22 April 2026 — Day 3
Session 1
| Talk 1: 09:00 – 09:30 |
Building a Scalable Trapped-Ion Quantum Computing Platform: Surface Traps, 5-Qubit Control, and Photonic Interconnect |
| Prof Taehyun Kim |
| Seoul National University |
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Abstract: Trapped-ion systems are among the leading platforms for quantum computing because of their long coherence times, high-fidelity operations, and flexible qubit connectivity. Realizing scalable quantum processors, however, requires progress not only in qubit control but also in trap-chip fabrication, system integration, integrated photonics, and modular networking. In this talk, I will present our recent efforts toward a scalable trapped-ion quantum computing platform built on microfabricated surface traps, multi-qubit control, and photonic technologies. |
| Talk 2: 09:30 – 10:00 |
Architecting Scalable Quantum Computers with Ion Shuttling |
| Prof Junki Kim |
| Sungkyunkwan University |
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Abstract: There has been significant progress in building trapped-ion quantum computers with dozens of ion qubits; however, a clear blueprint for a fully fault-tolerant, large-scale system remains elusive. In this talk, I present a Shuttling-based Distributed Quantum Computing (SDQC) architecture that combines deterministic qubit shuttling with distributed entanglement to interconnect multiple processor nodes while keeping data qubits stationary. Through comprehensive architecture-level modeling with realistic error and timing assumptions, we show that SDQC enables near scale-independent logical clock speeds via aggressive pipelining and achieves competitive logical error rates under fault-tolerant operation compared to conventional QCCD and photonic distributed approaches in large-scale regimes. We further assess application-level performance, including QLDPC problem and Fermi–Hubbard simulations, demonstrating efficient execution in terms of overall runtime and success probability with moderate space–time overhead. These results highlight the critical role of architectural co-design in shaping the scalability and practical performance of future large-scale ion-trap quantum computers. [1] S. Baek, S.-H. Lee, D. Min, and J. Kim, arXiv:2512.02890 |
Session 2
| Talk 3: 10:30 – 11:00 |
Quantum Simulation and Lindbladian Learning on a Trapped-Ion Quantum Simulator |
| Prof Manoj Joshi |
| IQOQI Innsbruck & Singapore University of Technology and Design (SUTD) |
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Abstract: Quantum simulators and quantum computers are progressing toward solving complex problems in science. Trapped ions are one of the key platforms, offering unprecedented qubit control. At this conference, I will present recent advancements in quantum simulation using long ion chains in a radio-frequency trap in Innsbruck. In particular, I will discuss Hamiltonian and Liouvillian learning (Lindbladian learning) techniques used to quantitatively validate experimentally implemented Hamiltonians in trapped-ion systems. For this purpose, a broad set of ansatz terms is incorporated into the analysis to identify the Hamiltonian that best captures the observed dynamics. Once the optimal candidate is determined, statistical noise and estimation bias are carefully analyzed to obtain reliable estimates of the Hamiltonian parameters. These studies are carried out on a trapped-ion quantum simulator consisting of ion strings with up to N=51 ions. I will also present a practical perspective on Hamiltonian learning methods and their role in establishing trust in analog quantum simulations. Furthermore, I will discuss potential future research directions for my group in Singapore using trapped ions. |
| Talk 4: 11:00 – 11:30 |
Towards a full stack quantum computer based on trapped ion platform |
| Dr Pei Jiang Low |
| Centre for Quantum Technologies, NUS |
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Abstract: Trapped ion quantum computing features advantages such as good gate fidelities, all-to-all qubit connectivity and the ability to operate in room temperature over other quantum computing platforms. Conventionally, trapped ion quantum computers are built in a laser lab environment, where the hardware setup takes up a large space – typically spanning one or multiple optical tables, which one may argue is one of the downsides of the trapped ion platform. In this work, we engineer a compact and modular trapped ion quantum computer setup that is rack-mountable to a standard 19-inch rack. This makes the size of the quantum machine compatible with high-performance computing (HPC) facilities. In this talk, I will present the features and the engineering work of our quantum machine. In addition, I will also present a preliminary study of a new method for improving quantum measurement performance with barium ions, which eliminates the noise from background scattering of lasers. |
| Talk 5: 11:30 – 12:00 |
Bosonic Non-linearity with Trapped Ions |
| Nigel Lee |
| Centre for Quantum Technologies, NUS |
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Abstract: Mechanical oscillators represented by the bosonic motional modes of trapped ions are a promising candidate to realize continuous-variable quantum information processing. However, universal control of these modes require non-linear operations, such as cubic phase gates, which are challenging to implement on trapped ions. Here, we report the experimental implementation of the approximate cubic phase gate evolution by applying a series of spin dependent displacement pulses to a single mode of motion [1]. [1] K. Park and R. Filip, npj Quantum Inf 10 (2024). This project is supported by the National Research Foundation, Singapore through the National Quantum Office, hosted in A*STAR, under its Centre for Quantum Technologies Funding Initiative (S24Q2d0009) and Quantum Engineering Programme (NRF2021-QEP2-02-P08). |