As quantum computing grows from theoretical foundations into real-world applications, one of its most promising use cases is quantum chemistry simulation. Quantum computers can simulate molecular systems much more efficiently….
1. Introduction Optimization problems are central to many fields including operations research, logistics, finance, engineering, and artificial intelligence. These problems typically involve finding the best solution from a set of….
1. Introduction Quantum and classical hybrid systems represent a powerful architectural approach where classical computing systems work in tandem with quantum computers to solve complex problems more efficiently. Instead of….
Quantum computing holds immense potential for revolutionizing the drug discovery process by simulating molecules and their interactions with unprecedented accuracy and efficiency. Traditional computational methods often fall short due to….
Quantum computers are promising but still in their early stages. Most current quantum devices (known as Noisy Intermediate-Scale Quantum or NISQ devices) cannot handle complex tasks alone due to limited….
What is the Variational Quantum Eigensolver (VQE)? The Variational Quantum Eigensolver (VQE) is a hybrid quantum-classical algorithm designed to solve one of the most important problems in quantum chemistry and….
