rupayans
Rupayan Bhattacharjee
2024-2027
Doctoral Student
rupayans
Rupayan Bhattacharjee
2024-2027
Doctoral Student
Rupayan Bhattacharjee is a PhD researcher in N3Cat. He is working at the interface of Quantum Computer Architecture and Quantum Machine Learning, specifically, studying the scalability of Quantum Machine Learning Models from algorithmic, architectural and applications perspectives.

Rupayan Bhattacharjee comes from the city of Silchar in India, and grew up watching and reading Sci-Tech and Sci-Fi. Naturally, he was drawn to the world of Physics, which he pursued for both his undergraduate and postgraduate degrees from the Indian Association for the Cultivation of Science, Kolkata. During this time he worked on field theory, accelerator physics, batteries, material science and nanochemistry.

It was during this time that he discovered his true love, the world of Quantum Computing (QC). He pursued courses and programs on quantum computing/ information, and participated in quantum computing hackathons to boost his skill. He worked with a QC startup on the application of near-term quantum algorithms for financial applications, participated in the UCLQ Quantum Tech summer school at UCL, London where he carried out theoretical and experimental work with different quantum technologies. He did an internship on the quantum simulation of biologically relevant chemical reaction kinetics with collaborators at Imperial College London and also interned at Wigner Research Center for Physics, Hungary where he worked on designing and analyzing iterative measurement-based multipartite quantum protocols for quantum information theoretic tasks.

Equipped with his arsenal, he has joined N3Cat to pursue a topic which is very close to his heart, Quantum Machine Learning. When not at work, he can be found cycling or walking near the beaches or mountains of BCN, taking pictures of beautiful places and people, and almost always on LinkedIn ( https://www.linkedin.com/in/rupayan-bhattacharjee-52323b21b/ )

Rupayan Bhattacharjee is a PhD researcher in N3Cat. He is working at the interface of Quantum Computer Architecture and Quantum Machine Learning, specifically, studying the scalability of Quantum Machine Learning Models from algorithmic, architectural and applications perspectives.

Rupayan Bhattacharjee comes from the city of Silchar in India, and grew up watching and reading Sci-Tech and Sci-Fi. Naturally, he was drawn to the world of Physics, which he pursued for both his undergraduate and postgraduate degrees from the Indian Association for the Cultivation of Science, Kolkata. During this time he worked on field theory, accelerator physics, batteries, material science and nanochemistry.

It was during this time that he discovered his true love, the world of Quantum Computing (QC). He pursued courses and programs on quantum computing/ information, and participated in quantum computing hackathons to boost his skill. He worked with a QC startup on the application of near-term quantum algorithms for financial applications, participated in the UCLQ Quantum Tech summer school at UCL, London where he carried out theoretical and experimental work with different quantum technologies. He did an internship on the quantum simulation of biologically relevant chemical reaction kinetics with collaborators at Imperial College London and also interned at Wigner Research Center for Physics, Hungary where he worked on designing and analyzing iterative measurement-based multipartite quantum protocols for quantum information theoretic tasks.

Equipped with his arsenal, he has joined N3Cat to pursue a topic which is very close to his heart, Quantum Machine Learning. When not at work, he can be found cycling or walking near the beaches or mountains of BCN, taking pictures of beautiful places and people, and almost always on LinkedIn ( https://www.linkedin.com/in/rupayan-bhattacharjee-52323b21b/ )