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quant-ph2026

SAR and InSAR Change Detection with Quantum Generative Models

Samwel K. Sekwao, Shaunak De, Alexis Hocken +7

Change detection in synthetic aperture radar (SAR) and interferometric synthetic aperture radar (InSAR) underpins disaster response, infrastructure monitoring and land-use enforcem…

quant-ph2026

Practical Quantum Topological Data Analysis with Applications to High-Dimensional Feature Extraction and Time Series Analysis

Jason Iaconis, Sayonee Ray, Samwel Sekwao +2

Topological data analysis (TDA) provides a powerful framework for extracting information about the shape of complex, unstructured data, but the classical cost of computing high dim…

quant-ph2026

Mid-Circuit Measurements for Clifford Noise Reduction in Hamiltonian Simulations

James Brown, Jason Iaconis, Yuri Alexeev +6

Quantum simulation of fermionic Hamiltonians is a leading application of quantum computing, but accurate execution on present-day hardware is limited by error accumulation in deep…

quant-ph2026

Quantum Lattice Boltzmann Solutions for Transport under 3D Spatially Varying Advection on Trapped Ion Hardware

Sayonee Ray, Jezer Jojo, Jason Iaconis +5

The Quantum Lattice Boltzmann Method (QLBM) has emerged as one of the most promising quantum computing approaches for the numerical simulation of problems in computational fluid dy…

quant-ph2026

Quantum Feature Selection with Higher-Order Binary Optimization on Trapped-Ion Hardware

Carlos Flores-Garrigós, Anton Simen, Qi Zhang +6

We present a quantum feature-selection framework based on a higher-order unconstrained binary optimization (HUBO) formulation that explicitly incorporates multivariate dependencies…

quant-ph2026

Measuring what matters: A scalable framework for application-level quantum benchmarking

Willie Aboumrad, Claudio Girotto, Joshua Goings +16

As quantum computing systems continue to mature, there is an increasing need for benchmarking methodologies that capture performance in terms of meaningful, application-level metri…