Quantum Computing for Aerospace Engineering: Optimization, Simulation & Machine Learning with Python - Front Cover

Quantum Computing for Aerospace Engineering: Optimization, Simulation & Machine Learning with Python - Back Cover

Quantum Computing for Aerospace Engineering: Optimization, Simulation & Machine Learning with Python

Author(s): Mr. S Kalyan Yadav Dr. Vijaya Kumar R Mr. Gopinath. B Mr. Irfan Khan

775

Language:
English

ISBN13:
9789369269594

ISBN10:
9369269592

Format:
Paperback

Trim:
8.5x11

Pages:
430

Publication date:
27-Apr-2026

Available, Ships in 3-5 days
10 Days Replacement Policy

“Quantum Computing for Aerospace Engineering: Optimization, Simulation & Machine Learning with Python” explores how emerging quantum technologies can transform aerospace design and analysis. The book introduces core quantum concepts and demonstrates their application in solving complex optimization problems, high-fidelity simulations, and advanced machine learning tasks. With practical Python-based examples, it bridges theory and real-world engineering challenges, enabling readers to model aircraft systems, improve performance, and accelerate innovation. Ideal for students, researchers, and professionals, it offers a clear pathway to integrating quantum computing into modern aerospace engineering workflows.

Mr. S Kalyan Yadav

Prof. S. Kalyan Yadav was born in Malur, Kolar district, Karnataka, India. He completed his B.E. in Mechanical Engineering in 2011 from South East Asian College of Engineering & Technology, Bengaluru, affiliated with VTU. He earned his M.Tech in Aeronautical Engineering in 2013 from MVJ College of Engineering, Bengaluru. With over a decade of teaching and research experience, he is currently an Assistant Professor in Aeronautical Engineering at MVJ College of Engineering.

Dr. Vijaya Kumar R

Dr. VIJAYA KUMAR R was born in Kolar district, Karnataka. He is an Assistant Professor in the Department of Aeronautical Engineering at MVJ College of Engineering, Bengaluru. He completed his B.E. in Mechanical Engineering (2007) from Alpha College of Engineering and M.Tech. in Aeronautical Engineering (2009) from MVJ College. He earned his Ph.D. in Aircraft Structures from VTU, Belagavi, in 2020. With over 17 years of teaching and 12 years of research experience, he has published 60+ papers.

Mr. Gopinath. B

Mr. Gopinath B is an Assistant Professor in Aeronautical Engineering at MVJ College of Engineering, Bengaluru, with over 10 years of teaching experience. He holds a B.E. in Mechanical Engineering and an M.Tech in Machine Design. His interests include engineering data analysis, machine design, and data visualization using Power BI. He integrates core engineering concepts with modern digital tools to promote data-driven learning. He contributes practical examples, visual aids, and case studies for engineers. He believes, “In engineering, data is the language of progress,” and aims to make Power BI accessible and practical for learners.

Mr. Irfan Khan

Mr. Irfan Khan is an Assistant Professor in Aeronautical Engineering, currently pursuing his Ph.D. He holds a B.E. and M.Tech and is committed to research-driven teaching. He specializes in simplifying complex concepts and connecting theory with real-world applications. His expertise includes aerodynamics, propulsion systems, and aerospace technologies. He contributes clear explanations and practical insights for students and professionals. He believes, “True understanding lies in connecting theory with real-world application,” and aims to make learning structured, practical, and meaningful.