Sökning: "quantum machine learning"

Visar resultat 1 - 5 av 17 avhandlingar innehållade orden quantum machine learning.

1. 1. Machine learning for quantum information and computing

   Författare :Shahnawaz Ahmed; Chalmers tekniska högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; quantum machine learning; quantum process tomography; quantum information; Machine learning; generative neural networks; variational quantum algorithms; quantum state tomography; optimization; quantum computing; Bayesian estimation;

   Sammanfattning : This compilation thesis explores the merger of machine learning, quantum information, and computing. Inspired by the successes of neural networks and gradient-based learning, the thesis explores how such ideas can be adapted to tackle complex problems that arise during the modeling and control of quantum systems, such as quantum tomography with noisy data or optimizing quantum operations, by incorporating physics-based constraints. LÄS MER

3. 2. Quantum state characterization with deep neural networks

   Författare :Shahnawaz Ahmed; Chalmers tekniska högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Machine learning; classification; optical quantum states.; quantum state tomography; deep neural networks; bosonic states; quantum computing; reconstruction; quantum state discrimination;

   Sammanfattning : In this licentiate thesis, I explain some of the interdisciplinary topics connecting machine learning to quantum physics. The thesis is based on the two appended papers, where deep neural networks were used for the characterization of quantum systems. LÄS MER

4. 3. Shedding light on liquid chromophores using machine learning

   Författare :Eric Lindgren; Chalmers tekniska högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; machine learning; molecular dynamics; neutron scattering; machine learned force fields; chromophores;

   Sammanfattning : Chromophores are a class of molecules with widespread use in nature. Chlorophyll in plants contain chromophores making photosynthesis possible and the retinal molecules in our eyes have chromophores making the world around us visible. LÄS MER

5. 4. Theoretical prediction of properties of atomistic systems : Density functional theory and machine learning

   Författare :Alexander Lindmaa; Rickard Armiento; Igor Abrikosov; Torbjörn Björkman; Linköpings universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

   Sammanfattning : The prediction of ground state properties of atomistic systems is of vital importance in technological advances as well as in the physical sciences. Fundamentally, these predictions are based on a quantum-mechanical description of many-electron systems. LÄS MER

7. 5. Organic Electrode Battery Materials : A Journey from Quantum Mechanics to Artificial Intelligence

   Författare :Rodrigo P. Carvalho; Moyses Araujo; Daniel Brandell; Susanne Mirbt; Wolfgang Wenzel; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Batteries; Artificial Intelligence; Organic electrodes; High-voltage cathode materials; Machine learning; Materials discovery; High throughput screening; Physics with spec. in Atomic; Molecular and Condensed Matter Physics; Fysik med inriktning mot atom- molekyl- och kondenserande materiens fysik;

   Sammanfattning : Batteries have become an irreplaceable technology in human life as society becomes progressively more dependent on electricity. The demand for novel battery technologies has increased fast, especially with the popularisation of different portable devices. LÄS MER