Quantum Conversations VIII: Sigmoid and Quantum Machine Learning on IBM Q

Описание: ai.bythebay.io Nov 2025, Oakland, full-stack AI conference Ashish Heda works as the Vice President (Data Science and AI/ML) at Sigmoid Analytics with 14+ years of experience in Data Science and consulting, and Masters in Mathematics and Scientific Computing from IIT-Kanpur, India. He did his internship in Quantum Computing at University of Rennes, IRMAR, France on the topic of “Quantum Random Walks” in 2005. Topics to cover: Quantum Random Walks and application in text search algorithms

Bhaskar Ammu is a Senior Data Scientist at Sigmoid. He specializes in designing data science solutions for clients, building database architectures, and managing projects and teams. Topics to cover: Exploring quantum machine learning algorithms in IBM qiskit library

Amit Patidar is a Data Scientist at Sigmoid. He works with data and application of Machine Learning algorithms. Currently, he is focusing on Quantum Machine Learning, Recommendation Systems and Big Data architecture. Topics to cover: Implementation of Q-SVM

Aniruddh Rawat is a Data Scientist at Sigmoid. He works with data and application of Machine Learning algorithms. Currently, he is focusing on Quantum Machine Learning, Recommendation Systems. Topics to cover: Implementation of Q-GANs