Quantum Computing

A step-by-step method for small teams starting with quantum computing: state the question, apply a blocker test, and rank every other preference as a tie-breaker.

Hardware drift and statistical results make quantum work hard to reproduce. A look at the state of the practice and why dated experiment records matter so much.

Quantum projects attract hope and stall for ordinary reasons. A plain-language explainer on imagining the failure first and fixing six common causes.

Quantum teams either stall or bet everything on one device. A friendly diagnosis, and five habits that keep your options open while the field changes.

You do not need hardware, a breakthrough or mastery of the maths to share a small quantum experiment. Six myths, checked against how the field works.

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.