7 papers · 1 filter
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…
Software for Creating Scalable Benchmarks from Quantum Algorithms
Noah Siekierski, Stefan Seritan, Neer Patel +3
Creating scalable, reliable, and well-motivated benchmarks for quantum computers is challenging: straightforward approaches to benchmarking suffer from exponential scaling, are ins…
Benchmarking quantum computers with any quantum algorithm
Stefan K. Seritan, Aditya Dhumuntarao, Aidan Q. Wilber-Gauthier +5
Application-based benchmarks are increasingly used to quantify and compare quantum computers' performance. However, because contemporary quantum computers cannot run utility-scale…
Featuremetric benchmarking: Quantum computer benchmarks based on circuit features
Timothy Proctor, Anh Tran, Xingxin Liu +4
Benchmarks that concisely summarize the performance of many-qubit quantum computers are essential for measuring progress towards the goal of useful quantum computation. In this wor…
Near-Minimal Gate Set Tomography Experiment Designs
Corey Ostrove, Kenneth Rudinger, Stefan Seritan +2
Gate set tomography (GST) provides precise, self-consistent estimates of the noise channels for all of a quantum processor's logic gates. But GST experiments are large, involving m…
Two-Qubit Gate Set Tomography with Fewer Circuits
Kenneth M. Rudinger, Corey I. Ostrove, Stefan K. Seritan +4
Gate set tomography (GST) is a self-consistent and highly accurate method for the tomographic reconstruction of a quantum information processor's quantum logic operations, includin…