activity
20242026
collaborators

6 papers

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

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

Solovay Kitaev Algorithm and Randomized Compilation

Oliver Maupin, Ashlyn D. Burch, Christopher G. Yale +10

We analyze the use of the Solovay Kitaev (SK) algorithm to generate an ensemble of one qubit rotations over which to perform randomized compilation. We perform simulations to compa…

quant-ph2025

Realization and Calibration of Continuously Parameterized Two-Qubit Gates on a Trapped-Ion Quantum Processor

Christopher G. Yale, Ashlyn D. Burch, Matthew N. H. Chow +5

Continuously parameterized two-qubit gates are a key feature of state-of-the-art trapped-ion quantum processors as they have favorable error scalings and show distinct improvements…

quant-ph2024

Digital Quantum Simulation of Cavity Quantum Electrodynamics: Insights from Superconducting and Trapped Ion Quantum Testbeds

Alex H. Rubin, Brian Marinelli, Victoria A. Norman +15

We explore the potential for hybrid development of quantum hardware where currently available quantum computers simulate open Cavity Quantum Electrodynamical (CQED) systems for app…

quant-ph2024

Noise-Aware Circuit Compilations for a Continuously Parameterized Two-Qubit Gateset

Christopher G. Yale, Rich Rines, Victory Omole +9

State-of-the-art noisy-intermediate-scale quantum (NISQ) processors are currently implemented across a variety of hardware platforms, each with their own distinct gatesets. As such…