A structured six-day program combining symposium talks, hands-on workshops, and project development. From qubits and quantum circuits to machine learning, participants bridge theory with implementation.
Learn. Build. Present. Certify.
|Q⟩Forest is a vibrant community of quantum computing enthusiasts at PES University. Our mission is to explore, learn, and innovate in the fascinating world of quantum computing. From workshops and seminars to hands-on projects, we provide a platform for students to dive deep into quantum algorithms, quantum hardware, and the latest developments in this revolutionary field.
IEEE Computer Society fosters a community of developers, engineers, and researchers by bridging foundational computer science with practical software engineering. The chapter encourages technical depth, collaborative learning, and system-level thinking through events, projects, and knowledge-sharing initiatives.
Curriculum Arc
Six days of intensive learning and building.
Venue: BE Bloc third floor seminar hall
Topics: Qubits, superposition, measurement, Bloch sphere, gates (X, Y, Z, H, CNOT)
Introduction to the foundational concepts of quantum computing including qubits, superposition, measurement,
the Bloch sphere, and key quantum gates with simple circuits.
Venue: BE Bloc third floor seminar hall Dive into hands-on sessions starting with essential developer tools like Linux and Git version control, before seamlessly transitioning into a comprehensive exploration of modern DevOps practices, cloud architecture, and scalable infrastructure management.
Venue: BE Bloc third floor seminar hall
Topics: Multi-qubit systems, entanglement, Deutsch-Jozsa algorithm demonstration
Deep dive into quantum circuit construction, exploring multi-qubit systems, quantum entanglement, and
a live demonstration of the Deutsch-Jozsa algorithm.
Special Event: Orientation and Roadshow of the Photonics and Quantum Technology Research Lab.
Venue: BE Bloc third floor seminar hall
Topics: Supervised learning, unsupervised learning, regression, classification
A dual-track day covering classical ML paradigms — supervised and unsupervised learning, regression, and
classification
Includes hands-on exercises and real-world case studies to reinforce key concepts
Venue: BE Bloc third floor seminar hall
Topics: Hybrid models, variational circuits
Bridging classical ML with quantum computing through hybrid model architectures and variational quantum
circuits.
Teams present their implementations followed by closing ceremonies, networking mixer, and certification distribution.
Intensive, hands-on sessions designed to take you from theory to working code.
Combine quantum computing and machine learning into one structured learning ecosystem.
Hands-on workshops, symposiums, and guided projects connecting academic concepts to real-world applications.
Learn qubits, quantum circuits, algorithms, Git workflows, Linux fundamentals, and ML basics.
Encourage research, teamwork, and innovation through project-based learning and final presentations.
Partner with Noether Week to engage with ambitious student builders working across quantum computing, AI, and advanced systems.
Sponsorship at Noether Week creates direct visibility among motivated students, technical communities, and emerging researchers.