GPU optimization / live API
Bounded-bond tensor-network optimization.
A real transfer-tensor contraction for sparse QUBO and Ising models. The frontier is truncated to a declared bond dimension, every returned objective is recomputed, and heuristic runs never claim a certified bound or global optimum.
Maximum variables
256
Bond dimension
2–4,096
A10G p95 / 256
80.840 ms
Production boundary
Exact enumeration is available through 18 variables. Above that threshold, bounded-bond-transfer-contraction-torch-v1 is explicitly heuristic. Inputs are bounded inline data and are not echoed by the job API.
const result = await maha.optimization.solveTensorNetwork({
clientRequestId: crypto.randomUUID().replaceAll('-', ''),
problem: { formulation: 'qubo', size: 3, terms },
solver: { bondDimension: 256, exactThreshold: 18 }
})