Daniel Justice · Quantum Computing
Quantum computing is interesting. Knowing what to do with it is harder.
I teach quantum computing at Carnegie Mellon University and work on how we learn, evaluate, and prepare for emerging technology.
The Quantum Turtle is where I share the work: courses, experiments, explanations, technical notes, and the occasional attempt to separate what quantum technology can do from what people hope it can do.
Current focus
What I’m working on now
Programming Quantum Computers
Teaching quantum by having students build, test, and reason about actual circuits.
Explore the course →Evaluating Quantum Claims
How do we tell when a quantum result is meaningful, and what should we compare it against?
See how I approach it →Post-Quantum Readiness
Thinking about the gap between technically available cryptography and an organization’s ability to adopt it well.
Explore the problem →Learn
Learn quantum by doing quantum.
Most quantum concepts become easier once you can build something, change it, and see what happens.
Start learning →Programming Quantum Computers
Qubits · Gates · Entanglement · Teleportation · QKD · Algorithms
Open course →Selected work
Research, readiness, and teaching
Quantum Algorithm Evaluation
Evaluating QAOA for Max-Cut by comparing the quality of individual samples with strong classical alternatives.
Explore this work →Post-Quantum Readiness
How can organizations identify cryptographic dependencies and prepare the people, systems, and processes needed for migration?
Explore this work →Programming Quantum Computers
Building enough intuition through code and circuits that students can question the tools and claims they encounter.
Explore this work →Compared to what?
Faster than what?
Useful for what?
Three questions I keep coming back to when evaluating emerging technology.About
The hard part isn’t always building the technology. It’s knowing when and how to use it.
I came to quantum computing through software engineering and emerging technology rather than the traditional physics path. That shapes how I teach and research it: I care a lot about whether we can build something, measure it, compare it, and understand what it is actually useful for.