activity
20102026
most citedDownfolding of many-body Hamiltonians using active-space models: extension of the sub-system embedding sub-algebras approach to unitary coupled cluster formalisms

100 citations · 108 across the 15 of their papers we have counts for

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Showing 2026 · quant-phShow all

10 papers · 2 filters

quant-ph2026

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

Thomas Häner, Felix Tripier, Jacob Young +11

One of the strengths of our recently proposed Walking Cat Architecture for a trapped-ion quantum computer is that it is straightforward to extend and optimize for a specific applic…

quant-ph2026

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

Sang Hyub Kim, Julien Baglio, Rajiv Krishnakumar +7

Time-series foundation models produce rich embeddings, but whether quantum models can exploit them, and how far hybrid classical-quantum architectures scale, remains unclear. We ad…

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

Observation of gravity-like signatures in holographic codes on a quantum computer

Debopriyo Biswas, Gong Cheng, Krishnanand Karthikeyan +12

The unification of quantum mechanics and general relativity remains one of the major open problems of theoretical physics. The Anti-de Sitter/Conformal Field Theory (AdS/CFT) corre…

quant-ph2026

Scalable On-Hardware Training of Quantum Neural Networks and Application to Clinical Data Imputation

Natansh Mathur, Panagiotis Kl. Barkoutsos, Masako Yamada +2

Training quantum neural networks (QNNs) on quantum hardware is currently bottlenecked by the cost of gradient estimation: standard parameter-shift methods require a number of circu…