Solve optimization problems
classical solvers can't

In practically every industry, optimization problems are ubiquitous and traditional optimizers often fall short, proving to be sub-optimal and time-consuming.

The challenges are particularly accentuated in the context of discrete and mixed-integer NP-Hard problems, where the necessity to explore millions of combinations presents a formidable complexity. Traditional approaches often stumble on two major hurdles:

With iQ Xtreme, we use quantum-inspired optimization algorithms that simulate quantum effects on classical computers, resulting in new numerical methods for these problems.

These algorithms are rooted in the natural principles of atomic cooling and self-organization into crystals, a process known as annealing. Unlike other conventional methods, they are global-based rather than local-based, avoiding the trap of getting stuck in a local optimum.

This is what lets us improve the quality of optimization results, offering solutions that are efficient and practical for your business needs, without requiring you to understand the algorithm to trust the outcome.