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Found 4 papers, 2 papers with code
A Hybrid Quantum-Classical Hamiltonian Learning Algorithm
Hamiltonian learning is crucial to the certification of quantum devices and quantum simulators.
Variational Quantum Singular Value Decomposition
In this work, we propose a variational quantum algorithm for singular value decomposition (VQSVD).
Variational quantum Gibbs state preparation with a truncated Taylor series
By performing numerical experiments, we show that shallow parameterized circuits with only one additional qubit can be trained to prepare the Ising chain and spin chain Gibbs states with a fidelity higher than 95%.
Quantum Data Fitting Algorithm for Non-sparse Matrices
We propose a quantum data fitting algorithm for non-sparse matrices, which is based on the Quantum Singular Value Estimation (QSVE) subroutine and a novel efficient method for recovering the signs of eigenvalues.
