Essays about: "Kvantalgoritmer"

Showing result 1 - 5 of 7 essays containing the word Kvantalgoritmer.

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

    University essay from KTH/Fysik

    Author : Ludvig Lindström; [2024]
    Keywords : 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;

    Abstract : 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. READ MORE

  2. 2. Quantum Algorithms for Feature Selection and Compressed Feature Representation of Data

    University essay from KTH/Fysik

    Author : William Laius Lundgren; [2023]
    Keywords : Feature selection; autoencoders; quantum machine learning; quantum circuits; quantum annealing; Funktionsval; datakompression; kvantmaskininlärning; kvantalgoritmer; kvantkretsar;

    Abstract : Quantum computing has emerged as a new field that may have the potential to revolutionize the landscape of information processing and computational power, although physically constructing quantum hardware has proven difficult,and quantum computers in the current Noisy Intermediate Scale Quantum (NISQ) era are error prone and limited in the number of qubits they contain.A sub-field within quantum algorithms research which holds potential for the NISQ era, and which has seen increasing activity in recent years, is quantum machine learning, where researchers apply approaches from classical machine learning to quantum computing algorithms and explore the interplay between the two. READ MORE

  3. 3. A deep learning based side-channel analysis of an FPGA implementation of Saber

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Yanning Ji; [2022]
    Keywords : Side-Channel Attack; Deep Learning; Post-quantum Cryptography; Sidokanalsattack; djupinlärning; postkvantkryptering;

    Abstract : In 2016, NIST started a post quantum cryptography (PQC) standardization project in response to the rapid development of quantum algorithms which break many public-key cryptographic schemes. As the project nears its end, it is necessary to assess the resistance of its finalists to side-channel attacks. READ MORE

  4. 4. The Role of Data in Projected Quantum Kernels: The Higgs Boson Discrimination

    University essay from KTH/Fysik

    Author : Francesco Di Marcantonio; [2022]
    Keywords : Quantum Machine Learning; Quantum Support Vector Machine; Projected Quantum Kernel; Higgs Boson; Supervised Learning; Kernel Method; Quantum Machine Learning; Quantum Support Vector Machine; Projected Quantum Kernel; Higgs Boson; Supervised Learning; Kernel Method;

    Abstract : The development of quantum machine learning is bridging the way to fault tolerant quantum computation by providing algorithms running on the current noisy intermediate scale quantum devices.However, it is difficult to find use-cases where quantum computers exceed their classical counterpart. READ MORE

  5. 5. Quantum K means Algorithm

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Sumsam Ullah Khan; [2019]
    Keywords : ;

    Abstract : Quantum algorithms are being extensively researched nowadays seeing thepotential of providing exponential speed up when compared to classical algorithmexecution. This speed-up can play a big role in machine learning wheretraining a model is usually very slow. READ MORE