Quantum computing promises to solve hugely complex multi-variable problems that are impossible for classical computers to handle. It’s an exciting prospect, and research has come a long way, but quantum computers aren’t ready yet. Today’s experimental quantum systems are still too small to be useful.
Synthetic quantum computing uses conventional computing elements to approximate the behavior of quantum computing. With exceptionally inventive architectures and algorithms, we can manipulate data in ways that mimic the behavior of quantum machines. These systems are slower than true quantum computers, but much larger and more capable.
Applications like cryptography, protein folding, and smart drug design can be addressed effectively with synthetic quantum computing. Where standard computers might require centuries to sift through the possible solutions, synthetic quantum computers would need only hours. A large “truly quantum” computer might accomplish the task in mere minutes, but until such a machine exists, synthetic quantum computing presents a remarkable opportunity to take on challenges at the very edge.