Quantum artificial intelligence is an interdisciplinary field that focuses on building quantum algorithms for improving computational tasks within artificial intelligence, including sub-fields like machine learning.  This so-called “quantum brain” is an example of neuromorphic computing, computing systems designed to mimic the biological structures of the brain. In the end, this technology could enable robots embedded with a tiny piece of computing hardware in their “brains” to make decisions on their own.

Quantum brain neuromorphic computing is an important example of future computing. Our human brain uses the signals sent by our neurons to create all kinds of calculations. Similarly, the quantum brain uses cobalt atoms on the superconducting black phosphorus surface to simulate the process of human brain signals. Quantum properties have unique spin states of cobalt, which take information to promote ‘neuron firing’ with applied voltage. This helped atoms achieve self-adaptation behavior based on external stimuli.

Quantum computing can power an optimized and steady AI to complete analysis in a short time, as opposed to years of work that would delay any and all technological advancements. According to researchers, a realistic aim for quantum AI is to replace traditional algorithms with quantum algorithms. These quantum algorithms can have several use cases to further advancements.

Googling your favorite restaurant’s hours may seem like an energy-free computation, but in the grand scheme these calculations add up to a substantial carbon footprint, and the magnitude of these computations is only growing. Alexander Khajetoorians is first author of this new study and professor of scanning probe microscopy at the Radboud University. He explains in a statement that, to meet computation’s growing requirements and lower its energy-footprint, scientists need to seriously rethink how machines store and process information. “This requires not only improvements to technology, but also fundamental research in game changing approaches,” Khajetoorians says.