WORKSHOP
Build Your First Quantum Circuit in Python — A Beginner's Workshop
Date: 07 October 2026 Time: 11:30 to 02:30 PM
Venue: Workshop Room 1, NIMHANS Convention Centre, Bangalore
FEES:
• Rs.299 for Leaders Pass holders
• Rs.2009 for Professionals Pass holders
• Rs.2249 for Knowledge Pass holders
• Rs.2699 for Community++ or Student Pass holders
• Rs.2999 for all others
(Limited seats available)
By the end of this workshop, participants will understand the core ideas of quantum computing — qubits, superposition, entanglement, and quantum gates — without any math, and will have written and run their own quantum circuits in Python using open source Qiskit. Starting from a “hello qubit” program, they’ll build up to creating an entangled Bell state and interpreting real measurement results. Attendees leave with working notebooks, a curated resource path to go deeper, and the confidence that quantum programming is something they can actually do today.
Manjunath Janardhan
AI/ML Computational Science Senior Manager Accenture
- This workshop is for anyone curious about quantum computing — no physics or quantum background needed. If you can write basic Python (variables, functions, running a script or notebook), you can follow along. Ideal for software developers, students, and tech enthusiasts attending their first quantum session. Setup instructions will be shared in advance, so just bring a laptop and your curiosity.
- Part 1: Quantum Foundations — No Math, Just Intuition (40 min)
- Why quantum computing matters — and what the hype gets wrong
- Classical bits vs qubits: light switches vs spinning coins
- Superposition and measurement — why you only get one answer
- Entanglement: the magic gloves that always agree
- Quantum gates: choreographing qubits into computation
- Part 2: Your First Quantum Circuits (50 min)
- Tour of the Qiskit workflow: build → simulate → measure
- "Hello Qubit" — your first circuit
- Flipping qubits with the X gate
- Creating superposition with the Hadamard gate
- Running simulations and reading measurement histograms
- Part 3: Entanglement in Code (50 min)
- Building a Bell state — entanglement with Hadamard + CNOT
- Guided exercise: extending to a 3-qubit GHZ state
- Seeing interference in action — a mini demo
- Part 4: Going Further (30 min)
- Running your circuit on a real quantum computer (IBM Quantum cloud)
- Advanced walkthrough (time permitting): Grover's search / quantum teleportation — provided as take-home notebooks
- Resources and roadmap: from today's workshop to intermediate All notebooks and slides shared in a public repo.
Benefits/Takeaways of this workshop for the attendees (What will attendees do after attending the workshop which they were not able to do before attending this)
- By the end of this workshop, attendees will:
- Understand the core concepts of quantum computing — qubits, superposition, entanglement, and gates — explained intuitively, without math
- Have written and run their own quantum circuits in Python using open source Qiskit
- Have built a real entangled Bell state and learned to interpret measurement results
- Know how to run circuits on an actual quantum computer via the IBM Quantum cloud — for free
- Take home all workshop notebooks and slides in a public repo, including advanced material (Grover's search, teleportation) to explore later
- Leave with a clear learning roadmap to grow from beginner to intermediate
- By the end of this workshop, attendees will:
- Basic Python knowledge — variables, functions, and running a script or Jupyter notebook
- A laptop with the workshop environment set up (simple setup instructions will be shared in advance; a browser-based fallback will also be available)
- No physics, mathematics, or quantum computing background required.
Note:
For hands-on workshop, attendees should bring their own laptop with tools installed
About Speakers
Manjunath Janardhan is a Senior Manager in AI/ML Computational Science at Accenture, specializing in enterprise-scale AI architecture, Generative AI, and intelligent automation for global operations. With more than 21 years of experience across Healthcare, Finance, and Cloud platforms, Manjunath designs and delivers high-impact AI systems that combine deep engineering with advanced machine learning and LLM-based intelligence.
Prior to Accenture, he served as a Principal AI Engineer, architecting end-to-end GenAI platforms, knowledge systems, agentic workflows, and enterprise RAG solutions for global engineering teams. His work spans distributed systems modernization, microservices transformation, AI observability, and large-scale platform optimization across organizations such as GE Healthcare, MSG Global Solutions, and Dell EMC. He has led multi-disciplinary engineering teams, contributed to open-source ecosystems, built internal GPT applications, and filed patents in AI-driven service automation.
A recognized speaker and educator, Manjunath has delivered technical sessions at IISc, PyData Global, AWS Community Day, Google AI Community, Microsoft, NVIDIA, Atlassian EngFest, and Open Source India, covering Agentic AI, RAG architectures, Knowledge Graphs, LLM evaluation, MCP systems, and enterprise adoption of Generative AI. He also mentors aspiring technologists through Microsoft Code Without Barriers and serves as a technical reviewer for industry publications.
At Accenture, Manjunath focuses on developing next-generation AI architectures for Intelligent Operations, AIOps, automation platforms, and enterprise AI transformation, bridging cutting-edge research with scalable real-world deployments.