Quantum Computing (QC) harnesses quantum mechanics to allow for computation in a parallel universe. The three fundamental properties that QC is based on are superposition, entanglement and tunneling.
Revolutionize AI with Quantum
Artificial intelligence is currently facing bottlenecks in reaching the next level of development. Current AI methodology requires energy, time, and is data-consuming. However, it still cannot reach expectations.
This is partially because Moore's Law in classical computer is approaching its limit and classical computer is also restricted by its architecture.
As the core in AI is the optimization problem, Quantum Computing is a natural fit for AI to prosper intelligence technologies to the next level.
Quantum's superposition state can process parallel computing efficiently. On top of that, Quantum's tunneling effect can calculate the global optimum in a planimetric manner. Global optima, on the other hand, can efficiently solve the problem of overfitting and the short-sightedness of local optima.
Introducing Quantum Intelligence
Quantum Intelligence (QI) applies quantum computing technologies in multiple scenarios to achieve combinatorial optimization of all current artificial intelligence methodologies.
QI adds a third dimension, which involves the superposition of two states 0 and 1, to the operation space of a machine learning algorithm to facilitate the exploration of quantum mechanics. The objective of QI is to build a much powerful yet cost-effective intelligent machine.