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Scalable solid-state quantum processor using subradiant two-atom states.

David Petrosyan1, Gershon Kurizki

  • 1Department of Chemical Physics, Weizmann Institute of Science, Rehovot 76100, Israel.

Physical Review Letters
|November 22, 2002
PubMed
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We introduce a novel quantum processor using effective dimers as qubits, enabling scalable, high-performance quantum computation. Entanglement is achieved through excitation exchange or laser mediation in solid-state systems.

Area of Science:

  • Quantum computing
  • Solid-state physics
  • Quantum information science

Background:

  • Quantum processors require scalable and high-performance qubit architectures.
  • Controlling interactions between qubits is crucial for entanglement.
  • Solid-state systems offer potential for miniaturization and integration.

Purpose of the Study:

  • To propose a novel realization of a scalable, high-performance quantum processor.
  • To utilize effective dimers formed by two-level systems as qubits.
  • To explore methods for achieving two-qubit entanglement within this architecture.

Main Methods:

  • Qubits are realized using ground and subradiant states of effective dimers.
  • Dimers are pairs of two-level systems coupled by resonant dipole-dipole interaction.

Related Experiment Videos

  • Dimers are implanted in a low-temperature solid host material at controllable nanoscale separations.
  • Main Results:

    • Demonstrates a pathway to scalable quantum processor realization.
    • Highlights the role of resonant dipole-dipole interaction in qubit coupling.
    • Proposes two distinct mechanisms for achieving two-qubit entanglement: coherent excitation exchange and laser-mediated interaction.

    Conclusions:

    • The proposed system offers a promising route for building scalable, high-performance quantum processors.
    • The use of effective dimers in solid-state hosts provides a controllable platform for quantum information processing.
    • The demonstrated entanglement strategies are key for advancing quantum computation.