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5 papers · 1 filter
A doubly stochastic matrices-based approach to optimal qubit routing
Nicola Mariella, Sergiy Zhuk
Swap mapping is a quantum compiler optimization that, by introducing SWAP gates, maps a logical quantum circuit to an equivalent physically implementable one. The physical implemen…
Extracting, Visualizing, and Learning from Dynamic Data: Perfusion in Surgical Video for Tissue Characterization
Jonathan P. Epperlein, Niall P. Hardy, Pol Mac Aonghusa +1
Intraoperative assessment of tissue can be guided through fluorescence imaging which involves systemic dosing with a fluorophore and subsequent examination of the tissue region of…
Scaling Knowledge Graphs for Automating AI of Digital Twins
Joern Ploennigs, Konstantinos Semertzidis, Fabio Lorenzi +1
Digital Twins are digital representations of systems in the Internet of Things (IoT) that are often based on AI models that are trained on data from those systems. Semantic models…
Evidence of Kardar-Parisi-Zhang scaling on a digital quantum simulator
Nathan Keenan, Niall Robertson, Tara Murphy +2
Understanding how hydrodynamic behaviour emerges from the unitary evolution of the many-particle Schrödinger equation is a central goal of non-equilibrium statistical mechanics. In…
Sketching the Best Approximate Quantum Compiling Problem
Liam Madden, Albert Akhriev, Andrea Simonetto
This paper considers the problem of quantum compilation from an optimization perspective by fixing a circuit structure of CNOTs and rotation gates then optimizing over the rotation…