Building together

Case studies we build together

Living deep-dives.

Our case studies aren't finished products for sale. They're living deep-dives the community nurtures. We unpack a real problem in an open meetup, then take it into focused, objective-driven meets where smaller groups carry it toward a prototype. AgriTech, drug discovery and routing are where our founders are focused first.

01 / the flow

From idea to working group.

OPEN

Deep-dive meet

A full-community session unpacks the problem and maps it to the right quantum method: the "is this even quantumizable?" conversation.

FOCUSED

Objective meet

A smaller group meets with a specific objective: formulate the QUBO/Hamiltonian, pick the algorithm, define a measurable milestone.

BUILD

Working group

A small team nurtures the case study between meets, prototyping on cloud QPUs and reporting back to the community.

02 / active cases

Real problems mapped to quantum methods.

Join a working group, or propose a new one for a future meet.

01

AgriTech

National weather models forecast on 10 to 100 km grids: right for the district, wrong for the farmer. Can quantum bring microclimate forecasting and catalysis (nitrogen fixation) to field resolution?

Method: Simulation · VQE / hybrid grids
Aim: Per-field irrigation & yield-risk windows

02

Drug Discovery

Exact classical simulation of a 100-electron compound is physically impossible. Can we simulate binding affinity and conformation well enough to shortlist candidates before the lab?

Method: Molecular simulation · VQE
Aim: Shortlist candidates, faster screening

03

Routing & Optimization

50 cities produce more route permutations than there are atoms in the observable universe. Can we optimise fleet routing (fuel, driver hours, port dwell) where classical solvers time out?

Method: Optimization · QAOA / QUBO
Aim: Cheaper routes on live cargo networks

03 / The Quantumizable Framework

Is it even a quantum problem? Four tests.

Quantum processors are specialised accelerators, not general-purpose hosts. Every case study we take on has to pass all four. Fail one, and the honest answer is simple: keep it classical.

01

Exponential state space

The problem grows combinatorially, not linearly.

02

Structured interference

There's a pattern amplitudes can reinforce or cancel.

03

Small in, small out

Little data in, a short answer out, so I/O isn't the bottleneck.

04

Intractable today

No classical heuristic already solves it well enough.

04 / How we work these problems

The algorithms we run live on a cloud QPU.

The skill that matters isn't gate-level dexterity, it's knowing which algorithm family a problem belongs to.

OPTIMISATION

QAOA

Alternating cost & mixer layers walk the solution landscape. Hybrid: CPU tunes angles, QPU scores candidates.

CHEMISTRY

VQE

The workhorse of NISQ-era chemistry. QPU measures energy, CPU nudges the atoms, converging to the ground state.

SEARCH

Grover

An oracle marks the target; amplitude amplification lifts its probability. Quadratic: √N, not exponential.

SECURITY

QRNG & QKD

Harvest genuine physical randomness from measurement: no seed, no pattern. Already shipping commercially.

MACHINE LEARNING

QML

Project cluttered data into a high-dimensional space for separations invisible in the original dimensions.

MEET 3

Shor & PQC

Cryptography, code-breaking and Shor's algorithm in depth, plus the post-quantum migration.

Bring us a challenge!

Have a problem from your own domain?

Bring it to a meet. If it passes the four tests, we'll spin up an objective meet around it.