activity
20202022
most citedProvably Optimal Control for Multiplicative Amplitude Control Noise

2 citations · 4 across the 5 of their papers we have counts for

collaborators

8 papers

quant-ph20222 cited

Provably Optimal Control for Multiplicative Amplitude Control Noise

Colin J. Trout, Kevin Schultz, Paraj Titum +3

We provide a technique to obtain provably optimal control sequences for quantum systems under the influence of time-correlated multiplicative control noise. Utilizing the circuit-l…

cs.MA2021

Bayesian optimization of distributed neurodynamical controller models for spatial navigation

Armin Hadzic, Grace M. Hwang, Kechen Zhang +2

Dynamical systems models for controlling multi-agent swarms have demonstrated advances toward resilient, decentralized navigation algorithms. We previously introduced the NeuroSwar…

eess.SP2021

Detecting Anomalous Swarming Agents with Graph Signal Processing

Kevin Schultz, Anshu Saksena, Elizabeth P. Reilly +2

Collective motion among biological organisms such as insects, fish, and birds has motivated considerable interest not only in biology but also in distributed robotic systems. In a…

cond-mat.soft2021

Analyzing Collective Motion Using Graph Fourier Analysis

Kevin Schultz, Marisel Villafane-Delgado, Elizabeth P. Reilly +2

Collective motion in animal groups, such as swarms of insects, flocks of birds, and schools of fish, are some of the most visually striking examples of emergent behavior. Empirical…

quant-ph2021

Impact of correlations and heavy-tails on quantum error correction

B. D. Clader, Colin J. Trout, Jeff P. Barnes +3

We show that space- and time-correlated single-qubit rotation errors can lead to high-weight errors in a quantum circuit when the rotation angles are drawn from heavy-tailed distri…

quant-ph2020

SchWARMA: A model-based approach for time-correlated noise in quantum circuits

Kevin Schultz, Gregory Quiroz, Paraj Titum +1

Temporal noise correlations are ubiquitous in quantum systems, yet often neglected in the analysis of quantum circuits due to the complexity required to accurately characterize and…