850 citations · 4.5k across the 43 of their papers we have counts for
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Training of Quantum Circuits on a Hybrid Quantum Computer
D. Zhu, N. M. Linke, M. Benedetti +10
Generative modeling is a flavor of machine learning with applications ranging from computer vision to chemical design. It is expected to be one of the techniques most suited to tak…
Parallel Entangling Operations on a Universal Ion Trap Quantum Computer
C. Figgatt, A. Ostrander, N. M. Linke +4
The circuit model of a quantum computer consists of sequences of gate operations between quantum bits (qubits), drawn from a universal family of discrete operations. The ability to…
Verified Quantum Information Scrambling
Kevin A. Landsman, Caroline Figgatt, Thomas Schuster +4
Quantum scrambling is the dispersal of local information into many-body quantum entanglements and correlations distributed throughout the entire system. This concept underlies the…
Machine learning assisted readout of trapped-ion qubits
Alireza Seif, Kevin A. Landsman, Norbert M. Linke +3
We reduce measurement errors in a quantum computer using machine learning techniques. We exploit a simple yet versatile neural network to classify multi-qubit quantum states, which…
Demonstration of Bayesian quantum game on an ion trap quantum computer
Neal Solmeyer, Norbert M. Linke, Caroline Figgatt +4
We demonstrate a Bayesian quantum game on an ion trap quantum computer with five qubits. The players share an entangled pair of qubits and perform rotations on their qubit as the s…