IBM, Google, IonQ, D-Wave and the rest of the field — company roadmaps, hardware costs, stocks, degrees and quantum computing jobs.
33 articles
Who is building these machines, and what the money is doing
The quantum computing industry runs on a mix of national funding programmes, corporate research budgets and venture capital, aimed at a technology whose commercial payoff is still years out. That shapes everything about how the sector communicates: roadmaps are marketing documents as well as engineering plans, and the incentive to announce is stronger than the incentive to wait.
This hub covers the companies, the hardware they are building, what things cost, where the jobs are and how to read an announcement.
The main players
IBM — superconducting qubits, the most public roadmap in the industry, and free cloud access that trained a generation of researchers.
Google Quantum AI — superconducting qubits; published the first quantum supremacy claim and much of the strongest recent error-correction work.
IonQ and Quantinuum — trapped ions, consistently leading on gate fidelity and connectivity while trailing on raw qubit count.
D-Wave — quantum annealing, a different machine aimed at optimisation. Annealers are not universal quantum computers and cannot run Shor's algorithm, a distinction routinely lost in coverage.
Microsoft — the topological bet, plus Azure Quantum as a platform over other companies' hardware.
PsiQuantum, Xanadu, Pasqal, QuEra, Rigetti and others — photonics, neutral atoms and superconducting approaches at various stages.
Reading the sector honestly
Quantum computing stocks are volatile and move sharply on announcements whose technical content is often thin. Revenue across the pure-play companies is small relative to valuations, and most of it comes from government contracts and research access rather than production workloads. Nothing on this site is investment advice — the articles here explain what a company has built and what its claims mean technically, and stop there.
Working in the field
The jobs are more varied than the physics-PhD stereotype suggests: control engineering, cryogenics, microwave hardware, compilers, error-decoding software, classical simulation. Software roles frequently go to people from conventional computing backgrounds who learned the quantum layer afterwards. Articles here cover degrees, courses, the skills employers actually ask for and what the roles pay.
What a master’s in quantum computing teaches: superposition, entanglement, Shor’s and Grover’s algorithms, hardware, cloud services and machine learning.
Free PDF · 57 pages
Free: the whole subject in one PDF
Browsing a topic is one way in. Quantum Computing, Explained is the other — 57 pages, sixteen chapters, from what a qubit is to what to do about encryption.
What a qubit actually is, without the coin-flip analogy
Why error correction, not qubit count, is the real bottleneck
Six questions that expose a misleading quantum headline
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Quantum computing explained end to end, in one PDF. Sent as soon as you confirm your address.
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