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Scientists edge toward scalable quantum simulations on a photonic chip

A new system developed by researchers at the 人妻少妇专区 allows them to conduct quantum simulations in a synthetic space that mimics the physical world by controlling the frequency, or color, of quantum entangled photons as time elapses. (人妻少妇专区 illustration / Michael Osadciw)

A system using photonics-based synthetic dimensions could be used to help explain complex natural phenomena.

Scientists have made an important step toward developing computers advanced enough to simulate complex natural phenomena at the quantum level. While these types of simulations are too cumbersome or outright impossible for classical computers to handle, photonics-based quantum computing systems could provide a solution.

A team of researchers from the 鈥檚 Hajim School of Engineering & Applied Sciences developed a new chip-scale optical quantum simulation system that could help make such a system feasible. The team, led by , a professor of and , .

Lin鈥檚 team ran the simulations in a synthetic space that mimics the physical world by controlling the frequency, or color, of quantum entangled photons as time elapses. This approach differs from the traditional photonics-based computing methods in which the paths of photons are controlled, and also drastically reduces the physical footprint and resource requirements.

鈥淔or the first time, we have been able to produce a quantum-correlated synthetic crystal,鈥 says Lin. 鈥淥ur approach significantly extends the dimensions of the synthetic space, enabling us to perform simulations of several quantum-scale phenomena such as random walks of quantum entangled photons.鈥

The researchers say that this system can serve as a basis for more intricate simulations in the future.

鈥淭hough the systems being simulated are well understood, this proof-of-principle experiment demonstrates the power of this new approach for scaling up to more complex simulations and computation tasks, something we are very excited to investigate in the future,鈥 says Usman Javid 鈥23 PhD (), the lead author on the study.

Other coauthors from Lin鈥檚 group include Raymond Lopez-Rios, Jingwei Ling, Austin Graf, and Jeremy Staffa.

The project was supported with funding from the National Science Foundation, the Defense Threat Reduction Agency鈥檚 Joint Science and Technology Office for Chemical and Biological Defense, and the Defense Advanced Research Projects Agency.