Quantum Gibbs Sampling
1. Introduction In statistical mechanics, economics, and machine learning, we often want to understand how a system behaves under uncertainty — especially when it’s influenced by randomness, temperature, or energy…..
Tag: quantum Monte Carlo
Quantum Amplitude Estimation
1. Introduction Quantum Amplitude Estimation (QAE) is a cornerstone algorithm in quantum computing, playing a key role in a variety of applications such as finance, machine learning, physics simulations, and….
Quantum Sampling Algorithms
1. Introduction Quantum sampling algorithms are a class of quantum algorithms designed to sample from probability distributions that are either hard or impossible to sample using classical computers. Unlike traditional….
Financial Modeling
Financial modeling involves using mathematical tools to simulate and predict the behavior of financial markets, evaluate investment risks, price derivatives, and manage portfolios. Traditionally, these models rely on large-scale data….
Quantum Monte Carlo Methods
As quantum systems become more complex, traditional analytical solutions often fall short. This is especially true when dealing with many-body quantum systems where particles interact with each other in complex….
Many-Body Physics Simulations
In the realm of quantum mechanics, a “many-body” system refers to a group of multiple interacting particles, such as electrons in a solid or atoms in a gas. Unlike single-particle….