ChemicalQDeviceThe Practical Era of QiML 2.0 for Healthcare
The Practical Era of Quantum-inspired Machine Learning 2.0 for Healthcare is Beginning, February 17, 2024 
References:[01] QML,QIML Development in Healthcare.pdf. (n.d.). Google Docs.[02] Quantum Machine Learning Algorithms for Medical School Research 1-18-24.pdf. (n.d.-b). Google Docs.[03] Effective Quantum ML Algorithm Implementations for Medical R&D 1-25-24.pdf. (n.d.-b). Google Docs.[04] Quantum Algorithm Time Complexity Analysis, and Future QML, QIML 2-1-24.pdf. (n.d.-c). Google Docs.[05] Medical Quantum-inspired Machine Learning Software Migration.pdf. (n.d.-e). Google Docs.[06] Medical Quantum-Inspired Machine Learning Software Migration Seminar 02-08-24.pdf. (n.d.-b). Google Docs.[07] Appreciably Better Quantum-inspired Processing vs. the Rest of the Field 02-12-24.pdf. (n.d.-b). Google Docs.[08] Bakshi, A., & Tang, E. (2024d). An improved classical singular value transformation for quantum machine learning. In Society for Industrial and Applied Mathematics eBooks (pp. 2398–2453).[09] Tindall, J., Fishman, M., Stoudenmire, E. M., & Sels, D. (2024d). Efficient tensor network simulation of IBM’s eagle kicked ising experiment. PRX Quantum, 5(1).[10] Maslov, D. (2024d, February 5). Fast classical simulation of Harvard/QuEra IQP circuits.[11] Center for Devices and Radiological Health. (2023, December 6). Artificial Intelligence and Machine Learning (AI/ML)-Enabled medical devices. U.S. Food And Drug Administration.[12] QML,QiML Industry is Progressed.pdf. (n.d.-b). Google Docs.[13] Huynh, L. (2023c, August 22). Quantum-Inspired Machine Learning: a Survey.
Created by Kevin Kawchak Founder CEO ChemicalQDevice2024 San Diego, CaliforniaHealthcare Innovation