Non-Local Quantum Interactions Using Trapped Ions and Integrated Photonics
Abstract
Trapped ions are the leading qubit system for quantum information processing. They possess both long coherence times and high-fidelity two-qubit Coulomb gates between all ions in the trap. They are also ideal sources of indistinguishable photons that can be entangled with quantum memory, which is essential for distributing quantum coherence. But processing these photons with high efficiency and fidelity remains a key challenge in quantum information. Integrated photonic structures are uniquely suited for this application because they combine many tunable components on a compact semiconductor chip, enabling complex photonic circuits that are unattainable using free-space optics. These circuits can apply unitary operations to photons emitted from many ions, opening up the possibility to study quantum physics on a completely new scale. Nevertheless, the integration of trapped ions with photonics integrated circuits remains largely unexplored. In this proposal we will combined trapped ions with integrated photonics to create large-scale quantum photonic circuits. We will co-trap multiple ion species in the same trap to create both stable quantum memory and efficient photon emission. We will couple emitted photons to integrated photonic circuits based on SiN, a low-loss optical material with ahigh index of refraction. We will use these circuits to study quantum random walks of multiple photons in a photonic circuit, which have important applications in quantum search, boson sampling, and studying localization effects. We will also use photonic circuits to mediate long-range interactions between many trapped ions to generate large-scale non-local entanglement. The use of quantum random walks to distribute entanglement is largely unexplored and could play an important role in quantum networks and quantum computers.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 29, 2022
- Accession Number
- AD1230777
Entities
People
- Edo Waks
Organizations
- University of Maryland