Hadamard test
PulseAugur coverage of Hadamard test — every cluster mentioning Hadamard test across labs, papers, and developer communities, ranked by signal.
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Quantum spectral features enable graph machine learning
Researchers have developed a novel quantum computing approach for extracting spectral features from the density of states (DOS) of a Hamiltonian, which can then be used for machine learning on signed graphs. This method…
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Researchers quantize artificial neurons for enhanced machine learning capabilities
Researchers have developed a novel approach to quantize artificial neurons, drawing parallels between classical machine learning components and quantum physics principles. By treating neurons as a combination of energy …
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New framework uses Lie symmetries for efficient quantum circuit gradient estimation
Researchers have developed a new framework for estimating gradients in parameterized quantum circuits (PQCs) that leverages Lie algebraic symmetries. This method uses the Hadamard test and analyzes the differential of t…