Hardware modalities

Free lecture videos from the Delft MOOCs, organised by topic. Uniquely strong on the hardware side — how you actually build and control a qubit — and on quantum internet.

How transmons actually work, from Josephson junctions through control electronics to readout. The reference for anyone whose algorithms run on IBM, Google or Rigetti hardware.

The counterpart review for trapped ions — the platform with the best gate fidelities and all-to-all connectivity, and the hardest scaling problem.

One API across IonQ, Rigetti, QuEra and IQM hardware plus managed simulators. The practical way to run the same circuit on trapped-ion, superconducting and neutral-atom machines and compare.

Google's SDK, built around explicit control of qubit layout, timing and noise. Preferred when you care about what the hardware actually does rather than an idealised abstraction.

Google’s curated tutorials, coding labs and research talks, oriented around Cirq and the hardware Google actually builds. Good complement to the IBM-centric mainstream.

Nature’s open-access quantum information journal, strong on experimental hardware and error correction results.

The APS open-access journal for high-impact quantum information results. A good curated filter over the arXiv firehose when you want the results that mattered.

The university MOOC hub. MIT's Quantum Information Science series and Delft's hardware-focused courses are the standouts. Audit tracks are free; certificates cost money.

Industry news, company tracking, hardware roadmaps and job listings. The best single source for what the commercial side of the field is doing.

A sober expert assessment of feasibility and timelines, free to read online. Written for policymakers, which means it is unusually clear about uncertainty and risk.

Europe's public quantum computing platform, with free access to simulators and to spin-qubit and transmon processors. A useful counterweight to seeing only IBM hardware.

The Sycamore experiment. Read it alongside the classical simulation rebuttals that followed — the argument about what it proved is more instructive than the result itself.

Photonic and continuous-variable quantum computing, a genuinely different model from the qubit circuits everything else here teaches. Worth a detour to see the alternative.

Defines quantum volume, the single-number benchmark you see in every vendor announcement. Understanding its definition tells you exactly what those announcements do and do not claim.