63 citations · 200 across the 14 of their papers we have counts for
15 papers
An End-to-End Multi-Stage Kill-Chain Attack on Quantum Neural Networks: Demonstration on Trapped-Ion Hardware
Cedric Brügmann, Daniel Herr, Daniel Ohl de Mello +7
We demonstrate an end-to-end, multi-stage attack against a quantum neural network (QNN) model that is executed on a trapped-ion quantum computer. Our chain combines side-channel re…
QCI Connect: A Modular Full-Stack Quantum Computing Platform
Eric Bertok, Hannes Busche, Florian Drinkler +17
In a world of various competing quantum computing architectures, hardware-agnostic, full-stack platforms are necessary to bring the full power of quantum computing hardware to doma…
Transversal Injection: Using the Surface Code to Prepare Non-Pauli Eigenstates
Jason Gavriel, Daniel Herr, Alexis Shaw +3
The development of quantum computing systems for large scale algorithms requires targeted error rates unachievable through hardware advancements alone. Quantum Error Correction (QE…
Quantum computation on a 19-qubit wide 2d nearest neighbour qubit array
Alexis T. E. Shaw, Michael J. Bremner, Alexandru Paler +2
In this paper, we explore the relationship between the width of a qubit lattice constrained in one dimension and physical thresholds for scalable, fault-tolerant quantum computatio…
Transversal Injection: A method for direct encoding of ancilla states for non-Clifford gates using stabiliser codes
Jason Gavriel, Daniel Herr, Alexis Shaw +3
Fault-tolerant, error-corrected quantum computation is commonly acknowledged to be crucial to the realisation of large-scale quantum algorithms that could lead to extremely impactf…
eXplainable AI for Quantum Machine Learning
Patrick Steinmüller, Tobias Schulz, Ferdinand Graf +1
Parametrized Quantum Circuits (PQCs) enable a novel method for machine learning (ML). However, from a computational point of view they present a challenge to existing eXplainable A…
Anomaly detection with variational quantum generative adversarial networks
Daniel Herr, Benjamin Obert, Matthias Rosenkranz
Generative adversarial networks (GANs) are a machine learning framework comprising a generative model for sampling from a target distribution and a discriminative model for evaluat…
Time versus Hardware: Reducing Qubit Counts with a (Surface Code) Data Bus
Daniel Herr, Alexandru Paler, Simon J. Devitt +1
We introduce a data bus, for reducing the qubit counts within quantum computations (protected by surface codes). For general computations, an automated trade-off analysis (software…
Really Small Shoe Boxes - On Realistic Quantum Resource Estimation
Alexandru Paler, Daniel Herr, Simon J. Devitt
Reliable resource estimation and benchmarking of quantum algorithms is a critical component of the development cycle of viable quantum applications for quantum computers of all siz…
Lattice Surgery on the Raussendorf Lattice
Daniel Herr, Alexandru Paler, Simon J. Devitt +1
Lattice surgery is a method to perform quantum computation fault-tolerantly by using operations on boundary qubits between different patches of the planar code. This technique allo…
A local and scalable lattice renormalization method for ballistic quantum computation
Daniel Herr, Alexandru Paler, Simon J. Devitt +1
A recent proposal has shown that it is possible to perform linear-optics quantum computation using a ballistic generation of the lattice. Yet, due to the probabilistic generation o…
Optimizing Schedules for Quantum Annealing
Daniel Herr, Ethan Brown, Bettina Heim +3
Classical and quantum annealing are two heuristic optimization methods that search for an optimal solution by slowly decreasing thermal or quantum fluctuations. Optimizing annealin…
Optimization of Lattice Surgery is NP-Hard
Daniel Herr, Franco Nori, Simon J. Devitt
The traditional method for computation in either the surface code or in the Raussendorf model is the creation of holes or "defects" within the encoded lattice of qubits that are ma…
Lattice Surgery Translation for Quantum Computation
Daniel Herr, Franco Nori, Simon J. Devitt
In this paper we outline a method for a compiler to translate any non fault tolerant quantum circuit to the geometric representation of the lattice surgery error-correcting code us…
Assessment of Quantum Annealing for the Construction of Satisfiability Filters
Marlon Azinović, Daniel Herr, Bettina Heim +2
Satisfiability filters, introduced by S. A. Weaver et al. in 2014, are a new and promising type of filters to address set membership testing. In order to construct satisfiability f…