6 papers · 1 filter
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…
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…
Platform-Agnostic Modular Architecture for Quantum Benchmarking
Neer Patel, Anish Giri, Hrushikesh Pramod Patil +6
We present a platform-agnostic modular architecture that addresses the increasingly fragmented landscape of quantum computing benchmarking by decoupling problem generation, circuit…
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…