Dynamical-decoupling noise spectroscopy at an optimal working point of a qubit
Abstract
I present a theory of environmental noise spectroscopy via dynamical decoupling of a qubit at an optimal working point. Considering a sequence of n pulses and pure dephasing due to quadratic coupling to Gaussian distributed noise ξ (t), I use the linked-cluster (cumulant) expansion to calculate the coherence decay. Solutions allowing for reconstruction of spectral density of noise are given. For noise with correlation time shorter than the time scale on which coherence decays, the noise filtered by the dynamical decoupling procedure can be treated as effectively Gaussian at large n, and well-established methods of noise spectroscopy can be used to reconstruct the spectrum of ξ2(t) noise. On the other hand, for noise of dominant low-frequency character (1/fβ noise with β >1), an infinite-order resummation of the cumulant expansion is necessary, and it leads to an analytical formula for coherence decay having a power-law tail at long times. In this case, the coherence at time t depends both on spectral density of ξ (t) noise at ω =nπ/t, and on the effective low-frequency cutoff of the noise spectrum, which is typically given by the inverse of the data acquisition time. Simulations of decoherence due to purely transverse noise show that the analytical formulas derived in this paper apply in this often encountered case of an optimal working point, provided that the number of pulses is not very large, and that the longitudinal qubit splitting is much larger than the transverse noise amplitude.
- Publication:
-
Physical Review A
- Pub Date:
- October 2014
- DOI:
- 10.1103/PhysRevA.90.042307
- arXiv:
- arXiv:1308.3102
- Bibcode:
- 2014PhRvA..90d2307C
- Keywords:
-
- 03.67.Pp;
- 03.65.Yz;
- 05.40.Ca;
- Quantum error correction and other methods for protection against decoherence;
- Decoherence;
- open systems;
- quantum statistical methods;
- Noise;
- Condensed Matter - Mesoscale and Nanoscale Physics;
- Quantum Physics
- E-Print:
- Substantially expanded final version, includes discussion of dynamical decoupling from transverse noise