Quantum computing is one of the most promising emerging technologies of the 21st century. Unlike classical computers, which use bits representing 0 or 1, quantum computers use qubits. According to IBM, qubits are generally, but not exclusively, created by manipulating and measuring quantum particles (the smallest known building blocks of the physical universe), such as photons, electrons, trapped ions, superconducting circuits and atoms. 

This type of computing promises to revolutionize areas such as artificial intelligence, computer security, scientific research and the optimization of industrial processes. But how does it really work and what is it used for?

What is quantum computing?

Quantum computing is a branch of computer science based on quantum physics. Instead of working with binary bits, it uses qubits (quantum bits). Thanks to superposition, a qubit can be in multiple states simultaneously. And thanks to entanglement, qubits can influence each other, even at a distance.

This allows much more complex calculations to be performed at an exponentially higher speed than traditional computing. The idea is not to replace current computers, but to complement them in very specific tasks such as molecular simulation, cryptography or advanced search algorithms.

What is quantum computing for?

The potential uses of quantum computing are immense, but among the most prominent are:

• Simulation of molecules and materials: useful in the development of new drugs and sustainable materials.
• Logistics and financial optimization: improving routes, industrial processes and investment strategies.
• Advanced cryptography: both to break current systems and to develop new forms of quantum security.
• Climate modeling and weather forecasting: complex calculations that improve understanding of climate change.
• Artificial intelligence development: train AI models faster and with better results.

What challenges does quantum computing face?

Despite its enormous potential, quantum computing still faces significant challenges:

• Qubit instability: Quantum systems are extremely sensitive to noise and external interference.
• Scalability: Increasing the number of qubits without losing accuracy is one of today's biggest technological challenges.
• Lack of standardization: Multiple platforms and languages exist, making uniform adoption difficult.
• High investment: Requires expensive infrastructure and highly specialized equipment.

Solving these challenges will take time, but steady progress shows that it is a viable path with great rewards.

How to learn quantum computing from scratch?

The good news is that you don't need to be a quantum physicist to get started. There are many resources available today to get you started in this field:

• Online platforms such as Coursera, edX or Udemy offer free and paid courses.
• IBM's Qiskit provides hands-on tools, interactive tutorials and access to real quantum computers.
• Forums and communities such as Stack Overflow, Reddit and GitHub allow to solve doubts and share knowledge.

Starting by learning Python and becoming familiar with the basics of quantum mechanics is the first step to entering one of the most disruptive technological fields of the future.

Conclusion

Quantum computing is not only the future: it is already part of the present. Although in Spain we are still in the development phase, the advances are promising. Learning about it can open the door to unique professional opportunities in a highly demanded sector.

For this reason, at Qaleonwe are committed to technological progress in order to revolutionize the industry and care for the environment through sustainability. That is why we have developed SineQia® an innovative 360 platform that provides real-time tracking of key KPIs and metrics related to business sustainability.

With SineQia® you can make informed decisions based on accurate data, optimize your processes and meet sustainability goals efficiently and transparently.