# New classical algorithm enhances understanding of quantum computing's future

**URL:** <https://community.materialssquare.com/t/new-classical-algorithm-enhances-understanding-of-quantum-computings-future/638>\
**Category:** News\
**Created:** [September 12, 2024, 3:57pm UTC](https://community.materialssquare.com/t/new-classical-algorithm-enhances-understanding-of-quantum-computings-future/638 "2024-09-12T15:57:57Z")\
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**Author:** ![gabriele1](https://yyz1.discourse-cdn.com/flex003/user_avatar/community.materialssquare.com/gabriele1/32/20_2.png) [@gabriele1](https://community.materialssquare.com/u/gabriele1)\
**Post date:** [September 12, 2024, 3:57pm UTC](https://community.materialssquare.com/t/new-classical-algorithm-enhances-understanding-of-quantum-computings-future/638/1 "2024-09-12T15:57:57Z")

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This article discusses a new classical algorithm developed by researchers from the University of Chicago that simulates Gaussian boson sampling (GBS), a key quantum computing problem. This algorithm efficiently simulates noisy GBS experiments, challenging the claimed “quantum advantage” of some quantum computers. It highlights how noise impacts quantum systems and provides insights for improving both quantum experiments and their real-world applications, like cryptography and materials discovery, by integrating classical and quantum computing methods.

You can read more here:

> **[New classical algorithm enhances understanding of quantum computing's future](https://phys.org/news/2024-09-classical-algorithm-quantum-future.html)**
>
> In an exciting development for quantum computing, researchers from the University of Chicago's Department of Computer Science, Pritzker School of Molecular Engineering, and Argonne National Laboratory have introduced a classical algorithm that...