{"id":55141,"date":"2026-01-12T17:00:00","date_gmt":"2026-01-12T16:00:00","guid":{"rendered":"https:\/\/www.11onze.cat\/?p=55141"},"modified":"2026-01-12T17:03:48","modified_gmt":"2026-01-12T16:03:48","slug":"qfs-promise-operational-reality","status":"publish","type":"post","link":"https:\/\/www.11onze.cat\/en\/magazine\/qfs-promise-operational-reality\/","title":{"rendered":"QFS: entre la promesa i la realitat operativa"},"content":{"rendered":"
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Quantum computing is no longer science fiction. Governments, banks, and large corporations are investing billions with the promise of revolutionizing industry, digital security, and also the financial system. But to what extent can it truly transform money? And what is actually true behind concepts such as the \u201cquantum financial system\u201d?<\/b><\/h3>\n

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For decades, the financial system has advanced in parallel with the development of classical computing. Each leap in computing power has made it possible to process more information in less time, accelerating markets, making financial products more sophisticated, and exponentially multiplying the volume of available data. <\/span>This progress, however, has a structural limit<\/b>.<\/span><\/p>\n

The problem is not only the amount of data, but <\/span>the nature of the challenges facing modern finance<\/b>. The management of systemic risk, the optimization of global portfolios with thousands of interdependent variables, real-time fraud detection, or the simulation of crisis scenarios do not grow linearly, but exponentially. <\/span>Each new variable does not add complexity: it multiplies it<\/b>.<\/span><\/p>\n

In this scenario, traditional computers are forced to simplify models, accept approximations, or discard possible scenarios because calculating them all becomes computationally unfeasible. <\/span>This is where the system begins to show signs of exhaustion<\/b>: not because information is lacking, but because there is a lack of real capacity to understand it as a whole.<\/span><\/p>\n

It is precisely at this point of saturation that quantum computing appears as a possible paradigm shift. Not so much to perform the same calculations faster, but to address problems that, until now, <\/span>were practically unsolvable using classical computational logic<\/b>.<\/span><\/p>\n

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What is quantum computing, really?<\/b><\/h3>\n

Quantum computing is not a faster version of today\u2019s computers, but <\/span>a radically different way of processing information<\/b>. While classical computing is based on bits that can only take two possible states \u20140 or 1\u2014 quantum computing uses qubits, units of information that can exist simultaneously in multiple states thanks to the physical phenomenon of quantum superposition.<\/span><\/p>\n

This property does not mean that a quantum computer \u201cknows everything at once,\u201d as is often simplistically presented, but <\/span>rather that it is capable of exploring a much broader solution space in a single computational process<\/b>. Instead of advancing step by step, as a conventional computer does, it can analyze multiple possible paths in parallel.<\/span><\/p>\n

However, this advantage is not universal. <\/span>Quantum computing does not replace classical computing; it complements it<\/b>. It is especially powerful in problems where complexity grows explosively and where traditional methods are forced to simplify, discard variables, or assume approximations.<\/span><\/p>\n

This is the case for:<\/span><\/p>\n