Tunable quantum dissipation using parametric interactions

Abstract

Dissipation mitigation and suppression continues to be the Achilles heel in scaling quantum systems and realizing quantum supremacy. Quantum reservoir engineering has emerged as an extremely powerful approach to tackle this challenge by correcting errors and realizing stable quantum coherences autonomously. This proposal develops a comprehensive theoretical framework to elucidate novel reservoir engineering principles that help transcend the limitations of current approaches. The specific aim is to enable a new generation of quantum state stabilization protocols with dramatically improved speed, fidelity and robustness to errors, which will address the outstanding challenge of generating deterministic entanglement in large quantum systems. The proposed framework rests on parametrically-controlled system-reservoir interactions, that allow in-situ reconfigurable couplings with tunable amplitudes and phases. The three primary thrusts of proposed program are to leverage such couplings (i) for developing scalable entanglement stabilization without trade-offs between speed and fidelity, (ii) investigating effects of non-local and conditional dissipation for autonomous error correction, and (iii) exploring optimal dissipative control to engineer speedups beyond Markovian and adiabatic models of dissipation. Proposed research can enable new functionalities in quantum control of low-dimensional open systems in the near-term, as it is readily accessible with state-of-the-art experimental capabilities in circuit-QED-like architectures.

Document Details

Document Type
DoD Grant Award
Publication Date
Jan 21, 2022
Source ID
FA95502110151XX0

Entities

People

  • Archana Kamal

Organizations

  • Air Force Office of Scientific Research
  • United States Air Force
  • University of Massachusetts Lowell

Tags

Fields of Study

  • Physics

Readers

  • Quantum spin resonance or Electron Paramagnetic Resonance spectroscopy.
  • Research Science/Academic Research
  • Systems Analysis and Design

Technology Areas

  • Quantum Computing