High fidelity gates based on accelerated adiabatic evolution

Abstract

Scientific Objectives: The primary goal of this proposal is to exploit and extend recently developed ideas for accelerated adiabatic evolution (so-called ÒsuperadiabaticÓ approaches) to design and implement radical new approaches for performing quantum gates in superconducting quantum circuits. Such gates have the robustness of a purely adiabatic process, but unlike adiabatic gates, are not constrained to be extremely slow. They are thus a new means for achieving high-speed, high-fidelity gate operations. The work will involve theoretical development and optimization of new superadiabatic protocols, with a focus on a variety of state-of-the-art superconducting circuit architectures. Protocols for accelerated single qubit and two qubit gates will be developed and optimized. Basic Approaches: The main approach to be exploited is accelerated adiabatic evolution, where through careful design of dressed states and control pulse sequences, adiabatic quantum evolution can be enforced despite having a protocol speed that is fast compared to conventional limits constraining adiabaticity. Methods to be employed: We will use well-established methods from open quantum systems theory, quantum dynamics theory, quantum control and quantum optics to design, model and optimize superadiabatic protocols. Significance to the Advancement of Knowledge: A quantum computer would provide a means for solving problems that are currently intractable. A key challenge is to have protocols allowing fast, high-fidelity quantum gates. This proposal will explore and develop a completely new approach to the design of gates.

Document Details

Document Type
DoD Grant Award
Publication Date
May 20, 2019
Source ID
W911NF1910328

Entities

People

  • Aashish Clerk

Organizations

  • Army Contracting Command
  • National Security Agency
  • University of Chicago

Tags

Fields of Study

  • Physics

Readers

  • Operations Research
  • Quantum Dot Semiconductor Device Photonics and Graphene Optoelectronic Materials and THz Physics.
  • Systems Analysis and Design

Technology Areas

  • Quantum Computing