Beyond the decimal point
Sesame Q is a quantum finance laboratory. We build estimation engines that value credit and real assets, and state how sure the value is.
Plate I. An estimate converging as samples grow from 64 to 65,536. Synthetic data.
Classical today. Quantum-ready by design.A loan is not a number.
It is a distribution of outcomes, and most of its risk lives in the tail. Lenders price the centre and provision for the edge by rule of thumb. The difference is measured in basis points in ordinary years, and in balance sheets in the others.
How the laboratory works
Estimation, not prediction
We compute the full distribution of an asset’s value under stress, then report the centre, the tail and our confidence in each.
Classical today
Our engines run now, on classical and quantum-inspired methods, and are tested against the benchmarks institutions already trust.
Quantum-ready by design
The same methods are written for fault-tolerant quantum hardware, where amplitude estimation reaches a given precision with quadratically fewer samples. We will say when that advantage is real, and not before.
Where we begin
Real estate credit and lending, where uncertainty is priced every day and measured rarely. In time, the same engines will serve institutional portfolios.
- Loan valuationThe value of a loan or pool as a distribution, with its interval stated.
- Prepayment and default under stressHow borrowers behave when rates, prices and incomes move together.
- Portfolio tail riskThe losses that matter most, estimated with the precision they deserve.
T. Zhu
Founder
A Stanford-educated engineer and founder of three companies. T founded Tellus, a financial technology platform for savings, real estate lending and property management; led Sodacan, a mobile company, as chief executive; and was chief technology officer of More Corn, acquired by Answers.com.
Sesame Q is recruiting a Chief Quantitative Scientist and researchers in quantum algorithms and quantitative finance.