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TEHRAN (ANA)- Experimental device harnesses quantum properties for efficient processing at room temperature.<\/p>\n
Engineers are working to design computers capable of handling a difficult class of tasks known as combinatorial optimization problems. These challenges are central to many everyday applications, including telecommunications planning, scheduling, and route optimization for travel, the journal Physical Review Applied reported.<\/p>\n
Current computing technologies face physical limits on how much processing power can be built into a chip, and the energy required to train artificial intelligence models is enormous.<\/p>\n
A collaborative team from UCLA and UC Riverside has introduced a new strategy to address these limitations and tackle some of the hardest optimization problems. Instead of representing all information digitally, their system processes data through a network of oscillators \u2014 components that shift back and forth at defined frequencies. This architecture, called an Ising machine, excels at parallel computing, enabling many calculations to run at the same time. The solution to the problem is reached when the oscillators fall into synchrony.<\/p>\n
In their report, the researchers described a device that relies on quantum properties connecting electrical activity with vibrations inside a material. Unlike most existing quantum computing approaches, which must be cooled to extremely low temperatures to preserve their quantum state, this device can function at room temperature.<\/p>\n
\u201cOur approach is physics-inspired computing, which has recently emerged as a promising method to solve complex optimization problems,\u201d said corresponding author Alexander Balandin, the Fang Lu Professor of Engineering and distinguished professor of materials science and engineering at the UCLA Samueli School of Engineering. \u201cIt leverages physical phenomena involving strongly correlated electron\u2013phonon condensate to perform computation through physical processes directly, thus achieving greater energy efficiency and speed.\u201d<\/p>\n
The research showed that oscillators naturally evolve to a ground state, in which they\u2019re synced up, allowing the machine to solve combinatorial optimization problems.<\/p>\n
Balandin and his colleagues used a special material to bridge the gap between quantum mechanics \u2014 counterintuitive rules governing interactions between subatomic particles \u2014 and the more familiar physics of everyday life. Their prototype hardware is based on a form of tantalum sulfide, a \u201cquantum material\u201d that makes it possible to reveal the switching between electrical and vibrational phases.<\/p>\n
The new technology has the potential for low-power operation; at the same time, it can be compatible with conventional silicon technology.<\/p>\n
\u201cAny new physics-based hardware has to be integrated with the standard digital silicon CMOS technology to impact data information processing systems,\u201d said Balandin, a member of the California NanoSystems Institute at UCLA, or CNSI. \u201cThe two-dimensional charge-density-wave material that we selected for this demonstration has the potential for such integration.\u201d<\/p>\n
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