April 30, 2021

Time (CDT)
9:00 AM - 9:15 AM Welcome Rakshya Khatiwada (FNAL+IIT+QSC)
9:15 AM - 9:45 AM Introduction to Quantum Computing Steven Margolis (IBM)
For almost 40 years, quantum computing has intrigued and amazed scientists and non-scientists in its future possibility for solving problems that are intractable using classical computing. Over the last five years, IBM has made real quantum computers available on the cloud so that clients, students, and researchers can begin to learn and experiment with this new way of computing. This presentation will cover an introduction to quantum computing and future roadmap.
9:45 AM - 10:15 AM QRAND: A quantum random number generator for arbitrary probability distributions Pedro Rivero (IIT+ANL)
Random numbers are everywhere. Computer algorithms, data encryption, physical simulations, and even the arts use them all the time. There is one problem though: it turns out that they are actually very difficult to produce in large amounts. Luckily, the probabilistic nature of quantum computers makes these devices particularly useful for the task. QRAND introduces an interface layer between NumPy and several quantum computing platforms (qiskit, cirq, qsharp...), along with some useful functionality that enables the production of quantum random numbers (QRN) according to different quantum protocols, and for a wide variety of probability distributions.
10:15 AM - 10:45 AM Noise and Error correction Matthew Otten (HRL labs)
10:45 AM - 11:00 AM BREAK
11:00 AM - 11:30 AM Quantum sensors for fundamental science overview Rakshya Khatiwada (FNAL+IIT)
11:30 AM - 12:00 PM Superconducting qubits in quantum computing and sensors Robert McDermott (University of Wisconsin Madison)
12:00 PM - 12:30 PM Graphene devices and qubits for quantum sensing KC Fong (Raytheon BBN)
12:30 PM - 12:45 PM Closing remarks Rakshya Khatiwada (FNAL+IIT)
12:45 PM - 1:45 PM LUNCH BREAK
1:45 PM - 3:15 PM Qiskit tutorial and use cases overview Steve Margolis, Gabe Chang, IBM
This session will cover the basic quantum computational principles of superposition, entanglement, and interference. You will see examples of actual quantum algorithms, and how to continue your exploration of the technology.