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 糖心传媒檚 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糖心传媒檚 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.
糖心传媒淔or the first time, we have been able to produce a quantum-correlated synthetic crystal,糖心传媒� says Lin. 糖心传媒淥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.糖心传媒�
The researchers say that this system can serve as a basis for more intricate simulations in the future.
糖心传媒淭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,糖心传媒� says Usman Javid 糖心传媒�23 PhD (), the lead author on the study.
Other coauthors from Lin糖心传媒檚 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糖心传媒檚 Joint Science and Technology Office for Chemical and Biological Defense, and the Defense Advanced Research Projects Agency.
