collaborators

5 papers

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-ph2026

Establishing trust in quantum computations

Timothy Proctor, Stefan Seritan, Erik Nielsen +4

Quantum computing hardware has grown sufficiently complex that it often can no longer be simulated by classical computers, but its computational power remains limited by errors. Th…

quant-ph2025

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…

quant-ph2025

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…

quant-ph2025

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…