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quant-ph2026

Shortest Path in Pauli Forest -- An Algorithm for Decomposing Pauli Exponentials to Quantum Circuits

Lauri Vuorenkoski, Arianne Meijer-van de Griend

Decomposing Pauli exponentials efficiently to quantum circuits has been the subject of intense research in recent years. Pauli exponentials are an essential component of many diffe…

quant-ph2026

Qubit Routing for (Almost) Free

Arianne Meijer-van de Griend

In this paper, we give a mathematical proof that bounds the number of CNOT gates required to synthesize an qubit phase polynomial with terms to be at least $O(\frac{gn}{\ma…

quant-ph2026

The Average Relative Entropy and Transpilation Depth determines the noise robustness in Variational Quantum Classifiers

Aakash Ravindra Shinde, Arianne Meijer - van de Griend, Jukka K. Nurminen

Variational Quantum Algorithms (VQAs) have been extensively researched for applications in Quantum Machine Learning (QML), Optimization, and Molecular simulations. Although designe…

quant-ph2025

A Superconducting Qubit-Resonator Quantum Processor with Effective All-to-All Connectivity

Michael Renger, Jeroen Verjauw, Nicola Wurz +62

In this work we introduce a superconducting quantum processor architecture that uses a transmission-line resonator to implement effective all-to-all connectivity between six transm…

quant-ph2024

The Impact of Feature Embedding Placement in the Ansatz of a Quantum Kernel in QSVMs

Ilmo Salmenperä, Ilmars Kuhtarskis, Arianne Meijer van de Griend +1

Designing a useful feature map for a quantum kernel is a critical task when attempting to achieve an advantage over classical machine learning models. The choice of circuit archite…

quant-ph2019

CNOT circuit extraction for topologically-constrained quantum memories

Aleks Kissinger, Arianne Meijer-van de Griend

Many physical implementations of quantum computers impose stringent memory constraints in which 2-qubit operations can only be performed between qubits which are nearest neighbours…