QubitONeuronPrivate Limited
A multidisciplinary group working across physics, computational biology, artificial intelligence, quantum-inspired computing and scientific software.
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.
Computational scientist specialising in data-driven therapeutics, 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.
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 therapeutics, intelligent infrastructure, and scalable computational systems. His work bridges advanced quantum methods with robust software engineering for real-world scientific applications.
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 therapeutic research.
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.
We are hiring, collaborating and raising. If any of that sounds like you, say hello.