activity
20242026
collaborators

7 papers

quant-ph2026

Closed form logical error rate approximations for surface codes

Shaked Regev, Daniel Dilley, James Nutaro +2

We propose a novel method to calculate logical error rates in surface codes, assuming independent and identically distributed physical errors. These results fit well known scaling…

quant-ph2026

Iterative warm-start optimization with quantum imaginary time evolution

Phillip C. Lotshaw, Titus Morris, Stuart Hadfield +1

Approximate combinatorial optimization is a promising use case for quantum computers. The quantum optimization algorithms often employ a fixed ansatz that evolves an unbiased initi…

quant-ph2026

Uncertainty Quantification for Quantum Computing

Ryan Bennink, Olena Burkovska, Konstantin Pieper +2

This review is designed to introduce mathematicians and computational scientists to quantum computing (QC) through the lens of uncertainty quantification (UQ) by presenting a mathe…

quant-ph2026

The Role of Quantum Computing in Advancing Scientific High-Performance Computing: A perspective from the ADAC Institute

Gilles Buchs, Thomas Beck, Ryan Bennink +19

Quantum computing (QC) has gained significant attention over the past two decades due to its potential for speeding up classically demanding tasks. This transition from an academic…

quant-ph2025

Logical Error Rates for the Surface Code Under a Mixed Coherent and Stochastic Circuit-Level Noise Model Inspired by Trapped Ions

Tyler LeBlond, Peter Groszkowski, Justin G. Lietz +2

With fault-tolerant quantum computing (FTQC) on the horizon, it is critical to understand sources of logical error in plausible hardware implementations of quantum error-correcting…

quant-ph2025

Quantum Resource Comparison for Two Leading Surface Code Lattice Surgery Approaches

Tyler LeBlond, Ryan S. Bennink

Hamiltonian simulation is one of the most promising candidates for the demonstration of quantum advantage within the next ten years, and several studies have proposed end-to-end re…