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Differentiable Digital Twins for Quantum Computer Optimization

US & West ·

A software toolset models atomic quantum systems and simulates qubit gate dynamics. Automatic differentiation combined with quantum optimal control and benchmarking enables gradient-based optimization to improve gate fidelity limited by noise and hardware imperfections.

Why it matters

Shows how differentiable modeling turns calibration of a complex physical system into a tractable optimization problem, the same principle behind digital-twin calibration.

Original headline
Differentiable Digital Twins for Optimization, Calibration, and Characterization of Neutral-Atom- and Ion-based Quantum Computers
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