9 citations · 14 across the 4 of their papers we have counts for
5 papers · 1 filter
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…