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Found 4 papers, 1 papers with code
Training Quantum Boltzmann Machines with Coresets
Recent work has proposed and explored using coreset techniques for quantum algorithms that operate on classical data sets to accelerate the applicability of these algorithms on near-term quantum devices.
Coreset Clustering on Small Quantum Computers
However, for many natural data sets and algorithms, the overhead required to load the data set in superposition can erase any potential quantum speedup over classical algorithms.
Term Grouping and Travelling Salesperson for Digital Quantum Simulation
Digital simulation of quantum dynamics by evaluating the time evolution of a Hamiltonian is the initially proposed application of quantum computing.
Quantum Physics
Minimizing State Preparations in Variational Quantum Eigensolver by Partitioning into Commuting Families
Variational quantum eigensolver (VQE) is a promising algorithm suitable for near-term quantum machines.
Quantum Physics
