Quantum Many-Body Theory: Interacting Particles
Quantum many-body theory studies systems of many interacting particles. Wavefunctions, Hamiltonians, entanglement, quasiparticles and mean field theory.
BasicsAlgorithmsHardwareError CorrectionCryptographyMachine LearningInformation TheoryPhysics & SimulationApplicationsIndustry & Careers
Tagged: Materials Science
38 articles
Quantum Field Theory Models and Their Lattices
Quantum field theory models and their lattice versions: key concepts, applications in particle physics and the link to gravity.
Quantum Simulation Models: Digital and Analogue
Digital and analog quantum simulation compared: how each models quantum systems, and uses in materials science and phase transitions.
Hybrid Quantum Systems: Joining Different Platforms
Hybrid quantum systems combine platforms, such as superconducting qubits with spins or photons, to use each one’s strengths. Types and challenges.
Optical Lattices: Trapping Atoms With Light
Optical lattices are grids of light that trap ultracold atoms. How they are made and used to simulate condensed matter physics and phase transitions.
Quantum Hamiltonian Simulation: The Original Use Case
Simulating quantum systems was the original motivation for quantum computers. Hamiltonian simulation, Trotterization, VQE and phase estimation explained.
Quantum Cellular Automata: Rules on a Quantum Grid
Quantum cellular automata apply local rules to a grid of qubits. Their principles, differences from classical automata, uses and implementation challenges.
Quantum Chemistry Algorithms: What Runs Today
Which quantum chemistry algorithms run on today’s hardware, what they compute, and how they may help drug discovery and materials science.
Quantum Simulation Algorithms and What They Model
Quantum simulation algorithms model molecules and materials that classical computers struggle with. Uses in chemistry, drug discovery and materials science.
VQE: The Variational Quantum Eigensolver Explained
How the variational quantum eigensolver finds ground-state energies: ansatz design, energy measurement, parameter optimization and chemistry uses.
Michio Kaku on Quantum Computing: Claims Examined
Michio Kaku’s statements on quantum computing, compared with what current science says about supremacy, entanglement, algorithms and hardware.
Quantum Computing: What the Next Decade Looks Like
Where quantum computing may go in the next ten years: algorithms, cryptography, chemistry, AI, qubit stability, scaling and the global competition.
