Materials challenges and opportunities for quantum computing hardware

Abstract

The potential of quantum computers to solve problems that are intractable for classical computers has driven advances in hardware fabrication. In practice, the main challenge in realizing quantum computers is that general, many-particle quantum states are highly sensitive to noise, which inevitably causes errors in quantum algorithms. Some noise sources are inherent to the current materials platforms. de Leon et al. review some of the materials challenges for five platforms for quantum computers and propose directions for their solution.

Document Details

Document Type
Pub Defense Publication
Publication Date
Apr 16, 2021
Source ID
10.1126/science.abb2823

Entities

People

  • B. S. Palmer
  • David W. Steuerman
  • Dohun Kim
  • Hanhee Paik
  • Karan K. Mehta
  • Kohei M. Itoh
  • Nathalie P de Leon
  • Nitin Samarth
  • Sorawis Sangtawesin
  • Tracy E. Northup

Organizations

  • ETH Zurich
  • Horizon 2020
  • International Business Machines Corporation (Armonk, NY)
  • Keio University
  • Ministry of Science and ICT
  • National Science Foundation
  • Pennsylvania State University
  • Princeton University
  • Seoul National University
  • Suranaree University of Technology
  • The Kavli Foundation
  • United States Army Research Laboratory
  • United States Department of Energy
  • University of Innsbruck
  • University of Maryland
  • University of Pennsylvania

Tags

Fields of Study

  • Physics

Readers

  • Distributed Systems and Data Platform Development
  • Parallel and Distributed Computing.
  • Quantum Dot Semiconductor Device Photonics and Graphene Optoelectronic Materials and THz Physics.

Technology Areas

  • Quantum Computing