Numerical Engineering of Robust Adiabatic Operations
- URL: http://arxiv.org/abs/2009.03266v2
- Date: Sat, 1 May 2021 03:27:55 GMT
- Title: Numerical Engineering of Robust Adiabatic Operations
- Authors: Sahand Tabatabaei, Holger Haas, William Rose, Ben Yager, Mich\`ele
Piscitelli, Pardis Sahafi, Andrew Jordan, Philip J. Poole, Dan Dalacu, Raffi
Budakian
- Abstract summary: We present a versatile gradient-based optimization protocol that combines adiabatic control with effective Hamiltonian engineering.
The practicality of the protocol is demonstrated by engineering a fast, 2.3 Rabi cycle-long adiabatic inversion pulse for magnetic resonance.
The performance and robustness of the pulse is validated in a nanoscale force-detected magnetic resonance experiment on a solid-state sample.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Adiabatic operations are powerful tools for robust quantum control in
numerous fields of physics, chemistry and quantum information science. The
inherent robustness due to adiabaticity can, however, be impaired in
applications requiring short evolution times. We present a single versatile
gradient-based optimization protocol that combines adiabatic control with
effective Hamiltonian engineering in order to design adiabatic operations
tailored to the specific imperfections and resources of an experimental setup.
The practicality of the protocol is demonstrated by engineering a fast, 2.3
Rabi cycle-long adiabatic inversion pulse for magnetic resonance with built-in
robustness to Rabi field inhomogeneities and resonance offsets. The performance
and robustness of the pulse is validated in a nanoscale force-detected magnetic
resonance experiment on a solid-state sample, indicating an ensemble-averaged
inversion accuracy of $\sim 99.997\%$. We further showcase the utility of our
protocol by providing examples of adiabatic pulses robust to spin-spin
interactions, parameter-selective operations and operations connecting
arbitrary states, each motivated by experiments.
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