@article{a140039e138e4b498220e1ec3cd4b03b,
title = "Suppressing qubit dephasing using real-time Hamiltonian estimation",
abstract = "Unwanted interaction between a quantum system and its fluctuating environment leads to decoherence and is the primary obstacle to establishing a scalable quantum information processing architecture. Strategies such as environmental and materials engineering, quantum error correction and dynamical decoupling can mitigate decoherence, but generally increase experimental complexity. Here we improve coherence in a qubit using real-time Hamiltonian parameter estimation. Using a rapidly converging Bayesian approach, we precisely measure the splitting in a singlet-triplet spin qubit faster than the surrounding nuclear bath fluctuates. We continuously adjust qubit control parameters based on this information, thereby improving the inhomogenously broadened coherence time (T-2*) from tens of nanoseconds to >2 mu s. Because the technique demonstrated here is compatible with arbitrary qubit operations, it is a natural complement to quantum error correction and can be used to improve the performance of a wide variety of qubits in both meteorological and quantum information processing applications.",
author = "MD Shulman and SP Harvey and JM Nichol and SD Bartlett and AC Doherty and Umansky, {Vladimir Y.} and Amnon Yacoby",
note = "United States Department of Defense; Office of the Director of National Intelligence (ODNI), Intelligence Advanced Research Projects Activity (IARPA); Army Research Office [W911NF-11-1-0068]; Department of Defense (DoD) through National Defense Science & Engineering Graduate Fellowship (NDSEG) Program; ARC via Centre of Excellence in Engineering Quantum Systems (EQuS) [CE110001013]; National Science Foundation [ECS-0335765] We acknowledge James MacArthur for building the correlated double sampler. This research was funded by the United States Department of Defense, the Office of the Director of National Intelligence (ODNI), Intelligence Advanced Research Projects Activity (IARPA), and the Army Research Office grant (W911NF-11-1-0068 and W911NF-11-1-0068). All statements of fact, opinion or conclusions contained herein are those of the authors and should not be construed as representing the official views or policies either expressly or implied of of IARPA, the ODNI, or the U.S. Government. S. P. H was supported by the Department of Defense (DoD) through the National Defense Science & Engineering Graduate Fellowship (NDSEG) Program. A. C. D. acknowledges discussions with Matthew Wadrop regarding extracting diffusion constants. A. C. D. and S. D. B. acknowledge support from the ARC via the Centre of Excellence in Engineering Quantum Systems (EQuS) project number CE110001013. This work was performed in part at the Center for Nanoscale Systems (CNS), a member of the National Nanotechnology Infrastructure Network (NNIN), which is supported by the National Science Foundation under NSF award no. ECS-0335765. CNS is a part of Harvard University.",
year = "2014",
month = oct,
doi = "https://doi.org/10.1038/ncomms6156",
language = "الإنجليزيّة",
volume = "5",
journal = "Nature Communications",
issn = "2041-1723",
publisher = "Nature Publishing Group",
}