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quant-ph2026

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…

quant-ph2026

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…

quant-ph2026

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…

quant-ph2026

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…

quant-ph2026

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…

quant-ph2026

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…