Purdue University is hiring:
Postdoctoral Research Associate in Quantum Machine Learning
@tenuretracker.bsky.social
@tenuretracker.bsky.socialPurdue University is hiring:
Postdoctoral Research Associate in Quantum Machine Learning
@informaq.bsky.socialWe establish the theoretical conditions under which reset-window quantum extreme learning machines can emulate quantum reservoir computers by analyzing when recent inputs contain sufficient historical information for accurate outputs.
@informaq.bsky.socialJeongho Bang established η≃0.11 security threshold for BB84 protocol, linking PAC learning with quantum key distribution. This creates verifiable security conditions for quantum-protected machine learning within practical sample budgets.
@informaq.bsky.socialSQC's Watermelon chip achieves 20% improvement in energy grid forecasting using quantum-classical hybrid methods, demonstrating practical quantum computing deployment alongside classical infrastructure.
@citicresearch.bsky.social⚛️ Eduardo Mosqueira, subdirector do #CITIC DA @udc.gal , participou no Congreso Brasileiro de Ciencias e Tecnoloxías Cuánticas #CBCTQ 2026, cun curso sobre Quantum Machine Learning e na mesa redonda "Força de trabalho"
@mlscientist.bsky.socialUVSQ, Université Paris-Saclay is offering a PhD position in QML-based Intrusion Detection System for 3GPP 6G traffic, focusing on Quantum Machine Learning as an alternative...
@informaq.bsky.socialQuantumNet presented quantum convolutional neural networks for detecting road surface anomalies like cracks and potholes, advancing quantum machine learning applications in infrastructure monitoring.
@informaq.bsky.socialHybrid quantum-classical federated learning achieves 87.57% accuracy using only 12 trainable parameters versus 1,002+ for classical alternatives, enabling privacy-preserving multi-party ML without centralizing raw data.
@mlscientist.bsky.socialTelecom Paris is seeking a highly qualified candidate for a 3-year tenure-track Associate Professor position in Quantum Machine Learning...
@informaq.bsky.socialDemonstrates quantum reservoir computing on D-Wave's 4,500-qubit annealer, achieving chaotic time-series forecasting without expensive training loops. Proves many-body interactions essential for quantum memory in temporal processing.
@informaq.bsky.socialHybrid quantum-classical architecture achieves 99.31% parameter reduction for object detection while maintaining equivalent performance through topology-controlled entanglement and Hilbert space partitioning on an 8-qubit system.
@informaq.bsky.socialDOS-QPE introduces quantum phase estimation on purified probes to extract density-of-states features for signed graphs, predicting structural frustration with 0.4 mean error while reducing quantum shots by 100x versus trace sampling.
@informaq.bsky.socialSEA Quantum presented quantum machine learning research at AQIS 2026 and conducted three 3-day workshops on Quantum Communication and Quantum Sensing with Malaysian universities, strengthening international quantum collaboration.