Progress Towards Fast Dissipation-Induced Entanglement In Circuit-QED Using Parametric Interactions
ORAL
Abstract
Parametric interactions enable powerful and novel functionalities with applications in many areas of quantum information science and engineering. Dissipative state stabilization, which seeks to achieve quantum state preparation without the standard gate-based methods, is an application that benefits from parametric interactions. Unlike resonantly-driven protocols, parametric schemes for state preparation circumvent the tradeoff between target state fidelity and state preparation time [1]. In this talk, I will discuss progress toward experimental realization of a parametrically-induced state stabilization scheme in circuit-QED architecture. Our device consists of two transmon qubits coupled to a common resonator with a flux-tunable SQUID coupler. Modulating the loop flux at multiple frequencies allows simultaneous Hamiltonian and dissipation engineering, with coupling strengths on the order of tens of MHz. The modular design paves the way towards natural extensions of such schemes to multipartite entanglement stabilization. [1] E. Doucet, F. Reiter, L. Ranzani, A. Kamal. arXiv:1810.03631 (2019).
–
Presenters
-
Tristan Brown
Univ of Mass - Lowell & Raytheon BBN Technologies, Univ of Mass - Lowell
Authors
-
Tristan Brown
Univ of Mass - Lowell & Raytheon BBN Technologies, Univ of Mass - Lowell
-
Emery Doucet
Univ of Mass - Lowell
-
Florentin Reiter
ETH Zurich, Institute for Quantum Electronics, ETH Zürich, Institute for Quantum Electronics, ETH Zurich
-
Raymond W Simmonds
National Institute of Standards and Technology Boulder, National Institute of Standards and Technology, Physics Measurement Lab, National Institute of Standards and Technology
-
Jose Aumentado
National Institute of Standards and Technology Boulder, National Institute of Standards and Technology, Physics Measurement Lab, National Institute of Standards and Technology
-
Diego Ristè
Raytheon BBN Technologies, BBN Technology - Massachusetts
-
Leonardo M Ranzani
Raytheon BBN Technologies
-
Archana Kamal
Univ of Mass - Lowell, University of Massachusetts Lowell