In the world of computing, the fusion of quantum computing and artificial intelligence is an emerging field that holds immense potential. An Argentine startup, q99, has taken the lead in this area by developing a formula for combining these two principles in a digital container. This innovative approach has led to the creation of quantum AI, which is seen as the key to unlocking Generative AI and advancing to General AI (AGI) – an autonomous system that will surpass human capabilities.
The traditional binary computing relies heavily on microtransistors, which limits its potential for growth. While some companies like NVIDIA are pushing boundaries, classical computing capacity is struggling to keep up. Quantum AI, on the other hand, is probabilistic and can model forward and deduce the best solution for any given problem. This disruptive convergence of quantum computing and AI is transforming the field by providing unparalleled processing power and problem-solving capabilities.
q99 uses proprietary technology to allow any project to tap into hyper intelligence (HYPERSMART) by integrating quantum computers, Big Data, and AI models. The dream of quantum AI becoming a reality lies in the development of error-free quantum computers with millions of cubits. While we may still be years away from achieving this, the potential impact on society is profound. From curing chronic diseases to reversing climate change, quantum AI holds the promise of solving some of the world’s most pressing issues. As technology advances and classical physics are pushed beyond their limits, new opportunities for innovation and progress arise in the world of quantum computing.
Challenges such as developing scalable hardware and creating algorithms suitable for quantum processing must be overcome to fully realize the potential of quantum AI. Companies are exploring various methods, from using ions and photons to manipulate qubits to efficiently controlling these particles despite their sensitivity to temperature and external interference. Quantum computing requires significant resources such as energy