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Dual-Species Architecture Research

Research into multi-species neutral atom platforms combining different atomic species for enhanced quantum computing capabilities.

Research Focus​

This research thrust explores dual-species qubit encodings using combinations such as sodium-cesium (Na-Cs) and rubidium-ytterbium (Rb-Yb), enabling new functionalities including ancilla-based error correction and improved coherence properties.

Selected Publications​

Ultracold Polar Molecules for Quantum Computing​

Science (2023)

K.-K. Ni et al.

Explores the potential of ultracold polar molecules formed from dual-species atomic mixtures for quantum simulation and computation, with tunable long-range interactions.

Quantum Gas Microscopy of Fermionic Atoms​

Development of quantum gas microscopy techniques for multiple atomic species, enabling site-resolved imaging and manipulation.

Controlling Individual Atoms with Optical Tweezers​

Precision control of multiple atomic species in shared tweezer arrays, demonstrating species-selective manipulation for quantum information processing.

Technical Background​

Dual-species architectures offer several advantages for quantum computing:

  • Ancilla qubits: One species can serve as error-detecting ancillas while the other stores quantum information
  • Enhanced isolation: Different transition frequencies reduce crosstalk between qubit types
  • New gate mechanisms: Inter-species interactions enable novel two-qubit gate implementations

Principal Investigators​

Kang-Kuen Ni (Harvard University) Ni Group Website

Giulia Semeghini (Harvard University) Semeghini Lab Website