IBM and IIT Collaboration in India
IBM (International Business Machines), and IIT (Indian Institute of Technology) Madras have joined forces to promote quantum computing research & talent development in India.
With this collaboration and the letters of agreement, IIT becomes the latest member of the IBM Quantum Network, which comprises of more than 180 organizations. Additionally, IIT Madras is the first Indian university to become the latest member of an international network comprising of academic institutions, startups, Fortune 500 corporations, and research labs exploring quantum computing and investigating business application cases through the use of IBM Quantum Technology.
Leading this collaboration are the managing director of IBM India: Sandip Patel and the director of the Indian Institute of Technology Madras: Prof. Kamakoti Veezhinathan.
This latest collaboration will further engender future collaboration between potential businesses to research and exploit quantum in areas such as logistics, supply chain improvements and financial data modelling.
Quantum computing has infinite opportunities and potentials which could also be exploited in other industries such as chemistry, energy finance, machine learning, materials science, optimization and space exploration.
Enjoying the fruits of the collaboration requires IIT Madras to connect to the advanced quantum computing device of IBM through the cloud.
IIT Madras’ quest for the development and expansion of the quantum computing ecosystem in India is not limited to IBM Quantum Service. The institute’s Centre for Quantum information, Communications and Computing CQuICC will combine the IBM Quantum Service with an open source Qiskit framework to explore certain topics which include quantum algorithms, quantum chemistry, quantum error correction, quantum machine learning, and quantum tomography.
The said Qiskit runtime is a recent innovation from IBM. This quantum computing service and programming model runs on IBM cloud and allows users to optimize workloads and efficiently execute them on quantum systems at scale.