Quantum Computing

An invented research-team story shows why quantum experiments are hard to hand over, and what a record of device, date and settings should contain.

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.