Quantum Computational Fluid Dynamics
Quantum algorithms for computational fluid dynamics: how the Navier-Stokes equations might be solved on quantum computers and the obstacles.
BasicsAlgorithmsHardwareError CorrectionCryptographyMachine LearningInformation TheoryPhysics & SimulationApplicationsIndustry & Careers
Tagged: Quantum Scalability
112 articles
Quantum Cosmological Simulations of the Early Universe
How quantum effects enter cosmological simulations: primordial fluctuations, inflation and structure formation, and the computational challenges.
The Quantum Metropolis Algorithm, Step by Step
The quantum Metropolis algorithm samples thermal states of quantum Hamiltonians on a quantum computer. How it adapts the classical method step by step.
PEPS: Projected Entangled Pair States in 2D
Projected entangled pair states extend matrix product states to two-dimensional lattices. Their formulation, computational cost and uses.
Quantum Molecular Dynamics: Motion From First Principles
Quantum molecular dynamics simulates the motion of atoms using forces computed from quantum mechanics. Methods and uses in chemistry and biology.
Adiabatic Evolution: The Slow Path to a Solution
Adiabatic evolution keeps a system in its ground state if a Hamiltonian changes slowly enough. The theorem, the steps and uses in optimization.
Simulating Quantum Circuits on Classical Computers
How quantum circuits are simulated on classical computers with state vectors, tensor networks and tools such as Qiskit and Cirq, and where limits lie.
The Quantum Information Bottleneck Method
The quantum information bottleneck method compresses data while keeping the information relevant to a task. Ideas, uses and research directions.
Quantum Decision Forests and Ensemble Trees
Decision forests combine many decision trees. How quantum versions have been proposed, how they compare with random forests and possible uses.
Quantum Boosting Algorithms and Weak Learners
Boosting combines weak learners into a strong one. How quantum boosting algorithms work, their claimed speedups and possible applications.
Quantum Ensemble Learning and Model Averaging
Ensemble methods combine several models to improve predictions. How quantum ensembles and model averaging work and what they could offer.
Quantum Federated Learning Across Devices
Quantum federated learning trains models across devices without sharing raw data, using quantum or quantum-safe methods. How it works.
