Under the direction of Mobileye founder Amnon Shashua, a research group at the Hebrew University of Jerusalem’s School of Engineering and Computer Science has proven that artificial intelligence (AI) can help us understand the world on an infinitesimally small scale called quantum physics phenomena.
Quantum physics phenomena is one of the hottest topics in contemporary physics. It looks at how particles in nature “come together” and bring along their unique properties, such as electrical conductivity or magnetism. However, it has been almost impossible for even the most seasoned researchers to get more than a glimpse of these complex phenomena. This is because of the enormous number of particles these phenomena contain (over a billion in each gram) and the enormous number of interactions between them. Until now.
A new study published in Physical Review Letters by Professor Shashua’s computer science doctoral students at Hebrew University—Yoav Levin, Or Sharir, and Nadav Cohen—has demonstrated mathematically that algorithms based on deep neural networks can be applied to better understand the world of quantum physics, as well.
These algorithms, the very same ones that gave our computers facial- and voice-recognition capabilities, can now be harnessed to enhance our understanding of the quantum behavior of nature. As lead author Shashua shared, “what we have here is nothing short of extraordinary: a leading physics journal publishing computer science research. This cross-pollination has created a new and important tool that will help us understand the quantum nature of the world around us.”
Like the technological revolutions of the 20th century, gaining a deeper understanding of quantum physics through artificial intelligence has the potential to revolutionize all aspects of our lives, from computing and energy to transportation.
—0—
CITATION: Quantum Entanglement in Deep Learning Architectures. Yoav Levine, Or Sharir, Nadav Cohen, and Amnon Shashua. Phys. Rev. Lett. 122, 065301 – Published 12 February 2019. DOI: 10.1103/PhysRevLett.122.065301.
FUNDING: ISF Center and European Research Council.
Related articles
Human Bitter Taste Receptors Discovered by Hebrew University Researchers Could Lead to New Drug Design
November 26, 2024 — A hidden “pocket” inside one of the body’s bitter taste receptors, called TAS2R14 may change the understanding of the way our tongue senses bitterness, and provide new possibilities for drug design for including asthma and inflammation. According to a new study
Electric Field Signals Can Serve as Early Warning for Extreme Weather, According to Hebrew University Study
November 19, 2024 — Atmospheric electric field measurements, which can serve as early indicators for extreme weather, offer vital real time forecasting capabilities, according to Hebrew University of Jerusalem researchers. In a new study published in Atmospheric Research, the researchers report
12,000-Year-Old Spindle Whorls, Used to Make Yarn, Identified in the Jordan Valley by Hebrew University Researchers
November 14, 2024 — Researchers from the Hebrew University of Jerusalem Computational Archaeology Laboratory have identified 12,000-year-old spindle whorls ─ early stone tools used to spin fibers into yarn ─ at the Nahal-Ein Gev II dig site in northern Israel. This finding, reported in PLOS
