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Welcome to my blog! Explore a world where numerical methods, quantum computing, and the sparks of curiosity converge

Financial institutions deal daily with a spectrum of computationally intensive challenges. These include for example forecasting tasks, such as...

Linear systems of equations lie at the heart of many scientific and engineering problems, from machine learning to optimization and physics...

Variational Quantum Algorithms (VQAs) are regarded as one of the most promising approaches for leveraging near-term quantum devices as they combine...

Machine learning is often guided by the balance between bias and variance, i.e. if a model is too simple, it struggles to capture the underlying...

Quantum Boltzmann Machines (QBMs) are at the cutting edge of quantum machine learning, offering a novel extension of classical Boltzmann machines...

Introduction Despite the grandiose name, Physics Informed Neural Networks (PINNs from now on) are simply neural networks trained to solve supervised...