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Showing 2021 · quant-phShow all
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quant-ph2021★ 11 cited
Preparing ground states of the XXZ model using the quantum annealing with inductively coupled superconducting flux qubits
Takashi Imoto, Yuya Seki, Yuichiro Matsuzaki
Preparing ground states of Hamiltonians is important in the condensed matter physics and the quantum chemistry. The interaction Hamiltonians typically contain not only diagonal but…
quant-ph2021★ 4 cited
Trainable Discrete Feature Embeddings for Variational Quantum Classifier
Napat Thumwanit, Chayaphol Lortaraprasert, Hiroshi Yano +1
Quantum classifiers provide sophisticated embeddings of input data in Hilbert space promising quantum advantage. The advantage stems from quantum feature maps encoding the inputs i…