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M. Roetteler

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Preprint Sep 2026

SAR and InSAR Change Detection with Quantum Generative Models

Change detection in synthetic aperture radar (SAR) and interferometric synthetic aperture radar (InSAR) underpins disaster response, infrastructure monitoring and land-use enforcement. Detection is limited by the background estimator, which conventionally forms a conditional expectation directly from observed pixel sta...

Samwel Sekwao, Shaunak De, Alexis Hocken et al. · 0 citations
Preprint Sep 2026

Two-Stage Quantum-Classical Distribution Network Reconfiguration via Cycle-Edge Encoding

Distribution network reconfiguration (DNR) is a combinatorial optimization problem that seeks a low-loss network topology subject to topological and electrical operating constraints. In this work, we propose a two-stage quantum-classical method for DNR. First, an iterative linear-ramp Quantum Alternating Operator Ansat...

Nowar Alashkar, C. Kennedy, Phillip C. Lotshaw et al. · 0 citations
#machine learning Preprint Sep 2026

Neural Fourier Surrogates for Data Reuploading Quantum Neural Networks

For quantum machine learning, the exact boundary between classical and quantum advantage is still poorly understood. Direct comparison between quantum neural networks (QNNs) and existing classical models, which encompass fundamentally different function classes, often fails to provide broader insight into the differenc...

Oliver Knitter, Jonathan Mei, Sang Hyub Kim et al. · 0 citations
Open access Oct 2024

Hybrid quantum-classical approach for combinatorial problems at hadron colliders

This work demonstrates that the efficiency for selecting the correct pairing is greatly improved by utilizing quantum algorithms over conventional kinematic methods, and observes that gate-based universal quantum algorithms perform on par with machine learning techniques and either surpass or match the effectiveness of...

Zhong-Tian Dong, Taejoon Kim, K. Kong et al. · 4 citations
Preprint Sep 2026

Towards Scaling Quantum Fine-Tuning of Foundational Time Series Models for Classification

The wing module is introduced, a self-contained few-qubit circuit that feeds additional information into the core circuit through a sparse, one-way coupling, and reframe scaling for quantum fine-tuning: added qubits help when they carry added inputs, not merely more parameters.

Sang Hyub Kim, Julien Baglio, R. Krishnakumar et al. · 0 citations
Preprint Sep 2026

Computing 256-bit elliptic curve discrete logarithms in 26 days on a fault-tolerant trapped-ion quantum computer with 20,000 qubits

It is concluded that a trapped-ion quantum computer based on the Walking Cat Architecture can solve the ECDLP onsecp256k1 in approximately 25.7 days using 19,397 physical qubits with an estimated success probability of 63%.

Thomas Häner, Felix Tripier, Jacob Young et al. · 2 citations · ⚡1
Open access Jul 2026

A quantum-classical hybrid framework for optimal energy storage systems planning.

The extensive deployment of power-electronics introduce spatial-temporal variability that can degrade voltage quality and operational reliability. Energy storage systems (ESS) can mitigate these effects through fast active and reactive power support, but their value is contingent on coordinated siting and sizing. Integ...

M. Hasan, Willie Aboumrad, Phani R. V. Marthi et al. · 1 citation

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