Estimating Lottery Revenue on a Quantum Computer

Ever wonder how you actually use a quantum computer? What does the code to run a quantum computer program look like? Find out in August, as we return to in-person events and kick-off with a discussion on quantum computing.

Agenda

6:00 PM -- Food and Drink

6:30 PM -- Greetings

6:35 PM - Data Science Corps Project - Amivi Atsu

6:45 PM -- Estimating Lottery Revenue on a Quantum Computer - Stephen Penn, DM, PMP

7:45 PM -- Closings

Location

Betamore City Garage
101 W Dickman Street
Baltimore, MD 21230

COVID Protocols

We ask that members continue to be cautious at the event and respectful of one another. We will do our best to provide ample room for attendees with ample sanitizer. Masks will be required.

Parking

There is ample free parking surrounding the building.

Food and Drinks

Complimentary food and drink will be provided.

Talks

Estimating Lottery Revenue on a Quantum Computer
Learning quantum computing can be daunting due to the need to learn matrix algebra and probabilities. However, that doesn’t have to be the case. You can solve existing business problems with just college algebra and python. This presentation will show how an optimization problem can be set up on a quantum computer. The business problem is based on a state lottery trying to minimize sales (consumer taxes) in specific locations, while maximizing state-wide total revenue. This presentation offers a first-step approach to learning quantum computing by walking through code that runs on a D-Wave adiabatic quantum machine.

Speaker

Dr. Stephen Penn earned his Doctor of Management from the University of Maryland University College. His dissertation focused on data-driven decision making. Stephen has worked in Information Technology for almost thirty years, specializing in data warehousing and analytics. He is currently an Associate Professor at Harrisburg University and the Program Lead for the undergraduate business program.

Resources

D-Wave - https://www.dwavesys.com/
Dr. Penn @ Harrisburg - https://www.harrisburgu.edu/about/our-people/faculty-staff/stephen-penn/