212 citations · 536 across the 16 of their papers we have counts for
16 papers
Interpreting Quantum Learning Models via Stochastic Processes
Johannes Fankhauser, Lukas J. Fiderer, Hans J. Briegel
Quantum machine learning models define probabilistic input--output maps through coherent quantum evolution and measurement. While such models can exhibit computational advantages,…
Information Thermodynamics of Agents: The Work Capacity of Channels with Memory
Lukas J. Fiderer, Paul C. Barth, Isaac D. Smith +1
Predicting future observations plays a central role in machine learning, biology, economics, and many other fields. It lies at the heart of organizational principles such as the va…
Free Energy Projective Simulation (FEPS): Active inference with interpretability
Joséphine Pazem, Marius Krumm, Alexander Q. Vining +2
In the last decade, the free energy principle (FEP) and active inference (AIF) have achieved many successes connecting conceptual models of learning and cognition to mathematical m…
Learning how to find targets in the micro-world: The case of intermittent active Brownian particles
Michele Caraglio, Harpreet Kaur, Lukas J. Fiderer +4
Finding the best strategy to minimize the time needed to find a given target is a crucial task both in nature and in reaching decisive technological advances. By considering learni…
Optimal foraging strategies can be learned
Gorka Muñoz-Gil, Andrea López-Incera, Lukas J. Fiderer +1
The foraging behavior of animals is a paradigm of target search in nature. Understanding which foraging strategies are optimal and how animals learn them are central challenges in…
Towards interpretable quantum machine learning via single-photon quantum walks
Fulvio Flamini, Marius Krumm, Lukas J. Fiderer +2
Variational quantum algorithms represent a promising approach to quantum machine learning where classical neural networks are replaced by parametrized quantum circuits. However, bo…
The Min-Entropy of Classical-Quantum Combs for Measurement-Based Applications
Isaac D. Smith, Marius Krumm, Lukas J. Fiderer +2
Learning a hidden property of a quantum system typically requires a series of interactions. In this work, we formalise such multi-round learning processes using a generalisation of…
Quantum machine learning beyond kernel methods
Sofiene Jerbi, Lukas J. Fiderer, Hendrik Poulsen Nautrup +3
Machine learning algorithms based on parametrized quantum circuits are prime candidates for near-term applications on noisy quantum computers. In this direction, various types of q…
Witnessing Bell violations through probabilistic negativity
Benjamin Morris, Lukas J. Fiderer, Ben Lang +1
Bell's theorem shows that no hidden-variable model can explain the measurement statistics of a quantum system shared between two parties, thus ruling out a classical (local) unders…
General expressions for the quantum Fisher information matrix with applications to discrete quantum imaging
Lukas J. Fiderer, Tommaso Tufarelli, Samanta Piano +1
The quantum Fisher information matrix is a central object in multiparameter quantum estimation theory. It is usually challenging to obtain analytical expressions for it because mos…
Neural-Network Heuristics for Adaptive Bayesian Quantum Estimation
Lukas J. Fiderer, Jonas Schuff, Daniel Braun
Quantum metrology promises unprecedented measurement precision but suffers in practice from the limited availability of resources such as the number of probes, their coherence time…
Improving the dynamics of quantum sensors with reinforcement learning
Jonas Schuff, Lukas J. Fiderer, Daniel Braun
Recently proposed quantum-chaotic sensors achieve quantum enhancements in measurement precision by applying nonlinear control pulses to the dynamics of the quantum sensor while usi…
Maximal Quantum Fisher Information for Mixed States
Lukas J. Fiderer, Julien M. E. Fraïsse, Daniel Braun
We study quantum metrology for unitary dynamics. Analytic solutions are given for both the optimal unitary state preparation starting from an arbitrary mixed state and the correspo…
A quantum-chaotic cesium-vapor magnetometer
Lukas J. Fiderer, Daniel Braun
Quantum-enhanced measurements represent the path towards the best measurement precision allowed by the laws of quantum mechanics. Known protocols usually rely on the preparation of…
Quantum metrology with a quantum-chaotic sensor
Lukas J. Fiderer, Daniel Braun
Quantum metrology promises high-precision measurements of classical parameters with far reaching implications for science and technology. So far, research has concentrated almost e…
Quantum-phase synchronization
Lukas J. Fiderer, Marek Kuś, Daniel Braun
We study mechanisms that allow one to synchronize the quantum phase of two qubits relative to a fixed basis. Starting from one qubit in a fixed reference state and the other in an…