Sökning: "noise systems"

Visar resultat 1 - 5 av 498 uppsatser innehållade orden noise systems.

  1. 1. Robust non-Abelian geometric phases on three-qubit spin codes

    Master-uppsats, Uppsala universitet/Materialteori

    Författare :Parham Azish; [2024]
    Nyckelord :Quantum information theory; Holonomic quantum computing; non-abelian systems;

    Sammanfattning : Quantum holonomies are non-Abelian Geometric Phases predominantly observed in adiabatic, non-adiabatic, or measurement-based quantum evolutions. Their significance lies in their potential utility within quantum computing due to their robustness against noise throughout the parameter path. LÄS MER

  2. 2. Probabilistic Exact Inversion of 2-qubit Bipartite Unitary Operations using Local Operations and Classical Communication

    Master-uppsats, KTH/Fysik

    Författare :Ludvig Lindström; [2024]
    Nyckelord :Resource Theory; Resource theory of entanglement; Quantum Information Theory; Quantum Computing; Distributed Quantum Computing; Higher-order quantum transformation; Quantum Algorithms; Quantum Physics; Resursteori; Resursteori för Kvantsammanflätning; Kvantinformationsteori; Kvantdatorer; Distribuerade kvantdatorer; Högre ordningens kvanttransformationer; Kvantalgoritmer; Kvantfysik;

    Sammanfattning : A distributed quantum computer holds the potential to emulate a larger quantumcomputer by being partitioned it into smaller modules where local operations (LO)can be applied, and classical communication (CC) can be utilized between thesemodules. Finding algorithms under LOCC restrictions is crucial for leveraging thecapabilities of distributed quantum computing, This thesis explores probabilisticexact LOCC supermaps, that maps 2-qubit bipartite unitary operations to its inver-sion and complex conjugation. LÄS MER

  3. 3. Exploring the Depth-Performance Trade-Off : Applying Torch Pruning to YOLOv8 Models for Semantic Segmentation Tasks

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Xinchen Wang; [2024]
    Nyckelord :Deep Learning; Semantic segmentation; Network optimization; Network pruning; Torch Pruning; YOLOv8; Network Depth; Djup lärning; Semantisk segmentering; Nätverksoptimering; Nätverksbeskärning; Fackelbeskärning; YOLOv8; Nätverksdjup;

    Sammanfattning : In order to comprehend the environments from different aspects, a large variety of computer vision methods are developed to detect objects, classify objects or even segment them semantically. Semantic segmentation is growing in significance due to its broad applications in fields such as robotics, environmental understanding for virtual or augmented reality, and autonomous driving. LÄS MER

  4. 4. Decoding the surface code using graph neural networks

    Master-uppsats, Göteborgs universitet / Institutionen för fysik

    Författare :Moritz Lange; [2023-10-17]
    Nyckelord :;

    Sammanfattning : Quantum error correction is essential to achieve fault-tolerant quantum computation in the presence of noisy qubits. Among the most promising approaches to quantum error correction is the surface code, thanks to a scalable two-dimensional architecture, only nearest-neighbor interactions, and a high error threshold. Decoding the surface code, i.e. LÄS MER

  5. 5. Numerical Study on Acoustic Phenomena in Cavities for Aero-engine Applications

    Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :Eglantin Gjoni; [2023]
    Nyckelord :;

    Sammanfattning : For about seventy years, noise generated by grazing flow past a cavity has been thoroughly studied. Yet, a coherent theory that describes such phenomena is missing. Lately, this phenomena started to be investigated in bleeding systems of aero-engines. LÄS MER