KI-Glossar
Das vollständige Wörterbuch der Künstlichen Intelligenz
Shor's Algorithm
Quantum algorithm for polynomial-time factorization, threatening classical cryptography but opening perspectives for solving complex combinatorial optimization problems in machine learning.
Amplitude Amplification
Fundamental quantum technique that iteratively increases the probability of measuring desired quantum states, essential for extracting optimal solutions in quantum AI algorithms.
Ansatz
Parameterized quantum circuit structure used as a starting point for variational optimization algorithms, defining the solution search space in hybrid quantum AI models.
Quantum Bit (Qubit)
Fundamental unit of quantum information that can exist in a superposition of states 0 and 1, allowing exponentially richer representation of data space for quantum learning models.
Quantum Error Correction (QEC)
Set of protocols protecting quantum information against decoherence and operational errors, crucial for maintaining reliability of computations in large-scale quantum AI architectures.
Quantum Support Vector Machine (QSVM)
Quantum variant of SVMs using quantum circuits for feature mapping in high-dimensional Hilbert spaces, potentially offering exponential advantages for complex data classification.
Quantum Approximate Optimization Algorithm (QAOA)
Iterative hybrid algorithm combining quantum operations and classical optimization to solve combinatorial optimization problems, applicable to neural network training and feature selection.
Quantum Neural Network (QNN)
Machine learning model architecture whose parameters and operations are based on quantum circuits, exploiting superposition and entanglement to potentially surpass classical networks on certain tasks.
Quantum Boltzmann Machine (QBM)
A quantum generative model that generalizes classical Boltzmann machines by using quantum states for probability distributions, offering potential for more efficient sampling in AI training.
Quantum Walk
A quantum generalization of classical random walks where the particle simultaneously explores multiple paths through superposition, used to accelerate search and optimization algorithms in AI.