768 citations · 1.5k across the 28 of their papers we have counts for
12 papers · 1 filter
An exact semidefinite characterization of the stoquasticity cone of permutationally invariant Bell operators
Jan Li, Owidiusz Makuta, Evert van Nieuwenburg +1
Bell correlations have been detected in atomic ensembles ranging from hundreds to hundreds of thousands of particles, witnessed by the permutationally invariant (PI) Bell operators…
How fast can a parent estimate the value of their children? A quantum algorithm for stochastic games
Marien Raat, Merlin Incerti-Medici, James R. Wootton +2
We give a quantum algorithm for stochastic -player games. Their game trees are the expectiminimax trees of classical game search: adversarial layers alternate with chanc…
Evidence of Quantum Machine Learning Advantage with Tens of Noisy Qubits
Onur Danaci, Yash J. Patel, Riccardo Molteni +3
Learning problems involving quantum data are natural candidates for demonstrating an advantage in quantum machine learning. Recent results indicate that, for certain tasks and unde…
Multiple-time Quantum Imaginary Time Evolution
Julio Del Castillo, Mats Granath, Evert van Nieuwenburg
Quantum Imaginary-Time Evolution (QITE) is a powerful method for preparing ground states on quantum hardware. However, executing QITE has costly measurement budgets for general Ham…
A Monte Carlo Tree Search approach to QAOA: finding a needle in the haystack
Andoni Agirre, Evert Van Nieuwenburg, Matteo M. Wauters
The search for quantum algorithms to tackle classical combinatorial optimization problems has long been one of the most attractive yet challenging research topics in quantum comput…
The Quantum Cartpole: A benchmark environment for non-linear reinforcement learning
Kai Meinerz, Simon Trebst, Mark Rudner +1
Feedback-based control is the de-facto standard when it comes to controlling classical stochastic systems and processes. However, standard feedback-based control methods are challe…
Data-driven decoding of quantum error correcting codes using graph neural networks
Moritz Lange, Pontus Havström, Basudha Srivastava +6
To leverage the full potential of quantum error-correcting stabilizer codes it is crucial to have an efficient and accurate decoder. Accurate, maximum likelihood, decoders are comp…
Explainable Representation Learning of Small Quantum States
Felix Frohnert, Evert van Nieuwenburg
Unsupervised machine learning models build an internal representation of their training data without the need for explicit human guidance or feature engineering. This learned repre…
Deep learning of spatial densities in inhomogeneous correlated quantum systems
Alex Blania, Sandro Herbig, Fabian Dechent +2
Machine learning has made important headway in helping to improve the treatment of quantum many-body systems. A domain of particular relevance are correlated inhomogeneous systems.…
Hamiltonian Learning for Quantum Error Correction
Agnes Valenti, Evert van Nieuwenburg, Sebastian Huber +1
The efficient validation of quantum devices is critical for emerging technological applications. In a wide class of use-cases the precise engineering of a Hamiltonian is required b…
Integrating Neural Networks with a Quantum Simulator for State Reconstruction
Giacomo Torlai, Brian Timar, Evert P. L. van Nieuwenburg +9
We demonstrate quantum many-body state reconstruction from experimental data generated by a programmable quantum simulator, by means of a neural network model incorporating known e…
Particle statistics and lossy dynamics of ultracold atoms in optical lattices
Jorge Yago Malo, Evert P. L. van Nieuwenburg, Mark H. Fischer +1
Experimental control over ultracold quantum gases has made it possible to investigate low-dimensional systems of both bosonic and fermionic atoms. In closed 1D systems there are a…