Quantum training for teams

Nobody on your team needs to become a quantum physicist. What they need depends on their job. A board member has to decide what to fund and when. A software engineer has to know whether a quantum algorithm is worth testing and how to test it. A security architect has to plan a cryptography migration with real deadlines. Our quantum computing training gives each group the part it needs, in Spanish or English.

Who should take quantum computing training?

Quantum computing training is useful for three groups in most companies: executives who decide what to fund and when, engineers and data scientists who will test quantum algorithms, and security teams who must plan a post-quantum cryptography migration. Each group gets its own track, because their questions and starting points are too different to mix.

We don’t run one generic course for the whole company, because mixed groups end up either lost or bored.

Executive briefing

Two to three hours, usually in person or live online. It covers what quantum computers can and can’t do today, the vendor roadmaps (IBM, for example, targets its fault-tolerant Starling system for 2029), and the one risk that already has dates attached: NIST’s plan to deprecate RSA and elliptic-curve cryptography by 2030 and disallow it by 2035, set out in draft IR 8547 in November 2024.

The goal is a leadership team that can ask vendors the right questions and knows which decisions belong in this year’s budget. We finish with a short written summary your board can file. If leadership wants to go further, the strategy and roadmap service picks up from here.

Engineering labs

Two to four days of hands-on work for software engineers, data scientists and researchers. People write code from the first hour.

The labs cover qubits, gates and measurement as working tools, then move to the algorithms that matter for business problems: variational methods such as QAOA and VQE, sampling, and the basics of quantum machine learning. Participants run circuits on simulators, then on real processors through IBM Quantum Platform or another cloud provider, and see firsthand how much noise does to a result.

We use Qiskit by default and PennyLane when the group leans toward machine learning. Where possible, the final exercise uses a simplified version of one of your own problems, so the discussion ends on your data, not on a textbook example.

Post-quantum cryptography course for security teams

One to two days for security architects, PKI and HSM owners, and infrastructure engineers. No physics required.

It explains why Shor’s algorithm breaks RSA and elliptic-curve keys, what “harvest now, decrypt later” means for your data, and what replaces them: the NIST standards FIPS 203 (ML-KEM), FIPS 204 (ML-DSA) and FIPS 205 (SLH-DSA), published on August 13, 2024, plus HQC, which NIST selected on March 11, 2025 as a backup key-encapsulation algorithm. Most of the time goes to practice: building a cryptographic inventory, testing hybrid TLS, reading vendor claims, and sequencing a migration. It is the natural preparation for a post-quantum cryptography migration.

What can each team do after quantum training?

After quantum training, executives can tell a serious vendor proposal from a marketing deck, engineers can write and test a small variational algorithm and judge whether a problem fits current hardware, and security teams can start a cryptographic inventory and run a hybrid post-quantum TLS test in a lab.

A course is worth paying for only if people work differently afterwards. We set these outcomes with you before the first session and check them at the end.

Executives can explain to their board why the cryptographic risk has a date and the optimization opportunity doesn’t, and can tell a serious vendor proposal from a marketing deck. In practice that means asking for logical qubit counts and error rates instead of physical qubit counts, and asking what classical baseline a claimed speedup was measured against.

Engineers can write, run and test a small variational algorithm, read a vendor’s benchmark critically, and estimate whether a problem is small enough to fit on current hardware. Most of them also come away knowing when a classical solver is the better tool, which saves money later.

Security teams can start a cryptographic inventory on their own, run a hybrid post-quantum TLS test in a lab, and write the first draft of a migration sequence. They also know which questions to put to HSM, VPN and certificate vendors about their post-quantum plans.

Adapting the material to your industry

The core of each course stays the same, but the examples change. A bank’s engineering lab might use a small portfolio optimization problem; a logistics company’s might use vehicle routing; a pharmaceutical team’s might start with a toy molecule simulation. For security teams, the examples come from the systems they actually run, such as payment switches, patient record platforms or telecom signaling.

We ask for a short description of your context before the course and adjust the exercises. We never need access to production data. Synthetic data with the right shape works well for teaching.

Why teach this in Spanish

Most quantum material is in English, and the vocabulary is new even for strong engineers. Learning superposition, entanglement and error correction in a second language slows people down and hides misunderstandings. For teams in Colombia, Mexico, Chile, Peru or Argentina, a course in Spanish, with materials and exercises in Spanish, usually means faster progress and more questions asked out loud.

English-speaking teams, including US teams with Latin American colleagues, get the same content in English. Mixed groups can switch between both.

Use the free resources first

There is a lot of good free material, and we’d rather you use it than pay us to repeat it.

IBM Quantum Learning has free courses and tutorials built on Qiskit, from the basics of quantum information to utility-scale quantum computing. IBM also backs Qiskit Fall Fest, a series of community-led workshops and hackathons run by student leaders and volunteers, with the 2026 events planned for October and November. Xanadu publishes free PennyLane tutorials and demos. Cloud providers offer free tiers or credits that are enough for most learning exercises.

What these resources don’t do is connect the material to your systems, answer questions about your industry, or tell a manager what the team should learn next. That is where a paid course earns its place. Every participant leaves with a learning path that points to the free material worth doing next, in order.

What should each role learn after the course?

After the course, each role gets a six-to-twelve-month learning path: executives receive quarterly updates on vendor milestones and regulation, engineers follow a sequence of free courses and small internal projects ending in one real experiment, and security teams move from inventory work on their own systems to pilot migrations of low-risk services.

A single course doesn’t make a quantum team, which is why the path matters. Some engineers go on to quantum use case discovery work with us.

How to start

Training is available now. Most companies begin with the executive briefing, because it decides whether the other two tracks are worth the time. Group sizes, format and dates are set with you, since we are opening engagements in stages.

If you want a course for your team, write to us with the roles involved and the language you prefer.