Neural-network-designed pulse sequences for robust control of singlet-triplet qubits

Xu-Chen Yang, Man-Hong Yung, and Xin Wang
Phys. Rev. A 97, 042324 – Published 16 April 2018

Abstract

Composite pulses are essential for universal manipulation of singlet-triplet spin qubits. In the absence of noise, they are required to perform arbitrary single-qubit operations due to the special control constraint of a singlet-triplet qubit, while in a noisy environment, more complicated sequences have been developed to dynamically correct the error. Tailoring these sequences typically requires numerically solving a set of nonlinear equations. Here we demonstrate that these pulse sequences can be generated by a well-trained, double-layer neural network. For sequences designed for the noise-free case, the trained neural network is capable of producing almost exactly the same pulses known in the literature. For more complicated noise-correcting sequences, the neural network produces pulses with slightly different line shapes, but the robustness against noises remains comparable. These results indicate that the neural network can be a judicious and powerful alternative to existing techniques in developing pulse sequences for universal fault-tolerant quantum computation.

  • Figure
  • Figure
  • Figure
  • Figure
  • Figure
  • Figure
  • Figure
1 More
  • Received 1 August 2017
  • Revised 15 December 2017

DOI:https://doi.org/10.1103/PhysRevA.97.042324

©2018 American Physical Society

Physics Subject Headings (PhySH)

Quantum Information, Science & TechnologyCondensed Matter, Materials & Applied PhysicsGeneral Physics

Authors & Affiliations

Xu-Chen Yang1,2, Man-Hong Yung3,4, and Xin Wang1,2,*

  • 1Department of Physics, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong SAR, China
  • 2City University of Hong Kong Shenzhen Research Institute, Shenzhen, Guangdong 518057, China
  • 3Institute for Quantum Science and Engineering and Department of Physics, Southern University of Science and Technology, Shenzhen 518055, China
  • 4Shenzhen Key Laboratory of Quantum Science and Engineering, Shenzhen 518055, China

  • *x.wang@cityu.edu.hk

Article Text (Subscription Required)

Click to Expand

References (Subscription Required)

Click to Expand
Issue

Vol. 97, Iss. 4 — April 2018

Reuse & Permissions
Access Options
Author publication services for translation and copyediting assistance advertisement

Authorization Required


×
×

Images

×

Sign up to receive regular email alerts from Physical Review A

Log In

Cancel
×

Search


Article Lookup

Paste a citation or DOI

Enter a citation
×