Optimized Dynamical Decoupling in a Model Quantum Memory
Michael J. Biercuk, Hermann Uys, Aaron P. VanDevender, Nobuyasu Shiga,, Wayne M. Itano, John J. Bollinger

TL;DR
This paper demonstrates that optimized dynamical decoupling pulse sequences can significantly reduce qubit error rates in various noise environments, outperforming existing sequences through experimental and theoretical validation.
Contribution
The study introduces novel, actively optimized pulse sequences tailored to specific noise conditions, enhancing qubit memory robustness without prior noise knowledge.
Findings
Optimized sequences outperform Uhrig and CPMG sequences in error suppression.
Experimental results align well with theoretical predictions under realistic conditions.
Sequences can suppress errors by orders of magnitude compared to existing methods.
Abstract
We present experimental measurements on a model quantum system that demonstrate our ability to dramatically suppress qubit error rates by the application of optimized dynamical decoupling pulse sequences in a variety of experimentally relevant noise environments. We provide the first demonstration of an analytically derived pulse sequence developed by Uhrig, and find novel sequences through active, real-time experimental feedback. These new sequences are specially tailored to maximize error suppression without the need for a priori knowledge of the ambient noise environment. We compare these sequences against the Uhrig sequence, and the well established CPMG-style spin echo, demonstrating that our locally optimized pulse sequences outperform all others under test. Numerical simulations show that our locally optimized pulse sequences are capable of suppressing errors by orders of…
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