On the afternoon of October 12, 2026, a corner of the University of Delaware's Sharp Laboratory will fill with laptops, half-formed teams, and a question that has quietly become one of the more consequential ones in modern computing: how do you write software for a machine that runs on the laws of quantum physics?
The occasion is the kickoff event for QHack 2026, the annual quantum coding competition run by Xanadu, a Canadian quantum computing company. The competition itself is entirely online, running from October 16 to 23, but the Newark gathering is a chance for would-be competitors to meet, hear a short introduction, and assemble teams before the clock starts. Bao Bach, a Ph.D. student in the University of Delaware's quantum science and engineering program, will give the opening talk.
The event is free and open to all experience levels. That is not a throwaway line. QHack is built around PennyLane, an open-source Python library for quantum computing, and the organizers are explicit that basic Python is enough to get started. No background in quantum mechanics is required. Participants can compete solo or in teams of up to four, and the top team takes home a $15,000 grand prize. The kickoff is designed to help people find teammates and get oriented, and organizers ask that interested participants RSVP even if they cannot attend in person.
To understand why a university lab in Delaware would host a kickoff for a competition run by a Canadian company, it helps to understand both halves of that pairing.
Xanadu was founded in 2016 and has become one of the world's leading quantum hardware and software companies, with a mission to build quantum computers that are useful and available to people everywhere. The company's bet is on photonics: building quantum computers that use particles of light rather than the superconducting circuits favored by many of its competitors. In 2018 it raised a $9 million seed round.
PennyLane, the software at the heart of QHack, arrived in 2018. When Xanadu launched it, the company described it as the first dedicated machine learning software for quantum computers, and the framing was deliberate. Deep learning libraries like TensorFlow and PyTorch had opened artificial intelligence to the world by giving ordinary programmers an interface to powerful GPU hardware. PennyLane aimed to do the same for quantum hardware. Crucially, PennyLane was built to be hardware-agnostic, able to talk to quantum computers from different companies through a plugin system rather than locking users into one vendor's machines.
QHack grew out of that same impulse to lower the barrier. The first edition, in November 2019, was a two-day quantum machine learning hackathon hosted by Xanadu. The required materials were modest: creativity, ideas, and a laptop.
From those beginnings, QHack became a genuinely global affair. By 2024, the fifth edition drew more than 2,000 participants representing over 90 countries, with roughly 600 teams in the coding challenges and a prize pool reported at around $200,000. That year also marked the first in-person component of the event. The 2026 edition is shaping up to be the largest yet, with organizers advertising the biggest prize pool in QHack's history: up to $67,000 in cash, including $15,000 for first place.
The format rewards both speed and depth. Competitors work through roughly 20 quantum challenges spanning algorithms, chemistry, applications, and PennyLane fundamentals. The faster a problem is solved and the harder it is, the higher a team climbs on the leaderboard. Challenges are released in groups, with the first batch unlocking on October 16 at 10:00 a.m. Eastern. To help newcomers prepare, Xanadu offers a self-paced video master class series led by its own quantum experts, covering everything from quantum computing foundations and algorithm design to quantum chemistry and resource estimation, along with hands-on Jupyter notebooks.
That on-ramp is where the University of Delaware comes in. The university's quantum science and engineering program, which offers both M.S. and Ph.D. degrees, is one of the few of its kind, built around hands-on, project-based learning and drawing on faculty from departments across the university. Students train on equipment ranging from semiconductor nanofabrication tools to high-performance computers. Bao Bach, the kickoff's speaker, is a Ph.D. student in the program; the university features him among its QSE students.
The stakes behind all this are not merely academic. A Fortune Business Insights report cited by the university projected the global quantum computing market growing from $486.1 million in 2021 to $3.18 billion by 2028, a compound annual growth rate of about 30.8 percent. Starting salaries for quantum physicists, quantum computer scientists, and quantum software engineers regularly exceed $100,000. The 2022 Nobel Prize in Physics, awarded to Alain Aspect, John F. Clauser, and Anton Zeilinger for experiments using entangled quantum states, underlined how far the underlying science has come.
But the pitch for the October 12 gathering is simpler than any of that. It is an hour in Sharp Laboratory to meet people, hear a brief introduction, and decide whether to take a swing at a problem set that thousands of people around the world will be wrestling with the following week. The competition is free, the entry bar is a working knowledge of Python, and the door is open to anyone curious enough to walk through it. Those who want in are asked to RSVP, even if they cannot make the kickoff itself.