Artificial intelligence is now able to reconstruct complex quantum systems, and advances in quantum computing could speed up AI.
Quantum physics and artificial intelligence both have caused a lot of head scratching among the scientific community. Rob May at buZZrobot even named 2018 “the year of A.I. confusion.” Even among experts, questions so basic as “What is artificial intelligence?” can create dissonance, though it is being deemed a “suitcase word enclosing a foggy collection of ‘things’”, unlike more concrete aspects of the AI word cloud such as machine learning and neural network. Add to the pot situations like this one where AI created its own language that humans can’t understand, and the situation becomes even more opaque to those not in the field.
Quantum physics is similarly fuzzy in its implications, especially among laymen. Among the more popular facts about quantum mechanics is the “observer effect” in which the outcome of an experiment changes depending on whether or not a particle’s properties are measured–such as is the case with the double-slit experiment.
Recent news suggests the fields of quantum mechanics and artificial intelligence could come together to help one another.
AI reconstructs complex quantum systems
On February 26, a report in Nature Physics called “Neural-network quantum state tomography” outlines the capacity for artificial intelligence to reconstruct a quantum system on just a few measurements compared to more traditional processes. In the past, brute-force methods required 1 million measurements to achieve the same accuracy the AI system accomplished in a mere 100.
This could greatly speed up research in the field of quantum mechanics. “Complex systems that would require thousands of years to reconstruct with previous methods could be wholly analyzed in a matter of hours,” according to Phys.org’s release on the topic.
They also noted that researchers on the project noted that this technology could be of benefit to quantum computer development.
Giuseppe Carleo of the project expressed that the neural network to solve problems in quantum physics was inspired by the Google’s AlphaGo AI.
Quantum Computers to Improve Artificial Intelligence
AI may be beneficial to the development of quantum computers, but the reverse is also true. In a highly detailed article, Quanta Magazine described boosting AI as the number on job for quantum computers. Similarly, Science Daily released a report on February 2, 208 from a group of researchers at Centre for Quantum Technologies at the National University of Singapore proposing a “quantum linear system algorithm” which could help AI think faster.
With present research in mind, it becomes clear that quantum physics and artificial intelligence can go hand in evolutionary hand, disrupting many present understandings along the way. As each augments the other, we are likely to see outstanding research progress and developments that may reach mind-blowing speeds.