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20052023
most citedQuantum Machine Learning

4.7k citations · 16.5k across the 115 of their papers we have counts for

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Showing 2018 · quant-phShow all

5 papers · 2 filters

quant-ph2018★ 46 cited

Magnetic-field-learning using a single electronic spin in diamond with one-photon-readout at room temperature

Raffaele Santagati, Antonio A. Gentile, Sebastian Knauer +11

Nitrogen-vacancy (NV) centres in diamond are appealing nano-scale quantum sensors for temperature, strain, electric fields and, most notably, for magnetic fields. However, the cryo…

quant-ph2018★ 544 cited

Quantum singular value transformation and beyond: exponential improvements for quantum matrix arithmetics

András Gilyén, Yuan Su, Guang Hao Low +1

Quantum computing is powerful because unitary operators describing the time-evolution of a quantum system have exponential size in terms of the number of qubits present in the syst…

quant-ph2018★ 380 cited

Encoding Electronic Spectra in Quantum Circuits with Linear T Complexity

Ryan Babbush, Craig Gidney, Dominic W. Berry +5

We construct quantum circuits which exactly encode the spectra of correlated electron models up to errors from rotation synthesis. By invoking these circuits as oracles within the…

quant-ph2018★ 53 cited

Hamiltonian Simulation in the Interaction Picture

Guang Hao Low, Nathan Wiebe

We present a low-space overhead simulation algorithm based on the truncated Dyson series for time-dependent quantum dynamics. This algorithm is applied to simulating time-independe…

quant-ph2018★ 1k cited

Circuit-centric quantum classifiers

Maria Schuld, Alex Bocharov, Krysta Svore +1

The current generation of quantum computing technologies call for quantum algorithms that require a limited number of qubits and quantum gates, and which are robust against errors.…