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Optimal Control of Closed Quantum Systems via B-Splines with Carrier Waves

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arxiv 2106.14310 v2 pith:7YUE5AQZ submitted 2021-06-27 quant-ph

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keywords controlquantumcarrierhamiltonianwavesapproachb-splinesclosed
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We consider the optimal control problem of determining electromagnetic pulses for implementing logical gates in a closed quantum system, where the Hamiltonian models the dynamics of coupled superconducting qudits. The quantum state is governed by Schr\"odinger's equation, which we formulate in terms of the real and imaginary parts of the state vector and solve by the St\"ormer-Verlet scheme, which is a symplectic partitioned Runge-Kutta method. A novel parameterization of the control functions based on B-splines with carrier waves is introduced. The carrier waves are used to trigger the resonant frequencies in the system Hamiltonian, and the B-spline functions specify their amplitude and phase. This approach allows the number of control parameters to be independent of, and significantly smaller than, the number of time steps for integrating Schr\"odinger's equation. We present numerical examples of how the proposed technique can be combined with an interior point L-BFGS algorithm for realizing quantum gates, and generalize our approach to calculate risk-neutral controls that are resilient to noise in the Hamiltonian model. The proposed method is also shown to compare favorably with QuTiP/pulse\_optim and Grape-Tensorflow.

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Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Using optimal control to guide neural-network interpolation of continuously-parameterized gates

    quant-ph 2024-12 conditional novelty 6.0 of 10

    A physics-informed neural network pretrained on coordinated quantum optimal control pulses can interpolate continuous quantum gate families faster and can be recalibrated from a few reference pulses.

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