Sökning: "Quantum computing"

Visar resultat 16 - 20 av 85 uppsatser innehållade orden Quantum computing.

1. 16. Cost and efficiency comparison of Quantum Key Distribution schemes

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

   Författare :Erik Lidbjörk; Rasmus Söderström Nylander; [2023]
   Nyckelord :;

   Sammanfattning : The development of quantum computing exposes critical vulnerabilities in classical encryption systems. However, quantum computing also enables new methods of secure communication. Quantum key distribution (QKD) is one class of such methods. LÄS MER

3. 17. Comparing Quantum Annealing and Simulated Annealing when Solving the Graph Coloring Problem

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

   Författare :Nora Odelius; Isak Reinholdsson; [2023]
   Nyckelord :Quantum Computing; Quantum Annealing; Simulated Annealing; Graph Coloring Problem; Kvantberäkningar; Quantum Annealing; Simulated Annealing; Graffärgningsproblemet;

   Sammanfattning : Quantum annealing (QA) is an optimization process in quantum computing similar to the probabilistic metaheuristic simulated annealing (SA). The QA process involves encoding an optimization problem into an energy landscape, which it then traverses in search for the point of minimal energy representing the global optimal state. LÄS MER

4. 18. Quantum Algorithms for Feature Selection and Compressed Feature Representation of Data

   Master-uppsats, KTH/Fysik

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

   Sammanfattning : 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. LÄS MER

5. 19. Comparative Study Between a Quantum Walk with a Hadamard Coin and a Classical Random Walk

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

   Författare :Filip Forsberg; [2023]
   Nyckelord :;

   Sammanfattning : A comparative study of the classical random walk and a quantum random walk with the Hadamard coin. The overarching algorithm for a random walk is the same in either the classical or quantum case, but how they are implemented differ. By utilizing the properties of quantum computing the results produced from the two algorithms also differ. LÄS MER

7. 20. An Evaluation of Classical and Quantum Kernels for Machine Learning Classifiers

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

   Författare :Teo Nordström; Jacob Westergren; [2023]
   Nyckelord :Machine Learning; Quantum Computing; Kernels; Support Vector Machines; Maskininlärning; Kvantberäkning; Kärnor; Stödvektormaskin;

   Sammanfattning : Quantum computing is an emerging field with potential applications in machine learning. This research project aimed to compare the performance of a quantum kernel to that of a classical kernel in machine learning binary classification tasks. LÄS MER