Nikita Annt
AI/ML expert and quantitative researcher
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Summary
Interdisciplinary AI/ML and quantitative research practitioner — combines applied machine learning and quantitative methods in engineering and research roles, including work as a coding-agent specialist and quantitative researcher. peerlist+1
Founder and product engineer in neuromodulation and wearable technologies — founded and led Luciding, developing the LucidCatcher wearable and its mobile app, blending hardware, firmware and product development in the sleep/lucid-dreaming space. gust+1
Research lead in quantum networking and EEG applications — runs Diannt.net research lab focusing on quantum teleportation, temporal effects, information clustering, and EEG signal research, producing experimental publications and demonstrations. diannt+1
Teacher and practitioner of contemplative practices — certified meditation teacher and developer of Dream Yoga course content that integrates Shamatha and Vipashyana with neuroscientific perspectives. thinkific+1
Work
Education
Projects
Writing
Quantum Teleportation over Conventional Fiber Networks: Experimental Results and Performance Analysis
May 1, 2025Experimental results demonstrating quantum teleportation with high fidelity across conventional fiber infrastructure, including setup, measurement protocols, and decoherence mitigation techniques.
Temporal Anomalies in Entangled Quantum Networks: Experimental Evidence and Implications
April 1, 2025Paper reporting experimental evidence of non-classical temporal correlations in entangled networks and discussing implications for routing and synchronization.
Emergent Information Clustering in Scaled Quantum Networks: Theory and Simulation
March 1, 2025Theoretical and simulation work modeling emergent information structures in multi-node quantum networks and metrics for cluster formation and stability.
Quantum Information Transfer Efficiency in Hybrid Networks: Metrics and Optimization
February 1, 2025Framework and metrics for quantifying transfer efficiency in hybrid quantum-classical networks, with optimization techniques and experimental validation.