143 citations · 263 across the 18 of their papers we have counts for
19 papers
Pareto-optimal quantum kernel selection for unsupervised anomaly detection on real malware beaconing data
Boaz Micah, Nadia Milazzo, Maissa Beji +8
Quantum kernel methods are leading candidates for a practical quantum advantage in machine learning, but assessing that potential requires two quantities usually reported separatel…
Random Quantum Circuits as Seeds for Continuous Generative Models
Olli Hirviniemi, Afrad Basheer, Thomas Cope
We introduce a random circuit family and show they are robust against current classical simulation techniques, specifically tensor network contraction and Pauli propagation. We als…
From Classical Data to Quantum Advantage -- Quantum Policy Evaluation on Quantum Hardware
Daniel Hein, Simon Wiedemann, Markus Baumann +7
Quantum policy evaluation (QPE) is a reinforcement learning (RL) algorithm which is quadratically more efficient than an analogous classical Monte Carlo estimation. It makes use of…
Certifying high-dimensional quantum channels
Sophie Engineer, Suraj Goel, Sophie Egelhaaf +9
The use of high-dimensional systems for quantum communication opens interesting perspectives, such as increased information capacity and noise resilience. In this context, it is cr…
Performance and scaling analysis of variational quantum simulation
Mario Ponce, Thomas Cope, Inés de Vega +1
We present an empirical analysis of the scaling of the minimal quantum circuit depth required for a variational quantum simulation (VQS) method to obtain a solution to the time evo…
Equivalence between simulability of high-dimensional measurements and high-dimensional steering
Benjamin D. M. Jones, Roope Uola, Thomas Cope +4
The effect of quantum steering arises from the judicious combination of an entangled state with a set of incompatible measurements. Recently, it was shown that this form of quantum…