Quantum Neural Networks (QNNs): How They Are Built
How quantum neural networks are built from parameterized quantum circuits, how they are trained and where they might be useful.
Every explainer on QuantumExplainer.com, newest first. Use the pillars above to jump straight to a topic.
739 articlesHow quantum neural networks are built from parameterized quantum circuits, how they are trained and where they might be useful.
Quantum simulation of condensed matter systems: why classical methods struggle, which techniques are used and what they reveal about materials.
How quantum simulators and experiments map phase diagrams of quantum materials: phase boundaries, critical points and topological phases.
Simulating quantum systems out of equilibrium, such as after a sudden quench, is hard classically. Quantum algorithms and applications.
Topological insulators and how cold atoms and other quantum simulators reproduce their band structures, edge states and spin Hall effect.
How quantum simulation is used to study exotic states of matter such as unconventional superconductors, topological order and anyons.
How electrons move through nanowires, quantum dots and other nanostructures, and how confinement and tunneling shape device behavior.
The Hubbard model captures strongly interacting electrons on a lattice. How it is simulated with cold atoms, ions and quantum computers.
Optical lattices hold ultracold atoms in grids of laser light and act as quantum simulators for many-body physics. Setup, experiments and uses.
A wave packet is a localized quantum state that spreads over time. Its evolution under the Schrödinger equation, tunneling, revivals and experiments.
How entanglement entropy is computed in simulations with tensor networks and Monte Carlo methods, and what it reveals about many-body systems.
Quantum algorithms for computational fluid dynamics: how the Navier-Stokes equations might be solved on quantum computers and the obstacles.