Sikaty Assistant

Welcome to my gig!

Are you looking to integrate the power of quantum mechanics into your machine learning pipelines? As a Computer Science PhD scholar and researcher specializing in Quantum Machine Learning (QML) with over 10 years of software development experience, I provide state-of-the-art quantum algorithm design and implementation.

I specialize in developing hybrid quantum-classical models, including Quantum Convolutional Neural Networks (QCNNs) and Quantum Fourier Transforms, tailored to solve complex computational problems.

My Expertise Includes:

• Frameworks & Libraries: IBM Qiskit, PennyLane, Google Cirq, TensorFlow, and PyTorch.

• Algorithms: Quantum Convolutional Neural Networks (QCNNs), Quantum k-means clustering, Quantum Fourier Transforms, and custom hybrid architectures.

• Languages & Environments: Python (Jupyter, Anaconda, Cursor IDE).

What You Can Expect:

• Clean, well-documented, and optimized Python code.

• Rigorous testing on datasets (e.g., MNIST, CIFAR-10) to validate model performance.

• Professional mathematical interpretation and circuit diagram generation for your models.

• Clear communication and timely delivery.

Let's collaborate to push the boundaries of your next research or development project. Please message me before placing an order so we can discuss your specific technical requirements!