#quantum-machine-learning

Articles tagged with #quantum-machine-learning

Computing Gradients of Quantum Circuits using Parameter Shift Rule
Variational Quantum Algorithms (VQAs) are regarded as one of the most promising approaches for leveraging near-term quantum devices as they combine the power of quantum circuits with classical optimization to solve problems in chemistry, material sci...
Sep 19, 20248 min read54
Quantum Boltzmann Machines
Quantum Boltzmann Machines (QBMs) are at the cutting edge of quantum machine learning, offering a novel extension of classical Boltzmann machines through the lens of quantum mechanics. These models take advantage of quantum principles to push the bou...
Aug 7, 202410 min read54