From the 1 of 7 linked papers with an AI index.
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Revealing Noise in Axial Motion Through Quantum Noise Spectroscopy on a Trapped Ion Processor
Vivian Maloney, Matthew Chow, Leigh Norris +7
Native noise processes in quantum processors are often difficult to isolate because multiple error mechanisms contribute to the same measured loss of coherence. Here we use dephasi…
Benchmarking trigonometric continuous-variable gate primitives with trapped ions
Tommaso Rainaldi, Jake Montgomery, Christopher G. Yale +8
The paper experimentally demonstrates and benchmarks cosine-shaped continuous‑variable gates on a trapped‑ion platform, measuring their performance and comparing to simulations for…
QSCOUT's Qubit-Boson Gate Set
Edward C. Tortorici, Ethan C. McGarrigle, Brian K. McFarland +6
The Quantum Scientific Computing Open User Testbed (QSCOUT) has developed a qubit-boson gate set for hybrid continuous-discrete variable (CV-DV) quantum computing. This document ou…
High-performance gates on trapped ion qubits using counterpropagating pulse-shaped laser beams
Evangelos Piliouras, Hisham Amer, Susan M. Clark +9
Highly-localized light-matter interactions are necessary for scaling trapped-ion architectures. In hyperfine qubits, counterpropagating beams generate entangling gates by coupling…
Tensor-Network-Based Distributed Quantum Dynamics on Independent Quantum Computers
Anurag Dwivedi, Melissa C. Revelle, Daniel S. Lobser +6
We present an approach based on tensor networks for distributed quantum computing simulation of chemical wavepacket dynamics in a continuous variable representation. The central id…
Data-driven learning of non-Markovian quantum dynamics
Samuel Goodwin, Brian K. McFarland, Manuel H. Muñoz-Arias +6
Fault-tolerant quantum computing requires extremely precise knowledge and control of qubit dynamics during the application of a gate. We develop a data-driven learning protocol for…