RANDOMLY DISORDERED-TOPOLOGICAL EDGE-STATE OF RYDBERG ATOM ARRAY

Abstract

Rydberg atom-based quantum simulator has recently been a leading research platform to test a novel quantum algorithm to realize robust quantum information processing. Rydberg atoms can remotely interact in contrast to the superconducting or ion trap in terms of nearest neighbor interaction of qubit. In general, achieving both high fidelity and scalability is challenging. One way to tackle this issue is to utilize Rydberg’s mesoscopic properties. N>100 multi-qubit gate operations using a neutral Rydberg atom array might show statistically noisy and complicated behavior, which could be a drawback. Counterintuitively, the imperfection provides the controllability or enhances the fidelity for a specific condition. The proposed hypothesis is the disorder-assisted localization analogous to the Anderson Localization in solid-state. However, it is still not fully been convinced nor understood how it works in our Rydberg array. In our project, we investigate such underlying physics. Our hypothesis is searching for a topologically protected edge band of the specific geometry of the Rydberg array to secure the robustness of the system by utilizing an artificial neural network (ANN). We then test quantum entanglement of arbitrary two-qubit Bell-state of distant pair of Rydberg atoms among 2D Rydberg atom array by addressing designed Ramsey-like spatial external field. Once our protocol demonstrated successful fidelity, the scheme can also be applied to superconducting or ion trap type quantum computing hardware. Our research might be useful to reduce the time operation and enhance the quantum information processor speed.

Document Details

Document Type
DoD Grant Award
Publication Date
Aug 11, 2021
Source ID
FA23862014068

Entities

People

  • Heejeong Jeong

Organizations

  • Air Force Office of Scientific Research
  • United States Air Force
  • Universiti Malaya

Tags

Fields of Study

  • Physics

Readers

  • Quantum Dot Semiconductor Device Photonics and Graphene Optoelectronic Materials and THz Physics.
  • Quantum spin resonance or Electron Paramagnetic Resonance spectroscopy.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • Quantum Computing