TL;DR: Quantum Boltzmann Machines (QBMs) use quantum systems to naturally sample from Boltzmann distributions, potentially providing exponential speedups over classical Boltzmann machines. QBMs can model qua
Quantum Boltzmann Machines (QBMs) use quantum systems to naturally sample from Boltzmann distributions, potentially providing exponential speedups over classical Boltzmann machines. QBMs can model quantum states directly and may be particularly useful for quantum state tomography and learning quantum Hamiltonians. They represent a natural intersection of quantum computing and machine learning.
Type
Machine Learning / Probabilistic
Complexity
Potential exponential speedup for sampling from Boltzmann distributions
Application
Generative modeling, unsupervised learning, quantum state tomography, physics simulation