Bulletin of the American Physical Society
APS March Meeting 2021
Volume 66, Number 1
Monday–Friday, March 15–19, 2021; Virtual; Time Zone: Central Daylight Time, USA
Session F33: Quantum Characterization, Verification, and Validation II
11:30 AM–2:06 PM,
Tuesday, March 16, 2021
Sponsoring
Unit:
DQI
Chair: Kevin Young, Sandia National Laboratories
Abstract: F33.00011 : Frame-based filter-function formalism for quantum characterization and control - Part II. Noise-tailored gate design*
1:54 PM–2:06 PM
Not Participating
Presenter:
Yuanlong Wang
(Centre for Quantum Dynamics, Griffith University)
Authors:
Teerawat Chalermpusitarak
(Centre for Quantum Dynamics, Griffith University)
Behnam Tonekaboni
(Centre for Quantum Dynamics, Griffith University)
Yuanlong Wang
(Centre for Quantum Dynamics, Griffith University)
Leigh M Norris
(Physics and Astronomy, Dartmouth College)
Lorenza Viola
(Physics and Astronomy, Dartmouth College)
gerardo paz-silva
(Centre for Quantum Dynamics, Griffith University)
The frame-formalism [https://arxiv.org/abs/2008.13216] leads to a model-reduced representation of the open quantum system dynamics and permitting efficient integration of the control capabilities from the outset, allowing the streamlining of the tasks of characterization and optimal control of open quantum systems.
We demonstrate via numerical simulations an experimentally motivated open multi-qubit system with piecewise noisy control. We show how one can characterize exactly what is needed to execute optimal control given the available control, and demonstrate how very high fidelities can be achieved with only minimal assumptions. We present the model-reduction properties of the formalism by showing only a minimal loss of performance when compared to the (unrealistic) scenario in which full information about the open quantum system is available.
*Work at Griffith was supported by funding from the Australian Government via the AUSMURI grant AUSMURI000002. G.P.S. is
pleased to acknowledge support from the DECRA fellowship DE170100088. L.M.N and L.V. gratefully acknowledge support
from the U.S. Army Research Office through the U.S. MURI Grant No. W911NF1810218.
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