Quantum speedup, circuit decoupling, and stochastic modelling: on how quantum theory improves machine-learning, and how machine-learning helps to process quantum information

• المؤلف الرئيسي: Wang, Ximing
• مؤلفون آخرون: Gu Mile
• التنسيق: Thesis-Doctor of Philosophy
• اللغة: English
• منشور في: Nanyang Technological University 2025
• الموضوعات: Physics; Quantum algorithm; Quantum machine learning; Stochastic process
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/181886

In today's data-driven society, the importance of data is ever-increasing. The ability to discern patterns and trends in this data allows us to make predictive and informed decisions. This quest for enhanced data analysis has fueled the evolution of machine learning. Quantum Machine Learning (Q...