Optimize under your constraints.
Give each item a value and set a hard cap. Forge maps it to a QUBO/Ising problem and solves it with simulated annealing — quantum-inspired, on classical hardware. It is not a quantum computer and not investment advice; it solves the constraints you define.
Runs a QUBO / simulated-annealing solver on the server. Not investment advice — it solves the constraints you define.
How it works, and where it wins
- QUBO / Ising. Your items + cap become an energy landscape where the best subset is the lowest-energy state — the universal language of quantum optimization.
- Simulated annealing. A solver inspired by quantum/thermal tunnelling explores that landscape and settles into a near-optimal answer. Deterministic (seeded), so results are reproducible.
- Where it wins. Genuinely multi-constraint, combinatorial problems — not simple sorts. A plain classical solver can beat it on well-structured cases; we say so.
- Future-ready. Because the problem is already in QUBO form, the same input could later be sent to real quantum hardware and compared — no rewrite.
Quantum-inspired, on classical hardware — not a quantum computer, and not investment advice.