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20192026
most citedEfficient simulation of Clifford circuits with small Markovian errors

1 citations · 1 across the 2 of their papers we have counts for

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quant-ph2026

Simulating Quantum Error Correction beyond Pauli Stochastic Errors

Jordan Hines, Corey Ostrove, Kenneth Rudinger +4

Quantum error correction (QEC), the lynchpin of fault-tolerant quantum computing (FTQC), is designed and validated against well-behaved Pauli stochastic error models. But in real-w…

quant-ph2025

Helios: A 98-qubit trapped-ion quantum computer

Anthony Ransford, M. S. Allman, Jake Arkinstall +183

We report on Quantinuum Helios, a 98-qubit trapped-ion quantum processor based on the quantum charge-coupled device (QCCD) architecture. Helios features Ba hyperfine…

quant-ph20251 cited

Efficient simulation of Clifford circuits with small Markovian errors

Ashe Miller, Corey Ostrove, Jordan Hines +3

Classical simulation of noisy quantum circuits is essential for understanding quantum computing experiments. It enables scalable error characterization, analysis of how noise impac…

quant-ph2025

When Clifford benchmarks are sufficient; estimating application performance with scalable proxy circuits

Seth Merkel, Timothy Proctor, Samuele Ferracin +4

The goal of benchmarking is to determine how far the output of a noisy system is from its ideal behavior; this becomes exceedingly difficult for large quantum systems where classic…

quant-ph2024

Measuring error rates of mid-circuit measurements

Daniel Hothem, Jordan Hines, Charles Baldwin +3

High-fidelity mid-circuit measurements, which read out the state of specific qubits in a multiqubit processor without destroying them or disrupting their neighbors, are a critical…

quant-ph2019

Novel Trotter formulas for digital quantum simulation

Yi-Xiang Liu, Jordan Hines, Zhi Li +2

Quantum simulation promises to address many challenges in fields ranging from quantum chemistry to material science, and high-energy physics, and could be implemented in noisy inte…