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Five city-scale optimization problems, formulated & run live.
San Francisco runs on decisions that are brutally hard to get right: where to site storage on a grid absorbing AI data center load, how to allocate shelters in a disaster, how to sequence berths at the Port of Oakland. Every one of them is an optimization problem, & every one of them is bigger than the tools most teams point at it.
We built Planck to run enterprise optimization problems across quantum backends without requiring quantum expertise, & in July we won the Stanford x Google DeepMind hackathon with a version of it that mapped five Bay Area problems to quantum: data-center battery siting, disaster response shelter allocation, drone defense coverage, traffic signal coordination, & Port of Oakland berth allocation.
In this session we run them live on the Bay Area map & walk through how each one gets formulated, where quantum fits the shape of the problem, & where it does not.
Then we open the floor. Bring a real optimization problem from your company & we will formulate it on stage.
For founders, operators, & engineers who own scheduling, routing, siting, allocation, or capacity decisions. No quantum background needed.
Hosted by Artificial Brain
This event is a part of #SFTechWeek-a week of events hosted by VCs & startups to bring together the tech ecosystem. Learn more at www.tech-week.com.
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