"It was a wonderful experience interacting with you and appreciate the way you have planned and executed the whole publication process within the agreed timelines.”
Subrat SaurabhAuthor of Kuch Woh Pal
"Quantum Computing with Python: From Theory to Implementation" is a comprehensive guide to the fascinating field of quantum computing, designed for programmers who want to learn how to implement quantum algorithms using Python.
With a focus on practical implementation, the book walks readers through building and running quantum circuits and algorithms, including Grover's algorithm, Shor's algorithm, and Quantum Fourier Transform. It also covers topics like quantum error correction, quantum machine learning and quantum simulations using quantum simulators like Qiskit Aer and Cirq.
Throughout the book, readers will find clear explanations, examples, and exercises to help them grasp the concepts and put them into practice. Whether you are a computer science student, researcher or software engineer, "Quantum Computing with Python: From Theory to Implementation" is the perfect resource to begin your journey into the world of quantum computing.
Lalasa Mukku, Jyothi Thomas, Diana Jeba Jingle, Jyothi Thomas, Diana Jeba Jingle
Lalasa M is a PhD candidate in Computer Science and Engineering Department of CHRIST (Deemed to be University). Her area of research is machine learning and deep learning for medical image processing. She published several scientific articles most of which are focused on cervical cancer identification through artificial intelligence.
