QubitONeuron Private Limited
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A multidisciplinary group working across physics, computational biology, artificial intelligence, quantum-inspired computing and advanced scientific software.
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Researcher working at the intersection of physics, AI, machine learning and quantum-inspired computing, developing scalable computational methods for complex scientific problems. His work focuses on translating ideas from physics and intelligent systems into practical algorithms and emerging computational technologies.
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Computational scientist specialising in data-driven drug discovery, molecular modelling and AI for biomolecular systems. His work integrates biophysical chemistry, molecular simulation and machine learning to understand biomolecular interactions and support the design and optimisation of therapeutic candidates.
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Quantum computing researcher with 7 years of experience across quantum algorithms, quantum AI, and quantum-inspired computing. He focuses on developing advanced computational methods that bridge quantum principles with AI, optimisation, and scalable real-world applications.
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Quantum-native architect specialising in QML, AI/ML and quantum algorithm development, with hands-on work across QAOA, VQC and QAE architectures. At QubitONeuron, he focuses on quantum-inspired drug discovery, intelligent infrastructure, and scalable computational systems. His work bridges advanced quantum methods with robust software engineering for real-world scientific applications.
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With an MSc in Zoology, Archana supports biological research through biological model analysis, scientific literature exploration, and evidence-driven research synthesis. Her work helps connect emerging biological insights with computational research and discovery.
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Computational biologist working across structural bioinformatics, molecular modelling and AI-driven drug discovery. His research focuses on protein–protein and protein–ligand interactions using molecular dynamics, coarse-grained modelling and molecular docking. He works on integrating computational biology with AI to support faster and more informed therapeutic discovery.
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Quantum computing researcher working on AI-assisted quantum error correction in variational quantum circuits. Her interests span quantum algorithms, intelligent error-mitigation strategies, and the development of practical quantum technologies. She is focused on applying quantum computing to meaningful real-world problems.