The Qiskit Fall Fest is a global collection of student-led quantum computing events hosted on university campuses and supported by IBM Quantum. It brings together students, educators, and enthusiasts every autumn to run workshops, coding challenges, and hackathons using IBM's open-source Qiskit software development kit. Whether you study at Yarmouk or any other institution, you're welcome to participate. No prior quantum experience is required – just curiosity and a desire to learn.
Explaining the mindset shift from classical to quantum. We introduce fundamental quantum computing concepts such as qubits, superposition, entanglement, measurement state collapse, and probability distributions.Link to the session will be sent via email.
Workshop 1: Setting up Qiskit and quantum frameworks.
We establish the mathematical foundation required to understand quantum states. We cover statevectors, Dirac notation, probability amplitudes, unitary operations, quantum teleportation and the no-cloning theorem.
Workshop 2: Visualizing qubit rotations on the Bloch sphere and using Qiskit’s statevector class.
We introduce single-qubit and multi-qubit quantum gates, tensor products and use them to build quantum circuits and demonstrate quantum entanglement.
Workshop 3: Creating a Bell state with Qiskit and analyzing quantum circuit diagrams.
We introduce quantum algorithms and explain quantum advantage, as well as how quantum algorithms achieve instant speedups over classical ones. We cover Simon's algorithm, Deutch-Josza algorithm, and Shor's.
Workshop 4: Implementing Deutch-Josza with Qiskit.
We go over black-box oracles and the Bernstein-Vazirani algorithm searching unstructured databases or complex solution spaces. We also learn how Grover's algorithm uses amplitude amplification to boost correct state's probability.
Workshop 5: Constructing a 3-qubit Grover Search circuit from scratch and combining a target oracle with diffusion operator to amplify the winning state to near 100%.
We demonstrate how we use quantum computers to simulate quantum systems focusing on quantum simulation of fermionic system Hamiltonians, Trotterization, and the Jordan-Wigner transformation.
Workshop 6: Simulating the Fermi-Hubbard Model with Jordan-Wigner mapping and second-order Suzuki–Trotter decomposition using Qiskit.
We break down how we can turn classical graphs into quantum Hamiltonians mapping the nodes and edges of a network into energy states that a quantum processor can search simultaneously using superposition and quantum tunneling.
Workshop 7: Defining a network graph using Python's NetworkX, converting its adjacency matrix to a cost Hamiltonian, and executing a QOAO optimization loop.
We understand what quantum noise is and how it affects quantum systems leading to errors in computation. We show the error correction, mitigation, and supresssion techniques understanding the differences between them.
Workshop 8: Building and testing custom noise models in Qiskit. Measuring the average error rates of quantum hardware using Randomized Benchmarking and the IBM Noise Learner tool. Implementing error mitigation and supression algorithms.
Computer science student at Yarmouk University with interest in quantum computing. IBM Qiskit advocate and QAM Jordan ambassador.
Computer science student at Yarmouk University. IBM Qiskit advocate. Interested in quantum physics, quantum computing, formal logic and theoretical computation. I use Arch btw.
Cybersecurity lecturer at Yarmouk University with a strong interest in information security fields. Passionate about research, teaching and exploring emerging areas such as threat hunting, malware analysis, and the use of AI to address evolving cybersecurity challenges.
