The Experts below are selected from a list of 225 Experts worldwide ranked by ideXlab platform

Peter Maunz - One of the best experts on this subject based on the ideXlab platform.

  • Scalable digital hardware for a trapped ion quantum computer
    Quantum Information Processing, 2016
    Co-Authors: Emily Mount, Daniel Gaultney, Geert Vrijsen, Michael Adams, So-young Baek, Kai Hudek, Louis Isabella, Stephen Crain, Andre Rynbach, Peter Maunz
    Abstract:

    Many of the challenges of scaling quantum computer hardware lie at the interface between the qubits and the Classical Control signals used to manipulate them. Modular ion trap quantum computer architectures address scalability by constructing individual quantum processors interconnected via a network of quantum communication channels. Successful operation of such quantum hardware requires a fully programmable Classical Control System capable of frequency stabilizing the continuous wave lasers necessary for loading, cooling, initialization, and detection of the ion qubits, stabilizing the optical frequency combs used to drive logic gate operations on the ion qubits, providing a large number of analog voltage sources to drive the trap electrodes, and a scheme for maintaining phase coherence among all the Controllers that manipulate the qubits. In this work, we describe scalable solutions to these hardware development challenges.

  • Scalable Digital Hardware for a Trapped Ion Quantum Computer
    arXiv: Quantum Physics, 2015
    Co-Authors: Emily Mount, Daniel Gaultney, Geert Vrijsen, So-young Baek, Kai Hudek, Louis Isabella, Stephen Crain, Michael D. Adams, Andre Van Rynbach, Peter Maunz
    Abstract:

    Many of the challenges of scaling quantum computer hardware lie at the interface between the qubits and the Classical Control signals used to manipulate them. Modular ion trap quantum computer architectures address scalability by constructing individual quantum processors interconnected via a network of quantum communication channels. Successful operation of such quantum hardware requires a fully programmable Classical Control System capable of frequency stabilizing the continuous wave lasers necessary for trapping and cooling the ion qubits, stabilizing the optical frequency combs used to drive logic gate operations on the ion qubits, providing a large number of analog voltage sources to drive the trap electrodes, and a scheme for maintaining phase coherence among all the Controllers that manipulate the qubits. In this work, we describe scalable solutions to these hardware development challenges.

Emily Mount - One of the best experts on this subject based on the ideXlab platform.

  • Scalable digital hardware for a trapped ion quantum computer
    Quantum Information Processing, 2016
    Co-Authors: Emily Mount, Daniel Gaultney, Geert Vrijsen, Michael Adams, So-young Baek, Kai Hudek, Louis Isabella, Stephen Crain, Andre Rynbach, Peter Maunz
    Abstract:

    Many of the challenges of scaling quantum computer hardware lie at the interface between the qubits and the Classical Control signals used to manipulate them. Modular ion trap quantum computer architectures address scalability by constructing individual quantum processors interconnected via a network of quantum communication channels. Successful operation of such quantum hardware requires a fully programmable Classical Control System capable of frequency stabilizing the continuous wave lasers necessary for loading, cooling, initialization, and detection of the ion qubits, stabilizing the optical frequency combs used to drive logic gate operations on the ion qubits, providing a large number of analog voltage sources to drive the trap electrodes, and a scheme for maintaining phase coherence among all the Controllers that manipulate the qubits. In this work, we describe scalable solutions to these hardware development challenges.

  • Scalable Digital Hardware for a Trapped Ion Quantum Computer
    arXiv: Quantum Physics, 2015
    Co-Authors: Emily Mount, Daniel Gaultney, Geert Vrijsen, So-young Baek, Kai Hudek, Louis Isabella, Stephen Crain, Michael D. Adams, Andre Van Rynbach, Peter Maunz
    Abstract:

    Many of the challenges of scaling quantum computer hardware lie at the interface between the qubits and the Classical Control signals used to manipulate them. Modular ion trap quantum computer architectures address scalability by constructing individual quantum processors interconnected via a network of quantum communication channels. Successful operation of such quantum hardware requires a fully programmable Classical Control System capable of frequency stabilizing the continuous wave lasers necessary for trapping and cooling the ion qubits, stabilizing the optical frequency combs used to drive logic gate operations on the ion qubits, providing a large number of analog voltage sources to drive the trap electrodes, and a scheme for maintaining phase coherence among all the Controllers that manipulate the qubits. In this work, we describe scalable solutions to these hardware development challenges.

Daniel Gaultney - One of the best experts on this subject based on the ideXlab platform.

  • Scalable digital hardware for a trapped ion quantum computer
    Quantum Information Processing, 2016
    Co-Authors: Emily Mount, Daniel Gaultney, Geert Vrijsen, Michael Adams, So-young Baek, Kai Hudek, Louis Isabella, Stephen Crain, Andre Rynbach, Peter Maunz
    Abstract:

    Many of the challenges of scaling quantum computer hardware lie at the interface between the qubits and the Classical Control signals used to manipulate them. Modular ion trap quantum computer architectures address scalability by constructing individual quantum processors interconnected via a network of quantum communication channels. Successful operation of such quantum hardware requires a fully programmable Classical Control System capable of frequency stabilizing the continuous wave lasers necessary for loading, cooling, initialization, and detection of the ion qubits, stabilizing the optical frequency combs used to drive logic gate operations on the ion qubits, providing a large number of analog voltage sources to drive the trap electrodes, and a scheme for maintaining phase coherence among all the Controllers that manipulate the qubits. In this work, we describe scalable solutions to these hardware development challenges.

  • Scalable Digital Hardware for a Trapped Ion Quantum Computer
    arXiv: Quantum Physics, 2015
    Co-Authors: Emily Mount, Daniel Gaultney, Geert Vrijsen, So-young Baek, Kai Hudek, Louis Isabella, Stephen Crain, Michael D. Adams, Andre Van Rynbach, Peter Maunz
    Abstract:

    Many of the challenges of scaling quantum computer hardware lie at the interface between the qubits and the Classical Control signals used to manipulate them. Modular ion trap quantum computer architectures address scalability by constructing individual quantum processors interconnected via a network of quantum communication channels. Successful operation of such quantum hardware requires a fully programmable Classical Control System capable of frequency stabilizing the continuous wave lasers necessary for trapping and cooling the ion qubits, stabilizing the optical frequency combs used to drive logic gate operations on the ion qubits, providing a large number of analog voltage sources to drive the trap electrodes, and a scheme for maintaining phase coherence among all the Controllers that manipulate the qubits. In this work, we describe scalable solutions to these hardware development challenges.

Geert Vrijsen - One of the best experts on this subject based on the ideXlab platform.

  • Scalable digital hardware for a trapped ion quantum computer
    Quantum Information Processing, 2016
    Co-Authors: Emily Mount, Daniel Gaultney, Geert Vrijsen, Michael Adams, So-young Baek, Kai Hudek, Louis Isabella, Stephen Crain, Andre Rynbach, Peter Maunz
    Abstract:

    Many of the challenges of scaling quantum computer hardware lie at the interface between the qubits and the Classical Control signals used to manipulate them. Modular ion trap quantum computer architectures address scalability by constructing individual quantum processors interconnected via a network of quantum communication channels. Successful operation of such quantum hardware requires a fully programmable Classical Control System capable of frequency stabilizing the continuous wave lasers necessary for loading, cooling, initialization, and detection of the ion qubits, stabilizing the optical frequency combs used to drive logic gate operations on the ion qubits, providing a large number of analog voltage sources to drive the trap electrodes, and a scheme for maintaining phase coherence among all the Controllers that manipulate the qubits. In this work, we describe scalable solutions to these hardware development challenges.

  • Scalable Digital Hardware for a Trapped Ion Quantum Computer
    arXiv: Quantum Physics, 2015
    Co-Authors: Emily Mount, Daniel Gaultney, Geert Vrijsen, So-young Baek, Kai Hudek, Louis Isabella, Stephen Crain, Michael D. Adams, Andre Van Rynbach, Peter Maunz
    Abstract:

    Many of the challenges of scaling quantum computer hardware lie at the interface between the qubits and the Classical Control signals used to manipulate them. Modular ion trap quantum computer architectures address scalability by constructing individual quantum processors interconnected via a network of quantum communication channels. Successful operation of such quantum hardware requires a fully programmable Classical Control System capable of frequency stabilizing the continuous wave lasers necessary for trapping and cooling the ion qubits, stabilizing the optical frequency combs used to drive logic gate operations on the ion qubits, providing a large number of analog voltage sources to drive the trap electrodes, and a scheme for maintaining phase coherence among all the Controllers that manipulate the qubits. In this work, we describe scalable solutions to these hardware development challenges.

So-young Baek - One of the best experts on this subject based on the ideXlab platform.

  • Scalable digital hardware for a trapped ion quantum computer
    Quantum Information Processing, 2016
    Co-Authors: Emily Mount, Daniel Gaultney, Geert Vrijsen, Michael Adams, So-young Baek, Kai Hudek, Louis Isabella, Stephen Crain, Andre Rynbach, Peter Maunz
    Abstract:

    Many of the challenges of scaling quantum computer hardware lie at the interface between the qubits and the Classical Control signals used to manipulate them. Modular ion trap quantum computer architectures address scalability by constructing individual quantum processors interconnected via a network of quantum communication channels. Successful operation of such quantum hardware requires a fully programmable Classical Control System capable of frequency stabilizing the continuous wave lasers necessary for loading, cooling, initialization, and detection of the ion qubits, stabilizing the optical frequency combs used to drive logic gate operations on the ion qubits, providing a large number of analog voltage sources to drive the trap electrodes, and a scheme for maintaining phase coherence among all the Controllers that manipulate the qubits. In this work, we describe scalable solutions to these hardware development challenges.

  • Scalable Digital Hardware for a Trapped Ion Quantum Computer
    arXiv: Quantum Physics, 2015
    Co-Authors: Emily Mount, Daniel Gaultney, Geert Vrijsen, So-young Baek, Kai Hudek, Louis Isabella, Stephen Crain, Michael D. Adams, Andre Van Rynbach, Peter Maunz
    Abstract:

    Many of the challenges of scaling quantum computer hardware lie at the interface between the qubits and the Classical Control signals used to manipulate them. Modular ion trap quantum computer architectures address scalability by constructing individual quantum processors interconnected via a network of quantum communication channels. Successful operation of such quantum hardware requires a fully programmable Classical Control System capable of frequency stabilizing the continuous wave lasers necessary for trapping and cooling the ion qubits, stabilizing the optical frequency combs used to drive logic gate operations on the ion qubits, providing a large number of analog voltage sources to drive the trap electrodes, and a scheme for maintaining phase coherence among all the Controllers that manipulate the qubits. In this work, we describe scalable solutions to these hardware development challenges.