USTC IonQNet Group builds on the long coherence times and high-fidelity quantum control of trapped ions. We study quantum logic gates and phonon control driven by tightly focused light, develop microcavity-based photonic interfaces that combine high efficiency with high bandwidth, and build hybrid quantum networks connecting different physical systems.
Our goal is to bring quantum networks and distributed quantum computing into practical use.
We first demonstrated low-crosstalk addressing with two tightly focused beams, then used the optical Magnus effect to simplify addressed Raman entangling gates to a single-sided geometry, reported in PRL (2025). In-situ aberration correction using an ion probe and coupling to more widely spaced axial modes support our pursuit of low crosstalk, high fidelity and flexible addressing. We are also developing optical-tweezer control of phonon modes to improve gates directly within larger ion crystals.
Explore trapped-ion quantum computing nodes →
We use the small mode volume of short fiber microcavities to enhance ion–cavity coupling and improve photon extraction while retaining the bandwidth needed for networking. Around Ba⁺-ion nodes, we develop fiber-mirror fabrication and mode matching, metal shielding to reduce motional heating, stable locking and rapid tuning, and cavity-assisted probes of ion motion. From fiber-cavity components to trap integration, these capabilities support efficient, broadband interfaces for remote quantum connections.
Explore quantum networking with cavity QED →
Trapped ions offer long coherence and high-fidelity control, while rare-earth-doped crystals provide multimode optical storage. Using polarization-preserving frequency conversion from 369.5 nm to 580 nm, we have established entanglement between a ytterbium ion and a Eu:YSO memory located 75 m apart, in collaboration with the memory team. Quantum-state tomography and a Bell-inequality test characterize this heterogeneous link. We will extend this approach to interfaces between ions and neutral-atom systems, pursuing cooperative distributed quantum computing across physical platforms.