qubit-lab.ch

Quantum Computing for Financial Services.

For a financial institution, quantum computing is a risk you must understand and manage — and an opportunity you can capture and measure.

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 →

Quantum Opportunity

New quantum methods for optimization, fraud detection, and classification are maturing. 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. Low effort, a few months — and you decide whether to go further, and at what pace.

See the quantum sprint →

Book an Intro Call

A relaxed 30 minutes — management-friendly or physicist to physicist. No slides, no strings attached.

▶ Watch: Agentic quantum computing by qubit-lab.ch (4 min)

Services

Practical quantum guidance rather than abstract technology talk, with the strongest focus on financial services and regulated environments. The offerings form 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 Advisory

Structured support for organizations exploring realistic quantum use cases, PoCs, decision paths, and internal next steps.

Step 2 · Enable the team

Quantum Capability Kickstart

Five interactive sessions for quant, risk, data science, innovation, and technology teams, focused on quantum fundamentals, coding, simple circuits, algorithm workflows, and practical experimentation.

Flat team price for up to 8 participants

Step 3 · Explore on your own data

RQP Exploration

Six weeks of team access to the RQP suite: test your own candidate use cases on your own data — every result checked against an exact classical referee.

Quantum Risk · separate track

PQC Readiness

Practical support for post-quantum cryptography awareness, exposure visibility, stakeholder alignment, and readiness planning.

PQC offerings →

Explore Services Discuss your first quantum use case

Evidence, not promises

Every quantum claim we make is benchmarked against an exact classical referee — and published. Three sample runs, numbers unedited:

0.0%

QAOA gap to the certified optimum

78-asset portfolio, 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”

The verdict we shipped when classical won

On an energy-price dataset our own product recommended staying classical — measured, printed, and monitored until the answer flips.

See the published numbers

Daniel Hug

Founder · MSc Physics ETH Zurich · MBA · PMP

Physicist and senior transformation professional with leadership experience across UBS, Credit Suisse, and SIX. Years of delivering regulated change in large financial institutions shaped a simple conviction: broad exploratory programs stall, while small fixed-scope steps that end in a clear decision move organizations forward. qubit-lab.ch is built on that conviction.

Connect on LinkedIn More about qubit-lab.ch

Selected work

3rd-eyes analytics AG

Wealthtech · Zurich

3rd-eyes analytics provides goal-based investment advice to financial institutions in Switzerland. Together we explored quantum approaches to core–satellite portfolio optimization — related to the goal-based, liability-aware variant used in their optimization engine — using QAOA and the RQP Suite. The joint work produced a quantum-inspired, classically executable alternative now being tested for their pipeline — and the same problem formulation can move to quantum hardware as it matures.

In collaboration with Felix Csajka, PhD, CFA — Head Investments, 3rd-eyes analytics AG

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.”
— Quantitative Analyst (PhD), participant

Selected partners

qubit-lab.ch works with selected partners to support practical quantum computing enablement, enterprise technology perspectives, market access, and post-quantum cryptography readiness.

“Very happy to have qubit-lab.ch as our quantum partner — technically rigorous, refreshingly free of quantum hype, and reliable in front of clients.”
— Horn & Company

Insights

Browse all

Focused videos, practical examples, and hands-on quantum coding that connect quantum theory with real-world experimentation in finance, chemistry, and beyond.

Agentic Quantum Finance: One Prompt, One Certified Report

FINANCE#23

Released 17 Jul 2026

Agentic Quantum Finance: One Prompt, One Certified Report

Open on YouTube

We typed one paragraph into an AI chat: replicate the EURO STOXX 50 with about 15 names, keep the tech and energy leaders, exclude ASML, bundle the rest by CIO themes - and get the certified report. The agent pulled live index data, built and validated the workbook, ran QAOA on the Index Replication RQP against the exact classical referee, and delivered the certified PDF. When we asked whether it could do better, the answer was no - with the mathematical proof attached. Works from Claude, ChatGPT, Gemini - any assistant that speaks MCP. Not investment advice; a technical demonstration on real market data.

Finance

Replicate the S&P 500 With Just 20 Stocks - Index Replication RQP

FINANCE#22

Released 17 Jul 2026

Replicate the S&P 500 With Just 20 Stocks - Index Replication RQP

Open on YouTube

All 500 S&P constituents stay in the objective - nothing swept under the rug. The Index Replication RQP selects a 20-name basket (fixed mega-cap core, CIO theme bundles, ESG exclusion) that tracks the index, with QAOA benchmarked against a SCIP-certified exact referee. The referee proves the optimum, prices every mandate rule in tracking error, and reports the irreducible floor of the instrument pool. Real SPY weights, real covariance, every number certified.

Finance

Optimize an Existing Portfolio + New Capital - Quantum, With a Certified Referee

FINANCE#21

Released 17 Jul 2026

Optimize an Existing Portfolio + New Capital - Quantum, With a Certified Referee

Open on YouTube

A Swiss private-bank use case, end to end: an existing global portfolio of 30 positions plus USD 250k of new capital, allocated under real mandate rules - budget, EU/Swiss exposure, tech bands, and thematic bundles. 78 positions evaluated, 23 optimization decisions. The Portfolio Optimization RQP runs QAOA and checks it against an exact classical solver (MIQP/SCIP) as a second opinion: the quantum result matches the certified optimum to the digit. Excel workbook in - certified PDF report, Qiskit/PennyLane/Cirq notebooks, and raw JSON out.

Finance

STQ#5

Released 17 Jun 2026

Testing Quantum Computing in Finance: The RQP Suite

Open on YouTube

Quantum computing is often discussed for finance use cases such as optimization, machine learning, and simulation. But before organizations can assess its relevance, they need a structured way to test quantum algorithms against classical baselines. This video introduces the Rapid Quantum Prototyping Suite by qubit-lab.ch, including modules for QAOA portfolio optimization, quantum machine learning with VQC and QSVM, and Quantum Monte Carlo experiments. The goal is practical experimentation, transparent benchmarking, and informed evaluation.

STQ Finance

QAOA Today: How Far Can NISQ Hardware Really Go? (as of April 2026)

STQ#4

Released 10 Apr 2026

QAOA Today: How Far Can NISQ Hardware Really Go? (as of April 2026)

Open on YouTube

QAOA is often presented as a promising approach for tackling complex optimization problems. But its real value depends on what today’s hardware can actually support. Current NISQ devices come with strict limitations: noise, limited connectivity, and shallow circuit depths. These are not minor details, they fundamentally shape what QAOA can and cannot achieve in practice. This video takes a grounded look at these constraints and translates them into realistic expectations. Not as a final verdict, but as a clearer picture of where we stand today and what remains out of reach.

STQ Deep Dive Finance

QAOA vs. Classical Search: How Quantum Optimization Redirects the Search

FINANCE#20

Released 02 Apr 2026

QAOA vs. Classical Search: How Quantum Optimization Redirects the Search

Open on YouTube

This video visually compares a classical sequential search with quantum optimization using QAOA. While the classical approach evaluates candidates one by one, QAOA reshapes probabilities across the full solution space to guide the search toward better outcomes. The side-by-side visualization shows how both approaches behave and why quantum optimization differs fundamentally from classical candidate-by-candidate evaluation. The QAOA search shown here is based on a real QAOA run, not a mockup.

Finance Deep Dive

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