Optimization and Operations Research
When tackling optimization issues, which entail searching a sizable solution space for the best solution, quantum computers shine. This has uses in resource allocation, financial portfolio optimization, logistics, and supply chain management. For instance, logistic and linear regressions can have greatly increased efficiency with quantum gates specifically, due to their simplification of bits. Complex optimization issues that are impossible for conventional computers to solve can be effectively handled by quantum algorithms, potentially resulting in more effective and affordable solutions. Being affordable is certainly a key attribute of quantum computing within optimizations as there really is no replacement.
 Drug Discovery and Materials Science
Researchers can simulate and look at material behavior, chemical reactions, and molecular activity at the quantum level thanks to the quantum simulation capabilities of modern quantum computers. Understanding specifically molecular interactions and modeling drug efficacy can greatly speed up the creation of novel treatments, making this information important for drug discovery. Similarly to this, using quantum simulations can help create new materials with precise qualities for use in a variety of sectors, especially given quantum computing's ability to operate on such a small scale.