An Argentine Firm Achieved Fusion of Two Supreme Technologies: Artificial Intelligence and Quantum Computing.

Published in Clarin

• The result of this convergence is known as Quantum AI, considered the future of computing.

• What benefits will this system with an astonishing computing capacity bring?

The fusion of quantum computing and artificial intelligence is an emerging field that allows expressing complex calculations at extraordinary speeds. An Argentine startup found the formula to link these two principles in a digital container.

The result of the alliance between software and hardware is Quantum AI, considered the master key that will open the doors of Generative AI to leap into General AI (AGI), an autonomous system that will surpass human capabilities.

The firm /q99, through proprietary technology, enables any proposal to access hypersmart intelligence (HYPERSMART) by capturing and integrating quantum computers, Big Data, and AI models.

"Our first development is an engine that captures and synchronizes enormous amounts of internal and external data with AI models and quantum computing power. Once trained, these systems can manage any process faster, more efficiently, and more sophisticatedly than the best software on the market," explains Facundo Díaz, CEO of /q99.

The great technological limitation

The biggest obstacle of binary computing is the dependence on micro transistors to continue accumulating power. Despite the push from some manufacturers, such as NVIDIA, the capacity of traditional computing is falling behind.

"As we know it, AI operates statistically, generating conclusions with data found on the web. Quantum AI is probabilistic, meaning it not only goes backward to find information but also models forward and from that point, deduces the best solution for each question," says Díaz.

Therefore, the convergence of both technologies is entirely disruptive because it can radically evolve AI, providing it with the necessary power and capacity to solve enigmas.

The secret of the change lies in speed, as these machines can theoretically solve in 600 seconds calculations that would take a traditional computer 1,000 years. This is known in the jargon as quantum supremacy.

"To reach this peak, quantum computers will need to keep one million qubits running without error. Today we are far from this mark, but it is a revolution that can happen in the next 3, 5, or 10 years," warns Díaz.

When this happens, it will change everything known because the machines will have unlimited capacity to process and analyze large volumes of data.

"This will bring thousands of solutions to problems, such as curing chronic diseases, reversing climate change, developing new materials, and alternative forms of energy," adds the CEO of /q99.

A step ahead of supercomputers

As smaller circuits are developed and the limit of materials is reached, the frontier of classical physics laws is reached. From this threshold, one enters the quantum world.

"Quantum computing operates non-linearly and its paradigm is based on probability. Qubits are heirs to subatomic physics, and their particles can reach multiple states simultaneously. Compared to classical machines, this achieves very high power," explains Facundo Díaz, CEO of /q99.

One of the challenges facing Quantum AI is the development of scalable hardware and the creation of algorithms adapted to this processing. Although significant advances have been made in recent years, this race is taking its first steps.

"There are several companies exploring this field. Some use ions, photons, or protons to entangle several qubits to function as a single unit. At the same time, mastering those particles is complex due to their temperature and they also cannot have any movement or interference," acknowledges Díaz.

Moreover, to process the information, quantum computing requires large amounts of resources, such as energy, cooling, and a differential space.

"To input the data, a notebook can be used, although the hardware is completely different from any desktop computer or even any supercomputer that responds to classical parameters," details Díaz.