Modular entanglement of atomic qubits using photons and phonons

By D. Hucul, I. V. Inlek, G. Vittorini, C. Crocker, Shantanu Debnath, S. Clark, Christopher R. Monroe. Nature Physics, 2014

327 citations recorded by the source corpus.

Many quantum protocols require fast, remote entanglement generation to outperform their classical counterparts. A modular solution is now reported, using trapped ions that are remotely entangled through photons. Quantum entanglement is the central resource behind quantum information science, from quantum computation and simulation1,2 to enhanced metrology3 and secure communication1. These applications require the quantum control of large networks of qubits to realize gains and speed increases over conventional devices. However, propagating entanglement becomes difficult or impossible as the system grows in size. Here, we demonstrate the first step in a modular approach4 to scaling entanglement by using complementary quantum buses on a collection of three atomic ion qubits stored in two remote ion trap modules. Entanglement within a module is achieved with deterministic near-field interactions through phonons5, and remote entanglement between modules is achieved with a probabilistic interaction through photons6. This minimal system allows us to address generic issues in the synchronization of entanglement with multiple buses. It points the way towards a modular large-scale quantum information architecture that promises less spectral crowding and thus potentially less decoherence as the number of qubits increases4. We generate this modular entanglement faster than the observed remotely entangled qubit-decoherence rate, showing that entanglement can be scaled simply by adding more modules.

Subfields: Artificial Intelligence, Atomic and Molecular Physics, and Optics

View Paper: https://www.semanticscholar.org/paper/01d8b233b244318ecb7e9ebe79c06eda9552f179

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

  1. Steven M. Girvin
  2. Robert J. Schoelkopf
  3. Göran Wendin
  4. Michel H. Devoret
  5. Franco Nori
  6. Mikhail D. Lukin
  7. Liang Jiang
  8. Luigi Frunzio

In Atomic and Molecular Physics, and Optics

  1. Steven M. Girvin
  2. Robert J. Schoelkopf
  3. Franco Nori
  4. Mikhail D. Lukin
  5. Michel H. Devoret
  6. Göran Wendin
  7. Dirk Englund
  8. Ronald Hanson

Citations in the corpus