA.108.05261910.1103/PhysRevA.108.052619 ↗
43. 10.1103/PhysRevApplied.14.05403310.1103/PhysRevApplied.14.054033 ↗
44. 10.1103/PhysRev.149.49110.1103/PhysRev.149.491 ↗
45. 10.1016/j.aop.2011.06.00410.1016/j.aop.2011.06.004 ↗
46. G. E. Santoro, Introduction to Floquet Theory, Lecture Notes SISSA, Trieste (2019), https://www.ggi.infn.it/sft/SFT_2019/LectureNotes/Santoro.pdf.
47. 10.1080/00018732.2015.105591810.1080/00018732.2015.1055918 ↗
48. 10.1016/j.cpc.2012.02.02110.1016/j.cpc.2012.02.021 ↗
49. 10.1103/PhysRevB.86.12130310.1103/PhysRevB.86.121303 ↗
50. 10.1103/PhysRevLett.121.04360310.1103/PhysRevLett.121.043603 ↗
51. 10.1103/PhysRevApplied.14.01404710.1103/PhysRevApplied.14.014047 ↗
52. At a first glance, the two-level truncation seems to be a quite reasonable approach at the operationally “sweet spot”, δ0=π, since E2(π)−E1(π)≫E1(π)−E0(π). For the sake of comparison, the qubit Hamiltonian at δ0=π is Ĥ≈ωq(π)2σz−2ELAσxcos(ωt), such that the Rabi frequency for a resonant tone (ω=ωq(π)) is ΩR≈4ELA. This means that the amplitude to realize a PI-pulse in 10 ns would be A≈0.004π (ΩR=2π×0.05GHz). As we are considering nonresonant tones and much larger amplitudes, the full LZS spectrum (see Fig. 3) differs significantly from what is shown in Fig. 2.
53. 10.1103/PhysRev.138.B97910.1103/PhysRev.138.B979 ↗
54. 10.1103/PhysRevE.55.30010.1103/PhysRevE.55.300 ↗
55. 10.1103/PhysRevA.79.03230110.1103/PhysRevA.79.032301 ↗
56. 10.1016/S0370-1573(98)00022-210.1016/S0370-1573(98)00022-2 ↗