The road to useful quantum finance
The theory is sound, but quantum advantage is not for today.
- Today to 2028Demonstrated so far Dozens logical qubits Small pilots: portfolio optimisation, toy option pricing. No proven advantage.
- 2029 to 2030Vendor roadmaps 100 to 200 logical qubits First error-corrected runs on reduced finance problems. Research value only.
- 2031 to 2034Vendor roadmaps 1,000 to 2,000 logical qubits Amplitude estimation at useful sizes for VaR and credit risk. Advantage still to be shown.
- 2035 and beyondResource estimates About 7,500 logical qubits Advantage on derivatives pricing: autocalls and TARFs in about a second.
Sources: IBM and Quantinuum roadmaps; Chakrabarti et al. (2021). Details in the technology mapping.
Spend the wait well
A quantum pricer will be judged against your best classical one. Making that benchmark strong pays off now, whether quantum arrives in ten years or never.
Benchmark what you run
Independent reference values, documented errors, tests with criteria fixed in advance. The validated kits start here.
Make it faster and safer
Faster pricing and Greeks, richer models compared, validation findings closed. Gains you bank today.
Decide with numbers
A reduced case on a simulator, a resource estimate against your classical cost, and a dated go or no-go.
What Veqctor does
Nothing to upload: no code or data leaves your bank.
Choose a model, download its kit: Python prototype, benchmarks and documentation.
Circuit kits coming soon.