SYMPOSIUM ON QUANTUM MACHINE LEARNING

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The Center for Emerging Business Technologies (CEBT) - School of Business and Management (MBA) organized a conference on Quantum Machine Learning in CHRIST (Deemed to be University), Pune Lavasa Campus on 23rd October 2021 at 4:00 PM. The computing paradigm is opening up new frontiers in computing, communications, cybersecurity, and business applications. Players like Google, Microsoft, D-wave, Aliro Quantum, and Cambridge Quantum computing, to name a few, are working on different aspects of Quantum Computing. The Government of India, in its budget of 2020, has allocated Rs 8000 Cr, for five years, to the National Mission on Quantum Technologies & Applications (NM-QTA) to be implemented by the Department of Science & Technology (DST).


Center for Emerging Business Technologies (CEBT), hosted by the School of Business and Management (MBA) in collaboration with QWorld and QIndia, organized a one-day symposium on Quantum Machine Learning on 24th October 2021. This conference intends to bridge the gap between the science of Quantum Computing and the Business World. It aims to bring together quantum professionals, researchers, educators, entrepreneurs, champions, and enthusiasts to exchange and share their experiences, challenges, research results, innovations, applications, pathways, and enthusiasm on all aspects of quantum computing.

Dr Amlan Chakrabarti talked about the superiority of quantum computers, which lies in information processing power over classical counterparts. Quantum computers' use case could involve immediately defeating standard encryption technologies rendering them obsolete, comparing new pharmaceuticals for testing within seconds giving a significant speed-to-market advantage and increasing the speed of trading and transactions, putting challenges to regulators to monitor security activities effectively. The intrinsic features of quantum machines like superposition, interference, and entanglement promise to initiate a new platform of the computing paradigm, which can be called "Quantum Intelligence."

Mr Manish Gupta demonstrated that with the recent success of artificial neural networks and the emergence of Near Intermediate Scale Quantum computers a new field of quantum machine learning was established. There is hope that quantum computers will be able to build better and faster machine learning models. Oskar Słowik talked about Variational quantum algorithms (VQAs), which is a class of hybrid quantum/classical algorithms proposed to solve some optimization problems on Noisy Intermediate-Scale Quantum devices.


Kavitha Yogaraj showed the use case of QML for Classification using Quantum Neural Networks (QNN) & Torch Connector and how to use parameterized Quantum Circuits & Torch Connector class from Qiskit Machine Learning into a PyTorch workflow. Mr Antal Szavax explained how to achieve Quantum Superiority-Penny Lane integrates with multiple machine learning libraries and is device-agnostic: it only takes a single line of code to be changed to run the same program on simulators or real quantum hardware.

Total of 180 participants from all over the world have participated in the symposium. The symposium was well received and it certainly would not have been possible without the involvement of the CHRIST Lavasa family members. Ms Gayatri, Mr Yaseen, and Ms Shreyashi for anchoring the talks and the entire CEBT Team conducting the symposium in an extremely professional manner. Able and timely support from Academic Office – Aniket Dhiwar, IT team (Visakh & Abhilash), Johana and Arjun from CDL for the creatives. The faculty coordinators for the above said symposium were Dr Jayant Mahajan and Professor Anshul Saxena.

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