Events During the Week of April 12th through April 19th, 2026
Monday, April 13th, 2026
- No events scheduled
Tuesday, April 14th, 2026
- Atomic Physics Seminar
- System-Level Quantum Networking: Entanglement, Metrology, and Quantum Memory in Deployed Fiber Systems
- Time: 3:00 pm - 4:00 pm
- Place: 5310 Chamberlin Hall
- Speaker: Dr. Jing Su, University of Maryland
- Abstract: We present a system-level approach to quantum networking that integrates entanglement distribution, precision metrology, and quantum memory in deployed fiber environments. Polarization-entangled photons are distributed over stabilized links with active feedback control, achieving high visibility and robust channel uptime. Network-compatible calibration techniques, including synchronized power measurements and remote detector calibration, enable accurate and scalable system characterization. Ancilla-assisted process tomography (AAPT) is employed to characterize quantum processes and quantify channel performance with high fidelity, supporting stable multi-node operation. In parallel, electromagnetically induced transparency (EIT)–based quantum memory in cesium vapor cells is studied, with anti-relaxation coatings significantly improving storage efficiency and coherence time. Together, these results demonstrate a practical and scalable framework for real-world quantum networks.
- Host: Mark Saffman
Wednesday, April 15th, 2026
- No events scheduled
Thursday, April 16th, 2026
- No events scheduled
Friday, April 17th, 2026
- Physics Department Colloquium
- Playing with Quantum Annealers
- Time: 3:30 pm - 4:30 pm
- Place: Chamberlin 2241
- Speaker: Alex Kamenev , FTPI-UMN
- Abstract: Quantum annealers are analog devices designed to implement certain quantum algorithms primarily for solving optimization problems. I will discuss our experimentation with D-Wave (5600 qubits) and Quantinuum (32 qubits) platforms and lessons one can learn from it. I will also talk about using these devices as neural networks trainers and how quantum physics may prove to be useful for AI.
- Host: Alex Levchenko