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Welcome!

About Me

I'm Kerem, a PhD student at the German Aerospace Center (DLR), specializing in the field of Quantum Machine Learning. My research focuses on the intersection of quantum computing and machine learning, exploring topics such as Gaussian Processes, Variational Quantum Circuits, Quantum Neural Networks, and Optimization techniques.

Research Interests

  • Quantum Machine Learning
  • Gaussian Processes
  • Variational Quantum Circuits
  • Quantum Neural Networks
  • Optimization
  • Numerical Linear Algebra
  • High Performance Computing

Software

  • PennyLane
  • NumPy, Pandas, Matpotlib
  • PyTorch, Tensorflow
  • scikit-learn, scikit-optimize, scipy

Contact

Feel free to reach out to me if you have any questions, suggestions, or collaboration opportunities:

Kerem Bükrü's Projects

boostedgpr icon boostedgpr

Using Linear Algebra Techniques to accelerate Gaussian Process Regression

deepfit icon deepfit

Regression of 1D functions with Deep Neural Networks

pennylane icon pennylane

PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.

quantumgp icon quantumgp

Using Quantum Speed-Ups to accelerate Gaussian Process Regression

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