Scalable Trapped Ion Quantum Computation with a Probabilistic Ion-Photon Mapping
L.-M. Duan, B. B. Blinov, D. L. Moehring, C. Monroe
TL;DR
This paper introduces a scalable approach for large-scale trapped ion quantum computing and communication using probabilistic ion-photon mapping, enabling remote deterministic gates via photon detection and local ion interactions.
Contribution
It presents a novel probabilistic ion-photon mapping technique to scale trapped ion systems for quantum computation and communication.
Findings
Analysis of gate speeds under different schemes
Assessment of noise tolerance in probabilistic entanglement
Feasibility of remote deterministic gates
Abstract
We propose a method for scaling trapped ions for large-scale quantum computation and communication based on a probabilistic ion-photon mapping. Deterministic quantum gates between remotely located trapped ions can be achieved through detection of spontaneously-emitted photons, accompanied by the local Coulomb interaction between neighboring ions. We discuss gate speeds and tolerance to experimental noise for different probabilistic entanglement schemes.
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Taxonomy
TopicsQuantum Information and Cryptography · Quantum Computing Algorithms and Architecture · Neural Networks and Reservoir Computing