quantumcomputingreport.com
Q-CTRL Expands Fire Opal Suite with Constrained Optimization, Estimator Twirling, and Monte Carlo Solver
Q-CTRL has upgraded its Fire Opal platform with three major features: native hard‑constraint support for the Quantum Approximate Optimization Algorithm (QAOA), zero‑overhead Pauli twirling for expectation‑value estimation, and a Monte Carlo integration module aimed at quantitative‑finance workloads. The hard‑constraint capability embeds Hamming‑weight‑1 limits directly into the solver, eliminating soft‑penalty terms that waste circuit depth and ensuring that QAOA searches only feasible states. The update is demonstrated on a 120‑qubit train‑station routing problem, a 156‑qubit higher‑order binary optimization spin‑glass, and [...]