1 citations · 1 across the 2 of their papers we have counts for
6 papers
Learning Reduced Representations for Quantum Classifiers
Patrick Odagiu, Vasilis Belis, Lennart Schulze +6
Data sets that are specified by a large number of features are currently outside the area of applicability for quantum machine learning algorithms. An immediate solution to this im…
Scaling Quantum Algorithms via Dissipation: Avoiding Barren Plateaus
Elias Zapusek, Ivan Rojkov, Florentin Reiter
Variational quantum algorithms (VQAs) have enabled a wide range of applications on near-term quantum devices. However, their scalability is fundamentally limited by barren plateaus…
Fieldoscopy at the Quantum Limit
Dmitry A. Zimin, Arjun Ashoka, Florentin Reiter +1
We demonstrate a novel concept for measuring time-varying electric field transients of petahertz-scale photons down to a single-photon regime. We observe a clear transition from cl…
Two-media laser threshold magnetometry: A magnetic-field-dependent laser threshold
Yves Rottstaedt, Lukas Lindner, Florian Schall +9
Nitrogen-vacancy (NV) centers in diamond are a promising platform for high-precision magnetometry. In contrast to the use of spontaneous emission in a number of NV-magnetometers, l…
Variational quantum thermalizers based on weakly-symmetric nonunitary multi-qubit operations
Elias Zapusek, Kristina Kirova, Walter Hahn +2
We propose incorporating multi-qubit nonunitary operations in Variational Quantum Thermalizers (VQTs). VQTs are hybrid quantum-classical algorithms that generate the thermal (Gibbs…
Learning agent-based approach to the characterization of open quantum systems
Lorenzo Fioroni, Ivan Rojkov, Florentin Reiter
Characterizing quantum processes is crucial for the execution of quantum algorithms on available quantum devices. A powerful framework for this purpose is the Quantum Model Learnin…