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quant-ph2026

Opportunities and challenges in scaling quantum error detection on hardware

Yanis Le Fur, Ethan Egger, Hong-Ye Hu +3

Quantum error detection can produce unbiased expectation values that exponentially converge to noiseless results as the code distance is increased. Despite this, its performance as…

quant-ph2026

Compressed Sensing for Efficient Fidelity Estimation of GHZ States

Farrokh Labib, David Nicholaeff, Vincent Russo +1

Accurately characterizing multipartite entangled states is a critical challenge in quantum information processing. In this work, we focus on applying compressed sensing techniques…

quant-ph2025

Towards violations of Local Friendliness with quantum computers

William J. Zeng, Farrokh Labib, Vincent Russo

Local Friendliness (LF) inequalities follow from seemingly reasonable assumptions about reality: (i) ``absoluteness of observed events'' (e.g., every observed event happens for all…

quant-ph2025

Quantum amplitude estimation from classical signal processing

Farrokh Labib, B. David Clader, Nikitas Stamatopoulos +1

We demonstrate that the problem of amplitude estimation, a core subroutine used in many quantum algorithms, can be mapped directly to a problem in signal processing called directio…

quant-ph2024

Quantum Risk Analysis of Financial Derivatives

Nikitas Stamatopoulos, B. David Clader, Stefan Woerner +1

We introduce two quantum algorithms to compute the Value at Risk (VaR) and Conditional Value at Risk (CVaR) of financial derivatives using quantum computers: the first by applying…