Control optimization for parametric hamiltonians by pulse reconstruction
- URL: http://arxiv.org/abs/2102.12316v4
- Date: Wed, 6 Sep 2023 12:45:16 GMT
- Title: Control optimization for parametric hamiltonians by pulse reconstruction
- Authors: Piero Luchi, Francesco Turro, Valentina Amitrano and Francesco
Pederiva, Xian Wu, Kyle Wendt, Jonathan L Dubois and Sofia Quaglioni
- Abstract summary: We propose a method to reduce the computational time required to generate the control pulse for a Hamiltonian.
We use simple schemes to accurately reconstruct the control pulses from a set of pulses obtained in advance for a discrete set of predetermined parameter values.
- Score: 21.723487348914958
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Optimal control techniques provide a means to tailor the control pulses
required to generate customized quantum gates, which helps to improve the
resilience of quantum simulations to gate errors and device noise. However, the
significant amount of (classical) computation required to generate customized
gates can quickly undermine the effectiveness of this approach, especially when
pulse optimization needs to be iterated. We propose a method to reduce the
computational time required to generate the control pulse for a Hamiltonian
that is parametrically dependent on a time-varying quantity. We use simple
interpolation schemes to accurately reconstruct the control pulses from a set
of pulses obtained in advance for a discrete set of predetermined parameter
values. We obtain a reconstruction with very high fidelity and a significant
reduction in computational effort. We report the results of the application of
the proposed method to device-level quantum simulations of the unitary (real)
time evolution of two interacting neutrons based on superconducting qubits.
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