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05-26
2026
Learning to Stabilize Plasma: Provable Imitation Learning for Nuclear Fusion Control
时 间：11:00-12:00, May 26, 2026 (Tue)地 点：RM 1-202, FIT Building内容：Maintaining the stability of magnetically confined plasma is a central challenge on the path toward practical nuclear fusion. When modelled by kinetic Vlasov–Poisson equations, the control problem is particularly difficult due to nonlinearity, sensitivity to initial conditions, and partial observability. Recent advanc...
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05-22
2026
Hybrid Optical Lattice-Tweezer Ytterbium Platform
时 间：16:30-18:00, May 22, 2026 (Fri)地 点：RM S327, MMW Building内容：Optical lattices and tweezers have led to a series of breakthroughs in quantum simulation and computing with cold atoms. However, optical lattices provide excellent scalability but limited local control, whereas optical tweezers allow flexible and precise manipulation of individual atoms but are limited in system size b...
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05-13
2026
钙离子光频标进展
时 间：16:00-17:15, May 13, 2026 (Wed)地 点：RM 1-222, FIT Building内容：冷原子物理和激光技术的发展推动了原子光频的精密谱的进展。由此得到更精确的物理常数，在更高精度检验基本物理规律；并导致新的物理机理的认识和发现。同时推动时间频率标准发展和应用。本报告介绍我们囚禁冷却钙离子光频标研究进展。解决单离子的稳定囚禁和有效冷却、超窄线宽激光研制和实验环境影响（含电、磁、振动、温度等）等关键问题， 2...
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05-12
2026
Space-Efficient Quantum Algorithm for Elliptic Curve Discrete Logarithms with Resource Estimation
时 间：10:30-12:00, May 12, 2026 (Tue)地 点：RM S327, MMW Building内容：Solving the Elliptic Curve Discrete Logarithm Problem (ECDLP) is critical for evaluating the quantum security of widely deployed elliptic-curve cryptosystems. Consequently, minimizing the number of logical qubits required to execute this algorithm is a key object. In implementations of Shor's algorithm, the space comple...
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05-08
2026
Exponential quantum advantage in processing massive classical data
时 间：10:00-11:30, May 8, 2026 (Fri)地 点： RM S527, MMW Building内容：Broadly applicable quantum advantage, particularly in classical data processing and machine learning, has been a fundamental open problem. In this work, we prove that a small quantum computer of polylogarithmic size can perform large-scale classification and dimension reduction on massive classical data by processing sa...
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05-07
2026
Exponential quantum advantage in processing massive classical data
时 间：10:00-11:30, May 8, 2026 (Fri)地 点： RM S527, MMW Building内容：Broadly applicable quantum advantage, particularly in classical data processing and machine learning, has been a fundamental open problem. In this work, we prove that a small quantum computer of polylogarithmic size can perform large-scale classification and dimension reduction on massive classical data by processing sa...