Now showing items 1-7 of 7

    • Audio classification using quantum techniques 

      Majumder, Arnob (BRAC University, 2024-10)
      Quantum computing is a new type of computing system that is rapidly emerging with immense success in the area of computer science. In our day-to-day lives, there are different types of sounds in our surroundings, which ...
    • Exploring the applications of deep reinforcement learning and quantum variational circuit In quantum machine learning 

      Saha, Prashanta Kumar; Saha, Vishal (Brac University, 2021-09)
      In recent years, quantum computing has outperformed classical computing in many aspects, including the advancement of approaches in Reinforcement Learning prob- lems. Particularly, it has the power to utilize the quantum ...
    • Pattern recognition with Quantum Support Vector Machine(QSVM) on near term quantum processors. 

      Ahmed, Sajjad (BRAC University, 2019-04)
      Machine Learning is boosting up the advancement in the eld of Arti cial Intelligence these days. However, almost every machine learning algorithm contains an optimization problem to solve. Inspired by quantum mechanics, ...
    • A quantum algorithm for pairwise sequence alignment 

      Khan, Md.Rabiul Islam; Rafid, Shaikh Farhan; Jahan, Raya (Brac University, 2023-01)
      DNA Sequence Alignment is the process of aligning DNA sequences in order to identify similarities between multiple sequences. The primary reason is to sort out the evo lutionary, functional or structural relationships ...
    • Quantum computer simulator based on qutrits and the circuit model of quantum computation 

      Kaonain, Md. Shamsul (BRAC University, 2009-12)
      The number of quantum bits that can currently be realized is limited; therefore extending the state space to explore multi-valued options is reasonable. A quantum computer simulator based on qutrits (3 valued quantum ...
    • A quantum Z-transform 

      Sarker, Md. Sajibur Rahman (Brac University, 2019-12)
      We investigate a quantum analog of the classical Z-transform with the aim of making it implementable on quantum computers, potentially offering a speedup over the classical method. Unlike the discrete Fourier transform, ...
    • Utilizing quantum machine learning for efficient drug discovery 

      Khan, Nuraiya Rahman (BRAC University, 2024-05)
      The goal of this research is to introduce the non-practicing reader to the new discipline of quantum machine learning, which merges the machine learning and quantum computing fields, as well as to the emerging topic of ...