qubit-lab.ch
Quantum Computing for Financial Services.
For a financial institution, quantum computing is an opportunity you can capture and measure — and a risk you must understand and manage.
Independent of hardware and software vendors. Every quantum claim is checked against a certified exact solver where one exists, and the strongest tuned classical baseline where it does not, and published.
Quantum Opportunity
A different method, not a faster computer: quantum finance methods scale differently, with a provable quadratic speedup in sampling for pricing and risk, possibly new routes into cardinality-constrained optimization, and a feature space whose dimension doubles with every qubit for classification. Is quantum relevant for you, today or in the years ahead? Find out the lean way: your team, your data, and the best available quantum algorithms for finance — and you decide whether to go further, and at what pace.
Published sample runs: a 78-asset private-bank mandate whose policy leaves 23 free decisions (23 qubits, 8.4 million allocations enumerated exactly) where the quantum result sat 0.0% from the certified optimum — and a dataset where our own product said “not yet”. Fixed scope, fixed price, a go/no-go at the end.
The Lean Quantum Exploration Process →Quantum Risk
Quantum computers will break today’s encryption — and data harvested now can be decrypted later. Risk registers, processes, and security architecture need a quantum-safe path. We help you find yours: lean and efficient.
In its Guidance 05/2026, FINMA recommends that Swiss institutions draw up a PQC roadmap by mid-2027 at the latest.
Explore PQC →A relaxed 30 minutes — management-friendly or physicist to physicist. No slides, no strings attached.
Why, and why now
Your peers are already on the map: 86 published quantum initiatives at 48 banks and financial institutions since 2018, on both tracks, from portfolio optimization and option pricing to fraud analytics and quantum-safe security. On the opportunity side alone, 67 at 34 institutions, 31 of them from 2025 and 2026 and 18 from 2026 alone. For a Swiss institution the question is turning from whether to look into how to look: lean, without the overhead of a large program.
That is what qubit-lab.ch is built for — and it enables your own people rather than bringing in an external team of quantum scientists. Your quants, data scientists and innovation experts already understand your problems, your data and your constraints. In five sessions they learn the essentials, then test your own data on the best available quantum algorithms — on fast, low-cost simulators and on real quantum hardware, every result checked against an exact classical referee — alongside their day jobs and in bounded steps. Not least, it is work your best people want to do.
Why
- A different method, not a faster computer. A provable quadratic speedup in sampling for pricing and risk, possibly new routes into cardinality-constrained optimization, a feature space whose dimension doubles with every qubit for classification.
- The problem shapes are yours. Allocation with pairwise effects, estimation by sampling, classification with hidden structure. Everything linear stays classical.
- Whoever benchmarks decides. Every result you will be shown, ours included, had its benchmark chosen by whoever published it. Parity at certifiable sizes is a result.
Why now
Advantage demonstrated in physics, open in finance: IBM and partners, July 2026, posted for anyone to refute. In finance the question is open, use case by use case.
- Your peers are already on the map. 67 published quantum initiatives at 34 financial institutions, 31 of them from 2025 and 2026, 18 from 2026 alone: Intesa Sanpaolo, JPMorgan, HSBC, Wells Fargo, Erste, BBVA and UBS (2024) among them. Your board will not ask whether you are on that map, but where.
- Your board is likely to see a quantum-risk roadmap in 2027. FINMA recommends a PQC roadmap by mid-2027; Germany’s BSI sets 2026, 2030 and 2035. The board will then ask what the same technology could do for the firm; whoever answers needs a measured number.
- The entry is lean, the yardstick is strict. A few weeks per use case on your own data. What the weeks leave behind is a certified benchmark on your own constraints, rerun against every new device. Weeks to find out, not years to build.
A selection of institutions with publicly documented quantum initiatives. No affiliation with or endorsement by the institutions shown; all logos remain the property of their respective owners.
See the full map of initiatives by use case and method →How an engagement runs
Each step fixed in scope and price. Enter at any step, stop at any step.
Step 1
The first step
A 30-minute call to pick the first use case. Free, no obligation, no slides. After it, guest access to the RQP suite on a sample workbook with a personal code, at your own pace.
Step 2
Written proposal
Fixed scope, format, timeline and price — usually within a few days.
Step 3
One fixed-price step
A management briefing, the team Kickstart, or Rapid Quantum Prototyping on your own data.
Step 4
Go / no-go
A clear decision on the next step, backed by certified numbers — not vendor claims.
Entry budget: a first engagement, briefing, Kickstart and two to three months of Rapid Quantum Prototyping on your own data, is sized at CHF 40,000 to 80,000 depending on scope, and under CHF 100,000 in any configuration. Fixed scope, fixed price, go/no-go at the end.
Services
The Lean Quantum Exploration Process: staged steps to a go/no-go decision, enter at any step — plus a separate post-quantum cryptography track.
Step 1 · Management entry point
Quantum Awareness Briefing
Realistic use cases, decision paths and next steps for management.
Advisory offerings →Step 2 · Enable the team
Quantum Capability Kickstart
Five hands-on sessions: fundamentals, coding, algorithm workflows, experimentation.
Kickstart pilot, October 2026: three mornings, a condensed run of the format, with practitioners from a wealth-tech firm, a consultancy, a family office and a bank. Two finance problems end to end, every result judged against a classical baseline.
“I started with no quantum background and left with a real understanding of the theory and a clear idea of where it can be applied in finance.”
Step 3 · Explore on your own data
Rapid Quantum Prototyping (RQP)
Monthly team access: your own use cases and data on ready-to-use quantum prototypes, every result checked against an exact classical referee.
The RQP suite →Quantum Risk · separate track
PQC Readiness
Awareness, exposure visibility, stakeholder alignment and the FINMA roadmap.
PQC offerings →Evidence, not promises
Every quantum claim we make is benchmarked against a certified exact solver where one exists, and the strongest tuned classical baseline where it does not, and published. Every run exports reproducible notebooks (Qiskit, PennyLane, Cirq, CUDA-Q, Classiq, OpenQASM), so your team can re-run it. At the sizes a referee can certify, parity is the expected result; the benchmark measures how the gap moves as the instance grows. Three sample runs, numbers unedited:
0.0%
QAOA gap to the certified optimum
78-asset portfolio, 23 free decisions, 8.4 million possible allocations evaluated exactly — the quantum result matched the proven optimum, bit for bit.
Every rule priced
S&P 500 with 20 instruments
Certified minimum tracking error — and the certified cost of every mandate rule, priced by re-solving the optimum without it.
“Not yet”
No advantage demonstrated: the verdict we shipped when the classical baseline held
On an energy-price dataset our own product recommended staying classical — measured, printed, and monitored until the answer flips.
Market context: 86 published quantum initiatives at 48 financial institutions, 2018–2026, 67 of them on the opportunity side, mapped by use case and method on the quantum finance page.
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Daniel Hug
Founder · MSc Physics ETH Zurich · MBA · PMP
Physicist and senior transformation professional with leadership experience across UBS, Credit Suisse, and SIX. One conviction from years of regulated change: broad exploratory programs stall; small fixed-scope steps that end in a clear decision move organizations forward.
Selected work
3rd-eyes analytics AG
Wealthtech · Zurich
Goal-based investment advice for Swiss financial institutions. Together we explored core–satellite portfolio optimization with QAOA and the RQP Suite; the result is a quantum-inspired, classically executable alternative now being tested for their pipeline — with a formulation that can move to quantum hardware as it matures.
In collaboration with Felix Csajka, PhD, CFA — Head Investments, 3rd-eyes analytics AG
“An excellent introduction to Quantum Computing. Highly enjoyable and motivating!”
Global Swiss bank
Quant team briefing · 2026
Invited quantum computing briefing for a quant team: quantum fundamentals, algorithm workflows, and a realistic assessment of near-term applicability in finance — no hype, concrete enough for practitioners to act on.
“An excellent introduction — especially valuable because so few people in our field are familiar with the topic yet.”
Selected partners
Delivery with partners for scale: qubit-lab.ch works directly and through consulting partners who own the client programme while qubit-lab.ch brings the quantum method, the RQP platform, and the evidence. How we deliver →
“Very happy to have qubit-lab.ch as our quantum partner — technically rigorous, refreshingly free of quantum hype, and reliable in front of clients.”
