English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Auto-correlated noise appears in many solid state qubit systems and henceneeds to be taken into account when developing gate operations for quantuminformation processing. However, explicitly simulating this kind of noise isoften less efficient than approximate methods. Here, we focus on the filterfunction formalism, which allows the computation of gate fidelities in thepresence of auto-correlated classical noise. Hence, this formalism can becombined with optimal control algorithms to design control pulses, whichoptimally implement quantum gates. To enable the use of gradient-basedalgorithms with fast convergence, we present analytically derived filterfunction gradients with respect to control pulse amplitudes, and analyze thecomputational complexity of our results. When comparing pulse optimizationusing our derivatives to a gradient-free approach, we find that thegradient-based method is roughly two orders of magnitude faster for our testcases. We also provide a modular computational implementation compatible withquantum optimal control packages.

Analytic Filter Function Derivatives for Quantum Optimal Control