9 papers
Scalable linearized gate set tomography
Ashe Miller, Corey Ostrove, Jordan Hines +4
Characterizing errors on many-qubit quantum computers remains a key challenge to understanding and improving the performance of these devices. Current characterization methods eith…
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…
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…
A Practical Introduction to Benchmarking and Characterization of Quantum Computers
Akel Hashim, Long B. Nguyen, Noah Goss +16
Rapid progress in quantum technology has transformed quantum computing and quantum information science from theoretical possibilities into tangible engineering challenges. Breakthr…
A Theory of Direct Randomized Benchmarking
Anthony M. Polloreno, Arnaud Carignan-Dugas, Jordan Hines +3
Randomized benchmarking (RB) protocols are widely used to measure an average error rate for a set of quantum logic gates. However, the standard version of RB is limited because it…
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…