I am Achutha Rakesh, currently pursuing B.Tech in Mathematics and Computing & M.Tech in Computer Science and Engineering at IIT BHU, Varanasi. My research interests lie in Quantum Information, Quantum Machine Learning, and Quantum Complexity, with experience at top institutions such as RIKEN and Northeastern University. I have contributed to publications in leading journals and conferences and have ranked among the top in competitive exams like GATE and IIT JEE Advanced. Outside academics, I co-founded an EdTech startup, serve as a Mathematics Teacher at Unacademy, and lead wellness initiatives at IIT BHU.
Developed a Quantum Natural Language Processing framework on NISQ-era machines utilizing Variational Quantum Circuits. This pioneering work, supervised by Prof. Devesh Tiwari, was accepted at the prestigious SC24 Conference, renowned for its ∼20% acceptance rate, showcasing its significance in quantum computing advancements.
Designed a Quantum-Enhanced framework for modeling and sampling financial time-series data, focusing on rare event forecasting. This innovative research, supervised by Prof. Paul Griffin, is in advanced stages and being prepared for submission to a leading finance journal, highlighting its potential impact.
Efficient simulation of 1D long-range interacting systems at any temperature, showcasing advanced techniques for quantum many-body physics. The research, supervised by Dr. Tomotaka Kuwahara, is under review for publication in Physical Review Letters and QIP 2025, highlighting its significant impact in the field.
Achieved an overall CPI of 9.44/10, ranking 1st in the department. Developed strong interests in Quantum Information, Quantum Machine Learning, and Quantum Complexity. Excelled in subjects like Computer Vision, Graph Theory, Mathematical Modeling, Cloud Computing, and Advanced Software Engineering, showcasing a robust foundation in both theoretical and applied domains.
Rakesh Achutha, Donghoon Kim, Yusuke Kimura, and Tomotaka Kuwahara. “Efficient Simulation of 1D Long-Range Interacting Systems at Any Temperature”. In: (2024). arXiv: 2409.02819 [quant-ph].
View PublicationDaniel Silver, Aditya Ranjan, Rakesh Achutha, Tirthak Patel, and Devesh Tiwari. “LexiQL: Quantum Natural Language Processing on NISQ-era Machines”. In: Proceedings of the International Conference for High Performance Computing, Networking, Storage, and Analysis. SC ’24. Atlanta, GA, USA: IEEE Press, 2024.
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