Understand the chain.
Keep its limits in view.
From Molecule to Machine is an independent educational course connecting electronic structure, quantum algorithms, scientific validation, and machine-resource assumptions.
The full course, not a summary
The original technical lesson text is preserved in the reading column and in downloadable Markdown. The concept plates, mini-labs, glossary, and knowledge checks are explicitly supplementary. They are designed to explain the lessons, not replace source review or a validated scientific calculation.
Alongside the 34 opening concept plates, 46 contextual figures sit beside the original sections they explain. Plots name their axes, units, analytical or synthetic assumptions, and what to notice; numerical values can be inspected below them. Optional controls enhance complete static SVG or HTML, so the explanation remains available without JavaScript.
The site contains 34 complete lessons. Reading-time estimates use each lesson's word count at 180 words per minute; equations and code can take longer.
What the interactive models can establish
The small models implement deliberately limited mathematics: exact combinatorial counts, a real symmetric two-state eigenproblem, ideal one-qubit interference, independent Pauli sampling uncertainty, qubit-wise compatible grouping, phase grids and aliasing, additive error bounds, a schematic physical-qubit scaling rule, and an information-handoff checklist.
They do not run QDK Chemistry, calculate a molecular energy, query a quantum device, certify chemical accuracy, or provide a real quantum resource estimate. Their assumptions are visible beside the controls. No scientific result or quantum advantage is claimed from these demonstrations.
Sources and attribution
Most source-grounded implementation explanations refer to microsoft/qdk-chemistry at revision 97a3ff4fb86ebd5a2516e3548cece69127fd3555. Each lesson retains its source paths, linked citations, and caveats. Additional public QDK source references in resource chapters retain their own pinned revisions and version boundaries.
Source descriptions are revision-specific. Examples shown in a lesson are not evidence that the code was executed here or that a newer package version has the same behavior.
QDK Chemistry source excerpts are attributed to Microsoft Corporation and distributed under the source project's MIT license. The course's original explanations and diagrams are distinct from those excerpts. See the upstream license and third-party notices for license texts and dependencies.
This site is not affiliated with, sponsored by, or endorsed by Microsoft. Team handoffs are functional descriptions of specialist responsibilities, not claims about an internal organizational chart.
Reading mathematics and code
Equations are rendered locally with KaTeX and include MathML for assistive technologies. The source's math delimiters are normalized outside inline and fenced code only. Code samples remain selectable text; they are never automatically executed.
Wide tables, code, equations, and concept plates scroll within their own region. You can print a lesson without the navigation chrome. Use the theme selector for light, dark, or your system setting; motion preferences are respected.
Private progress, public lessons
All lesson text and site source are publicly accessible. Learning progress is stored only in your browser. There are no accounts, tracking pixels, remote analytics, or AI-service calls. The hosting provider necessarily receives normal requests for the site files.
If storage is unavailable or full, the site says so and keeps the current page usable. Visit Your learning to see or clear local records. A quiz score never changes the read marker automatically.
Revisit the evidence
Use the glossary for vocabulary, the search control for full-text section matches, and each lesson's source notes for provenance. A good outcome is not simply reaching the last chapter: it is being able to say what a calculation assumed, what it produced, and what another team still needs to know.