Applications
What quantum computing is worth to your industry, measured
Every page here takes one real problem from an industry, runs it on our quantum engines, runs it again on the best classical solver available, and publishes both results side by side. Including the runs where classical computing wins, which is most of them today.
These are not case studies and they are not projections. They are benchmarks with stated methods, seeded instances anyone can regenerate, and a certified error bound on every approximate result. You can load the same circuit into the console, change the instance to your own numbers, and export a certificate for your own run rather than citing ours.
Finance and trading
Cardinality-constrained portfolio selection
QAOA against exhaustive enumeration
Quantitative research, treasury, risk
Chemicals and pharmaceuticals
Molecular ground-state energy
VQE against exact diagonalisation
Computational chemistry, materials, drug discovery R&D
Cryptography and digital assets
When current encryption becomes breakable
Quantum resource estimation
Security, compliance, custody
Space and satellites
Satellite observation tasking
QAOA against OR-Tools CP-SAT
Mission planning, earth observation, constellation operators
Logistics and transportation
Vehicle routing and delivery planning
Encoding cost against OR-Tools routing
Fleet operations, distribution, supply chain
Manufacturing and production
Job-shop scheduling and makespan
Encoding cost against CP-SAT
Plant operations, industrial engineering
Why we publish the losses
Quantum computing does not currently beat classical computing on most problems industry actually has. Any vendor telling you otherwise is selling something, and the sophisticated buyer in every one of these sectors already knows it.
So these pages are built to answer a different question: at the size you can test today, how do the two compare, and at what size does the classical method stop being tractable? That second number is the one worth taking to a decision maker, because it tells you when to look again rather than what to buy now.
A benchmark that only ever reports wins tells you nothing, because you cannot know which results were discarded. The rules every page follows are written down.
Read the benchmark methodologyWorking in a sector not covered here? Most industrial problems reduce to one of three shapes we already run: combinatorial optimisation, quantum chemistry, or cryptographic resource estimation. Tell us the problem and we will benchmark it.