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Optimizing EPR pulses for broadband excitation and refocusing
Eric R Lowe1, Stefan Stoll2, J P Kestner1
1Department of Physics, University of Maryland Baltimore County, Baltimore, MD 21250, USA.
Journal of Magnetic Resonance (San Diego, Calif. : 1997)
|November 26, 2024
Summary
New pulse shapes optimized using neural networks and other methods significantly improve Hahn echo amplitudes compared to conventional hyperbolic secant pulses. These flexible pulse designs allow for future optimization goals and constraints.
Area of Science:
- Quantum control
- Magnetic resonance
- Pulse shaping
Background:
- Hahn echo techniques are crucial for preserving quantum coherence.
- Optimizing broadband pulse shapes is essential for maximizing echo amplitudes in magnetic resonance.
- Conventional pulse shapes like hyperbolic secant (HS) have limitations.
Purpose of the Study:
- To numerically optimize broadband pulse shapes for maximizing Hahn echo amplitudes.
- To compare the performance of novel pulse parameterizations against conventional methods.
- To investigate the impact of power constraints and realistic distortions on pulse performance.
Main Methods:
- Pulse shapes were parameterized using neural networks (NN), nonlinear Fourier series (FS), and discrete time series (DT).
- Numerical optimization was performed under power constraints.
- Realistic distortions from power amplifier nonlinearity and resonator transfer functions were included.
Main Results:
- NN, FS, and DT parameterizations demonstrated equivalent performance.
- These novel parameterizations outperformed optimized HS pulses.
- A large number of equivalent optimal maxima were found, indicating design flexibility.
Conclusions:
- Advanced parameterizations offer superior broadband pulse shaping for Hahn echo maximization.
- The flexibility of these methods allows for incorporating additional constraints in future pulse designs.
- This work advances quantum control strategies in magnetic resonance.
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