Quantum computing is an emerging field that takes advantage of the principles of this type of mechanics to carry out complex calculations at speeds unimaginable with classical computers. Unlike conventional bits, which can only be expressed in two ways—0 and 1—quantum bits—qubits—can exist in multiple states simultaneously.
This unique property is what is changing the rules of artificial intelligence. The systems depend largely on the processing of large volumes of information in real time, which involves performing complex mathematical operations. Well, no other solution like quantum computing responds so efficiently to this need.
Thanks to this innovation, machine learning algorithms are more competent and decisive. They are, for example, in image recognition or natural language processing, two of the great challenges of the fifth industrial revolution in all types of sectors and activities.
The same happens with a couple of other tasks entrusted to artificial intelligence, such as route planning – by land, sea and air – and the allocation of resources and personnel. Quantum machine learning is a subfield where computing and artificial intelligence combine.
Certain challenges that until now seemed impossible to overcome could be solved with this technology, according to analysts. In this regard, the catalog of promises is abundant. Thus, the synergy between quantum computing and artificial intelligence is reflected in quantum neural networks.
Qubits are used in this case to work with data at a rate that represents an exponential acceleration. Never before has it been so easy to find hidden patterns or correlations in large sets of information. Engineers are thinking about how to get around current hardware limitations and restrictions due to environmental factors.
