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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…
Quantum repeaters based on two species trapped ions
Siddhartha Santra, Sreraman Muralidharan, Martin Lichtman +3
We examine the viability of quantum repeaters based on two-species trapped ion modules for long distance quantum key distribution. Repeater nodes comprised of ion-trap modules of c…
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…
Confined Quasiparticle Dynamics in Long-Range Interacting Quantum Spin Chains
Fangli Liu, Rex Lundgren, Paraj Titum +4
We study the quasiparticle excitation and quench dynamics of the one-dimensional transverse-field Ising model with power-law () interactions. We find that long-range interac…
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…
Cryogenic Trapped-Ion System for Large Scale Quantum Simulation
G. Pagano, P. W. Hess, H. B. Kaplan +9
We present a cryogenic ion trapping system designed for large scale quantum simulation of spin models. Our apparatus is based on a segmented-blade ion trap enclosed in a 4 K cryost…