Sökning: "Second quantization"
Visar resultat 1 - 5 av 23 uppsatser innehållade orden Second quantization.
1. Methods for Developing TinyConvolutional Neural Networksfor Deployment on EmbeddedSystems
Master-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : With the recent development in the Deep Learning area, computationally heavy tasks like object detection in images have become easier to compute and take less time to execute with powerful GPUs. Also, when employing sufficiently larger models, these daily tasks are predicted with greater accuracy. LÄS MER
2. Design of a grating lobe mitigated antenna array architecture integrated with low loss PCB filtering structures
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Massive multiple input multiple output - MIMO systems are a reality and modern communication systems rely upon this technology to cope with the increasing need for capacity and network usage. Antenna arrays are at the heart of the of the massive-MIMO system and are the enabling technology. LÄS MER
3. Investigation of a newrepresentation of spin
Kandidat-uppsats, Uppsala universitet/MaterialteoriSammanfattning : The Bose-Hubbard Model, a tight binding model within solid state theory can be solved exactly using a number theoretical approach. From this approach, in the two sited Bose-Hubbard model, the hopping term in the model takes the form of a Pauli x matrix. The hopping term can be interpreted as a two energy level system or a dimer with k+1 particles. LÄS MER
4. The V-SLAM Hurdler : A Faster V-SLAM System using Online Semantic Dynamic-and-Hardness-aware Approximation
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Visual Simultaneous Localization And Mapping (V-SLAM) and object detection algorithms are two critical prerequisites for modern XR applications. V-SLAM allows XR devices to geometrically map the environment and localize itself within the environment, simultaneously. LÄS MER
5. System Identification of continuous-time systems with quantized output data using indirect inference
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Continuous-time system identification is an important subject with applications within many fields. Many physical processes are continuous in time. Therefore, when identifying a continuous-time model, we can use our insight into the system to decide the system structure and have a direct interpretation of the parameters. LÄS MER