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 sampling
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….
Complexity of Quantum Sampling Problems
At a high level, quantum sampling problems ask: Can a quantum computer efficiently sample from a probability distribution that is hard (or impossible) for a classical computer to sample from?….
Quantum Reinforcement Learning
Reinforcement Learning (RL) is a powerful machine learning technique inspired by how humans and animals learn from experience. At its core, it’s about an agent interacting with an environment, taking….
Quantum Generative Models
Generative models are a class of machine learning models that focus on learning the underlying patterns of a dataset in order to generate new, similar data. You’ve seen classical examples….
Quantum Boltzmann Machines
Quantum Boltzmann Machines are a quantum-enhanced version of classical Boltzmann Machines, which are a type of stochastic recurrent neural network used in unsupervised machine learning. The quantum twist allows them….