Proof of the Error Scaling for Universally Robust Dynamical Decoupling Sequences

📅 2026-04-28
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🤖 AI Summary
This work addresses the absence of rigorous mathematical proof regarding the higher-order error suppression capability of URₙ dynamical decoupling sequences. By constructing a series expansion of the fidelity modulus, the authors derive necessary and sufficient algebraic conditions under which error coefficients cancel exactly up to order n. For the first time, they establish a rigorous error scaling theory for URₙ sequences with even n, demonstrating that the fidelity under pulse errors satisfies 1 − F = O(εⁿ). This result reveals the intrinsic mathematical structure underlying the phase design of URₙ sequences that enables high-order robustness and provides a solid theoretical foundation for their application in quantum control error suppression.
📝 Abstract
Universally robust dynamical decoupling (UR$n$) sequences were proposed to compensate pulse imperfections arising from arbitrary experimental parameters while achieving high-order error suppression with only a linear increase in the number of pulses. Although their performance was supported by analytical arguments, numerical simulations, and experiments, a complete mathematical proof of the claimed order of error compensation has been absent. In this work, we present a rigorous proof for UR$n$ DD sequences with even $n$. Using a series expansion of a quantity whose modulus is the fidelity $F$, we derive necessary and sufficient conditions for the cancellation of its coefficients up to, but not including, order $n$. The UR$n$ phase prescription satisfies these conditions, and therefore $1-F=O(ε^n)$. Our results establish the UR$n$ construction on firm analytical grounds and clarify the structure responsible for its high-order robustness.
Problem

Research questions and friction points this paper is trying to address.

dynamical decoupling
error scaling
universal robustness
fidelity
pulse imperfections
Innovation

Methods, ideas, or system contributions that make the work stand out.

dynamical decoupling
error suppression
universal robustness
fidelity
pulse imperfections