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UID:67ed2ca6-1f48-4583-8f10-ffd2bbd2326f@nexttoyou
DTSTAMP:20261105T151453Z
DTSTART:20261106T160000Z
DTEND:20261106T170000Z
SUMMARY:Physics Seminar: “Toward Reliable Quantum Sensing and Networking w
 ith Physics-Informed Edge Intelligence”
LOCATION:Science Complex Room 1230\, 7801 York Rd Towson MD 21252
DESCRIPTION:Speaker: Dr. Anik Mallik\, Assistant Professor\, Department of
  Computer & Information Sciences.\nAnik Mallik also is a Jess & Mildred F
 isher Endowed Professor and a Faculty Lead at the Towson University AI In
 stitute.\n\nAbstract: Quantum technology is slowly moving toward real dep
 loyment in computing\, sensing\, and communication systems beyond physics
  laboratories. Quantum networks offer secure and trustworthy distributed 
 quantum computation by sharing entangled states between distant nodes. Ho
 wever\, quantum states are extremely fragile. Noise\, decoherence\, and t
 he no-cloning theorem make it difficult to sense\, store\, and route quan
 tum information reliably in the real world.\n\nThis talk argues that phys
 ics-informed edge intelligence can bridge the gap between fragile quantum
  hardware and practical\, trustworthy quantum networks. To build the foun
 dation\, first\, the core concepts of quantum computing will be introduce
 d in this talk\, including qubits\, superposition\, entanglement\, interf
 erence\, measurement\, and the no-cloning theorem. Then the key component
 s of quantum networks will be discussed\, such as quantum sensors\, quant
 um memories\, and quantum repeaters\, along with entanglement swapping\, 
 purification\, and routing. Afterward\, a lightweight physics-constrained
  machine learning framework will be presented\, which denoises quantum se
 nsor data at the edge without generating physically impossible outputs\, 
 and adapts to aging and drifting hardware without retraining in the cloud
 . In addit\n\nhttp://next-to-u.app/events/67ed2ca6-1f48-4583-8f10-ffd2bbd
 2326f
URL:http://next-to-u.app/events/67ed2ca6-1f48-4583-8f10-ffd2bbd2326f
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