Quantum Computing and Artificial Intelligence

Quantum technologies

Quantum technologies are a set of techniques and tools that are based on the laws of quantum physics and are used to address the resolution of complex problems. They are grouped into three large groups:

1. Quantum computing, which is used to perform faster and more accurate calculations than classical computers.
2. Quantum communication, which allows the secure transmission of information over great distances and potentially at higher speeds than classical communications.
3. Quantum measurement (also called quantum sensors
   ), which refers to the use of quantum phenomena
   to measure and detect very weak signals.

Advanced Artificial Intelligence

Advanced Artificial Intelligence is capable of processing large amounts of data and finding patterns that may be difficult for humans to detect and, through machine learning, acquires the ability to adapt and learn from new situations. “The rules of the game are about to change,” say our experts, in areas such as:

• generative artificial intelligence,
• encryption, with infallible algorithms thanks to quantum computers,
• or the acceleration of scientific processes thanks to AI.

Quantum technologies are based on the behavior of matter and energy at the quantum level, that is, at the atomic and subatomic level. Advances in the control and manipulation of atoms
and photons at the individual level are one of the most outstanding achievements of quantum physics in recent years.

The basic piece of information in a quantum system is the qubit, and it can take any value on a continuum of quantum states. Unlike a bit, it can only have two states (zero or one), a qubit can be in a linear combination of both states at the same time (quantum superposition).

This report discusses the development of four of the most relevant quantum technologies that are currently under development:

• Quantum sensorization, with sensors capable of performing complex measurements and state changes,
• Quantum encryption, with more robust algorithms,
• Quantum computing, in full development.
• Quantum communication, using quantum mechanics to transmit information.

What is the most advanced in Artificial Intelligence? What types of AI solutions are we moving towards? How will it be combined with quantum technologies?
In this report we delve into:
– what will be the next big developments and impacts of Artificial Intelligence in the coming years,
– quantum machine learning and human-machine
interfaces and interaction- generative AI

Opportunities of Quantum Technologies + AI

The major business opportunities will be presented mainly in two areas:

• the design and development of the physical components (hardware) needed to create quantum computers and quantum sensor systems.
• the design and development of quantum algorithms.

These opportunities will be developed mainly in the following industries:

• Finance, evolving management systems.
• Chemistry, for the analysis of molecules and the design of new materials.
• Optimization of industries such as logistics, hydrodynamics, etc
• Artificial Intelligence, for the development of quantum machine learning solutions.
• Cybersecurity, implementing post-quantum cryptography algorithms.

Challenges of quantum technologies

The great challenges of quantum technologies are:

• Scientific challenges, especially in resolving the coherence of the results that are compromised by the physical environment.
• Public challenges, governments would have to streamline bureaucratic procedures and bet on investment lines that will boost the industry.
• Industry challenges, focused on understanding the bases of technology and its potential for application, as well as training, acquiring and retaining specialist talent capable of developing it.

Applications with the most potential today

The main applications of quantum technologies in the real world:

• Photon-based quantum computing, which has its greatest potential in tasks such as communications.
• Cloud computing as a catalyst for Quantum Computing, has great potential in processing capacity and decision-making efficiency.
• Quantum sensorization, significant advances are being made such as quantum radar or significant advances in devices capable of measuring human magnetic fields.

Key Industries for High-Impact Applications

During the Future Trends Forum, experts raised the main sectors where the revolution of quantum technologies + AI will have the greatest potential for development and impact capacity. These sectors are:

• Industry
• Telecommunications
• Finance
• Sustainability and climate management
• Pharmacy and biotechnology.

The keys to the success of this revolution of quantum technologies + AI are:

• ethical aspects, the development of science and technology comes ahead of the ethics and governance of its applications. It is important to translate good intentions into effective management strategies for the use of these technologies.
• Education and training in these technologies is crucial for their development. And not only in scientific profiles but also in business profiles that understand its implications.
• a new narrative that clearly informs the complexity of these technologies to fight disinformation and hyperbole, conveying their reality and potential.