Workshop Program
August 14, 2026 · 8:30 AM – 4:15 PM · 108 SERC, Temple University
8:30 AM
Opening
Registration
Sign in, collect your materials, and get your laptop configured for the day's experiments.
9:00 AM
Plenary
Introduction
Welcome remarks, overview of the day, and motivation for quantum approaches in machine learning.
9:15 AM
Session 1
Machine Learning (ML)
Fundamentals of classical machine learning — supervised learning, neural networks, and the limits of classical computation for complex distributions.
10:15 AM
☕ Morning Break — 15 min
10:30 AM
Session 2
Quantum Computing
Core quantum computing concepts — qubits, quantum gates, superposition, entanglement, and the quantum circuit model. Hands-on introduction using quantum simulators.
11:15 AM
Session 3
Quantum ML (QML)
Where quantum computing meets machine learning — variational quantum circuits, quantum kernels, and quantum advantage for specific ML tasks.
12:00 PM
🍽 Lunch Break — 30 min
12:30 PM
Session 4
Linux QML Simulations
Hands-on: Basic Linux cluster computing, setting up your QML environment, and running machine learning experiments using a quantum computing simulator.
2:15 PM
☕ Afternoon Break — 15 min
2:30 PM
Session 5 — Capstone
QML Hardware Experiments
The highlight of the workshop — deploy your QML models onto real quantum hardware. Experience quantum noise, error mitigation, and the practical realities of current NISQ-era devices.
4:00 PM
Closing
Concluding Remarks
Key takeaways, next steps for your QML journey, Q&A with instructors, and networking.
Before You Arrive
Requirements
Personal Laptop
Bring your own laptop — you will use it to access our computing resources throughout the day.
Pre-configured Environment
Participants will be asked to configure their laptop environment prior to the workshop. Instructions will be sent upon registration.
Basic Computing Skills
Familiarity with a terminal and basic programming is helpful, but no QML experience is required.
Registered Participant
Registration is free but limited to the first 40 participants. Secure your spot early.