Essays about: "Kvantmaskininlärning"

Found 4 essays containing the word Kvantmaskininlärning.

  1. 1. 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. 2. 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

  4. 3. A Quantum Neural Network for Noisy Intermediate Scale Quantum Devices

    University essay from KTH/Tillämpad fysik

    Author : Altay Dikme; [2021]
    Keywords : ;

    Abstract : Neural networks have helped the field of machine learning grow tremendously in the past decade, and can be used to solve a variety of real world problems such as classification problems. On another front, the field of quantum computing has advanced, with quantum devices publicly available via the cloud. READ MORE

  5. 4. Detecting quantum speedup for random walks with artificial neural networks

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

    Author : Hanna Linn; [2020]
    Keywords : Quantum machine learning; convolutional neural networks; magic state; random walk; quantum walk; quantum speedup.; Kvantmaskininlärning; faltningsnätverk; magiska kvanttillstånd; slumpvandringar; kvantvandringar; kvantacceleration.;

    Abstract : Random walks on graphs are an essential base for crucial algorithms for solving problems, like the boolean satisfiability problem. A speedup of random walks could improve these algorithms. The quantum version of the random walk, quantum walk, is faster than random walks in specific cases, e.g. READ MORE