blueqat Inc. and Asahi Kasei Corporation published a paper in Nature&#39;s Scientific Reports in 2022. Noise-robust optimization of quantum machine learning models for polymer properties using a simulator and validated on the IonQ quantum computerYuki Ishiyama, Ryutaro Nagai, Shunsuke Mieda, Yuki Takei, Yuichiro Minato &amp; Yutaka Natsume <a href="https://www.nature.com/articles/s41598-022-22940-4" rel="noopener noreferrer" target="_blank" style="color: var(--chakra-colors-blue-500);">https://www.nature.com/articles/s41598-022-22940-4 </a> In quantum gate-based quantum computers, we propose a noise-resilient quantum machine learning model, which has been verified on IonQ&#39;s quantum computer. The quantum circuit utilizes a MERA structure derived from tensor networks.

Asahi Kasei Corporation and blueqat Inc. have published a paper on the quantum machine learning model for predicting polymer properties, verified on the IonQ quantum computer.

Asahi Kasei Corporation and blueqat Inc. have published a paper on the quantum machine learning model for predicting polymer properties, verified on the IonQ quantum computer.

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