Quantum Computing

A beginner primer on keeping early quantum notebooks, results and reading lists working as tools change, ending with a short glossary of key terms.

I tried to explain a qubit to my sister three different ways and each attempt found a new hole in my understanding. Here is how analogy, maths and code compare.

A list of eight deliberate removals, from redundant gates to idle qubits and extra shots, that improve quantum computing results on today’s noisy hardware.

A friendly checklist for auditing any quantum computing explainer against one real reader, a busy physics teacher, covering analogies, maths, honesty and length.

Quantum experiments often run alongside ordinary cloud computing. Here is how to think about the cost of one run, one shot and one finished result.

You do not need to fit the physics-lab stereotype for a quantum computing career. Here are the skills to build, a twelve-week plan and roles beyond research.

When a key researcher moves on, daily lab practice can leave too. A question-led look at writing runbooks for quantum computing groups.

Quantum studies drift when the request starts with the technology. Write the problem, baseline, test, timeline and hand-over first, in ten steps.

Promised timelines and published results describe different things. A friendly state-of-play on matching the two and what the gaps tell you.

Physical or logical qubits, advantage, fault-tolerant, fidelity: nine quantum computing terms teams often misread, and how to agree one shared meaning for each.