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Quantum-enhanced machine learning refers to quantum algorithms that solve tasks in machine learning, thereby improving and often expediting classical machine learning techniques. Such algorithms typically require one to encode the given classical data set into a quantum computer to make it accessible for quantum information processing.
However, typical research in quantum neural networks involves combining classical artificial neural network models (which are widely used in machine learning for the important task of pattern recognition) with the advantages of quantum information in order to develop more efficient algorithms.
[a] [1] [2] The algorithm has also found applications in quantum machine learning and has been further substantiated by general hybrid algorithms between quantum and classical computers. [3] It is an example of a noisy intermediate-scale quantum (NISQ) algorithm.
The Quantum Artificial Intelligence Lab (also called the Quantum AI Lab or QuAIL) is a joint initiative of NASA, Universities Space Research Association, and Google (specifically, Google Research) whose goal is to pioneer research on how quantum computing might help with machine learning and other difficult computer science problems.
Quantum computing stocks have seen quite a run-up in recent months, ... such as large language models and machine learning protocols. However, one aspect of Nvidia's business that is unique is its ...
Quantum computers are capable of manipulating high-dimensional vectors using tensor product spaces and thus are well-suited platforms for machine learning algorithms. [21] The quantum algorithm for linear systems of equations has been applied to a support vector machine, which is an optimized linear or non-linear binary classifier.
A gate-based chip is better suited for more advanced tasks like machine learning or cracking cryptography. ... quantum annealing-based chips aren't as susceptible to errors as gate-based chips. It ...
IBM's quantum roadmap calls for a quantum-centric supercomputer in 2025, a 200-qubit system in 2029, and quantum-centric supercomputers with thousands of qubits that may be capable of solving ...