Qiskit Fall Fest 2026
Join Qiskit Fall Fest 2026 and connect with students, researchers, developers, and quantum enthusiasts from around the world to learn, collaborate, experiment, and build with Qiskit.
Go beyond tutorials and explore quantum computing alongside IEEE Senior Members organizing Qiskit Fall Fest 2026, with research published and presented at IEEE Quantum Week and other leading IEEE conferences. Drawing on experience across Quantum Machine Learning (QML), Quantum Natural Language Processing (QNLP), hybrid quantum-classical computing, and real-world quantum applications, the program brings research, learning, and hands-on experimentation together.
Hosted through IEEE representation and inspired by IEEE's mission of “Advancing Technology for Humanity,” Qiskit Fall Fest 2026 invites participants to look beyond algorithms and explore a bigger question: How can quantum computing help solve meaningful real-world problems?
Whether you are writing your first quantum circuit or already exploring advanced quantum algorithms, this is a place to learn from published research, exchange ideas with the quantum community, and turn those ideas into projects with real-world potential.
IBM Quantum
IBM Qiskit
IEEE Quantum
IEEE
IEEE × IBM Quantum: Advancing the Quantum Ecosystem
IEEE and IBM Quantum contribute to this ecosystem from complementary directions. IEEE Quantum Week, IEEE's flagship multidisciplinary quantum computing conference, brings academia and industry together to advance quantum research and engineering. IBM Quantum researchers actively contribute to this forum (IBM Research — IEEE Quantum Week), presenting work spanning quantum error correction, scalable systems, software, and quantum-centric supercomputing.
Beyond research, the IEEE Standards Association (IEEE SA) (IEEE SA — Quantum Standards Activities) is developing quantum standards and projects addressing areas such as quantum terminology, architectures, benchmarking, and energy efficiency helping create a shared technical foundation as quantum technologies mature.
IBM extends this foundation into hands-on exploration through Qiskit and cloud-accessible quantum systems, enabling researchers, developers, educators, and students to experiment with quantum computing.
Qiskit Fall Fest brings these worlds together: learn from research, build with real quantum tools, collaborate across the community, and explore how quantum technology can advance meaningful real-world applications.
Event Schedule
All sessions show India time first — IST (UTC+05:30) — with the matching US Eastern Time (EDT, UTC-04:00) listed directly below each one. Explore the three-day Qiskit Fall Fest 2026 program — inauguration, lectures, tea breaks, labs, and the hackathon problem statement.
Inauguration
Introduction to Quantum Computing
Tea break
Introduction to Qiskit
Algorithm Analysis and Complexity
Lunch break
Qiskit Lab
Tea break
Qiskit Lab Session
Quantum Algorithms
Tea break
Quantum Optimization Algorithms
Error Correction with Qiskit
Lunch break
Qiskit Lab 2
Tea break
Qiskit Lab 3
Optimization Algorithm with Qiskit
Tea break
Optimization Algorithm with Qiskit
Hackathon problem statement
Lunch break
Hackathon statement
Valedictory Ceremony followed by Tea
Hackathon Challenges
Fork the official GitHub challenge repositories, develop novel quantum circuits and hybrid AI pipelines, and submit your solution for expert evaluation.
Quantum Error Correction (QEC) & Fault-Tolerant Circuits
Design, benchmark, and simulate quantum error-correcting codes, syndrome extraction circuits, stabilizer measurements, and fault-tolerant logical qubits using Qiskit.
git clone https://github.com/Trinexis-Quantum/Quantum-QEC.gitQuantum AI for Healthcare & Biomedical Diagnostics
Develop hybrid quantum-classical neural networks and parameterized quantum circuits for biomedical diagnostics, medical CT/imaging analysis, and disease classification.
git clone https://github.com/Trinexis-Quantum/Quantum-Healthcare.gitQuantum Cybersecurity & Post-Quantum Cryptography
Implement quantum cryptographic protocols, BB84 quantum key distribution simulations, quantum random number generation (QRNG), and evaluate post-quantum security models.
git clone https://github.com/Trinexis-Quantum/Quantum-Cybersecurity.gitQuantum Training Series
15 Jupyter notebooks advancing from quantum physics first principles through Qiskit, PennyLane, and canonical algorithms — Grover, Simon, Bernstein-Vazirani & Deutsch-Jozsa.
Double Slit & Stern-Gerlach
Wave-particle duality, spin quantisation & quantum measurement
“Before you can program a qubit, you must believe it exists.”
QM Postulates, Bra-Ket & Bloch Sphere
Dirac notation, measurement collapse & state visualisation
“Dirac's bra-ket notation is the lingua franca of quantum computing.”
Bloch Sphere & Density Matrix
Pure vs mixed states, von Neumann entropy & NISQ realism
“Pure states are the ideal. Density matrices are the reality.”
Purity, Coherence & Entanglement
Bell states, concurrence & entanglement entropy
“Entanglement is the resource that makes quantum computers powerful.”
Noise & Quantum Information Measures
Kraus operators, CPTP channels, T₁/T₂ & Holevo bound
“The enemy of every quantum computation is noise. Know your enemy.”
Quantum Gates Deep Dive
Single-qubit, two-qubit & three-qubit gates; universality
“Quantum gates are rotations. Once you see that, everything clicks.”
Quantum Circuits, Entangling Gates & WHT
Bell states, GHZ states & Walsh-Hadamard Transform
“A quantum circuit is a recipe. This notebook teaches you to read and write those recipes.”
Qiskit Introduction
QuantumCircuit, AerSimulator, Sampler & Estimator primitives
“Qiskit is IBM's open-source framework for quantum computing. This is your orientation session.”
PennyLane Introduction
Differentiable quantum circuits, parameter-shift rule & VQE
“PennyLane bridges quantum circuits and machine learning.”
Qiskit vs PennyLane: Synthesis & Comparison
Side-by-side circuits, noise models & framework bilingualism
“Knowing both frameworks means you can pick the right tool for every problem.”
Oracles, Primitives & Deutsch-Jozsa
Phase kickback, oracle construction & exponential speedup
“Deutsch-Jozsa: the first proof quantum computers can outperform classical ones.”
Bernstein-Vazirani Algorithm
Hidden string recovery with a single quantum query
“One query. Any string length. The hidden secret revealed instantly.”
Simon's Algorithm
Exponential speedup via hidden XOR-period & GF(2) linear systems
“Simon's algorithm was the direct inspiration for Shor's algorithm.”
Grover's Search Algorithm
Amplitude amplification, √N search & multi-target Grover
“Searching a billion-entry database in 31,623 steps. That is Grover's quadratic speedup.”
Judges & Speakers
Distinguished researchers, engineers, and faculty members leading event organization and hackathon evaluation.
[HACKATHON JUDGES & EVALUATORS]
Hariharan Govindharajan
AI & Quantum Researcher and IEEE Senior Member
[IBM QISKIT ORGANIZING COMMITTEE]
[TRINEXUS QUANTUM • LEAD ORGANIZERS]
Senthil Vijayakumar
Event Organizer and IEEE Senior Member
Sidharth E.
Event Co-Organizer and IEEE Member
Selvavaani Senthilkumar
Event Co-Organizer and IEEE Senior Member
Quantum Research Team's IEEE Paper
Authored publications in quantum machine learning, healthcare 5.0 diagnostics, knowledge graphs, and edge artificial intelligence presented at premier IEEE conferences.
Contextual and Spatial Attention Model: Transfer Learning based Hybrid QNN Paradigm for Computer Vision Applications
Transfer learning accuracy and inference benchmarks across pre-trained CV architectures integrated with hybrid end-to-end QNN circuits for real-world computer vision deployment on AI edge devices.
A Hybrid QNN-Based Framework for Accurate Early Detection of HCV Liver Abnormalities from CT Scans Using Custom Transfer Learning and AI Edge Device
End-to-end hybrid QNN framework leveraging custom transfer learning to detect HCV-related liver lesions from CT scans, with hardware accelerators deployed on AI edge devices onboard CT scanners.
Revolutionizing Staffing and Recruiting with Contextual Knowledge Graphs and QNLP: An End-to-End Quantum Training Paradigm
End-to-end compositional quantum natural language processing (QNLP) combined with contextual knowledge graphs for high-dimensional semantic search and talent matching.
Revolutionizing COVID-19 Diagnosis: A Hybrid Quantum Neural Network-based Framework for Accurate Detection of Lung Abnormalities from CT Scans
Edge-deployable hybrid quantum neural network framework achieving state-of-the-art diagnostic accuracy for pulmonary abnormalities on compact AI edge devices.
A Novel Hybrid CNN–Quantum Neural Network Framework with Quantum Acceleration and Error Correction for High-Precision Breast Cancer Classification on AI Edge Devices
Hybrid ResNet152–QNN framework with Shor's Code and surface-code error correction achieving 97% breast cancer classification accuracy at 0.032 fps on AI edge devices.
Quantum-Enhanced Hybrid CNN–QNN Framework for Intelligent Rice Disease Diagnosis and Real-Time Field Recommendations on Edge AI Devices
Hybrid CNN–QNN model with parameterized quantum circuits and quantum error correction achieving 96.8% accuracy for real-time rice disease diagnosis and agronomic recommendations on edge devices.
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Participant Slot
Registration is mandatory for Qiskit Fall Fest 2026 participation. Seats are limited — complete the participant specification below to confirm your entry across all three competitive tracks.