155 citations · 503 across the 23 of their papers we have counts for
22 papers · 1 filter
Representational separation between unitary and channel quantum generative models via shared classical randomness at shallow depth
Arunava Majumder, Marius Krumm, Hendrik Poulsen Nautrup +1
Near-term quantum hardware limits circuit depth and often imposes geometrically local connectivity for quantum generative models, restricting the output distributions accessible to…
Genuine Multipartite Entanglement between Logical Qubits via Cross-Code Lattice Surgery
Alex Steiner, Tomasz Andrzejewski, Phila Rembold +8
Universal quantum computers are expected to generate arbitrary complex quantum states of logical qubits encoded in many physical qubits. This capability hinges on a fault-tolerantl…
The Structure of Circle Graph States
Frederik Hahn, Rose McCarty, Hendrik Poulsen Nautrup +1
Circle graph states are a structurally important family of graph states. The family's entanglement is a priori high enough to allow for universal measurement-based quantum computat…
Discovering quantum phenomena with Interpretable Machine Learning
Paulin de Schoulepnikoff, Hendrik Poulsen Nautrup, Hans J. Briegel +1
Interpretable machine learning techniques are becoming essential tools for extracting physical insights from complex quantum data. We build on recent advances in variational autoen…
Minimizing classical resources in variational measurement-based quantum computation for generative modeling
Arunava Majumder, Hendrik Poulsen Nautrup, Hans J. Briegel
Measurement-based quantum computation (MBQC) is a framework for quantum information processing in which a computational task is carried out through one-qubit measurements on a high…
Efficient Preparation of Resource States for Hamiltonian Simulation and Universal Quantum Computation
Thierry N. Kaldenbach, Isaac D. Smith, Hendrik Poulsen Nautrup +2
The direct compilation of algorithm-specific graph states in measurement-based quantum computation (MBQC) can lead to resource reductions in terms of circuit depth, entangling gate…
Quantum computing and artificial intelligence: status and perspectives
Giovanni Acampora, Andris Ambainis, Natalia Ares +36
This white paper discusses and explores the various points of intersection between quantum computing and artificial intelligence (AI). It describes how quantum computing could supp…
Interpretable representation learning of quantum data enabled by probabilistic variational autoencoders
Paulin de Schoulepnikoff, Gorka Muñoz-Gil, Hendrik Poulsen Nautrup +1
Interpretable machine learning is rapidly becoming a crucial tool for scientific discovery. Among existing approaches, variational autoencoders (VAEs) have shown promise in extract…
Minimally Universal Parity Quantum Computing
Isaac D. Smith, Berend Klaver, Hendrik Poulsen Nautrup +2
In parity quantum computing, multi-qubit logical gates are implemented by single-qubit rotations on a suitably encoded state involving auxiliary qubits. Consequently, there is a co…
Parity Quantum Computing as YZ-Plane Measurement-Based Quantum Computing
Isaac D. Smith, Hendrik Poulsen Nautrup, Hans J. Briegel
We show that universal parity quantum computing employing a recently introduced constant depth decoding procedure is equivalent to measurement-based quantum computation (MBQC) on a…
Measurement-based quantum computation from Clifford quantum cellular automata
Hendrik Poulsen Nautrup, Hans J. Briegel
Measurement-based quantum computation (MBQC) is a paradigm for quantum computation where computation is driven by local measurements on a suitably entangled resource state. In this…
Variational measurement-based quantum computation for generative modeling
Arunava Majumder, Marius Krumm, Tina Radkohl +4
Measurement-based quantum computation (MBQC) offers a fundamentally unique paradigm to design quantum algorithms. Indeed, due to the inherent randomness of quantum measurements, th…
Hybrid discrete-continuous compilation of trapped-ion quantum circuits with deep reinforcement learning
Francesco Preti, Michael Schilling, Sofiene Jerbi +4
Shortening quantum circuits is crucial to reducing the destructive effect of environmental decoherence and enabling useful algorithms. Here, we demonstrate an improvement in such c…
Symmetry-enriched topological order from partially gauging symmetry-protected topologically ordered states assisted by measurements
Yabo Li, Hiroki Sukeno, Aswin Parayil Mana +2
Symmetry protected topological phases exhibit nontrivial short-ranged entanglement protected by symmetry and cannot be adiabatically connected to trivial product states while prese…
Automated Gadget Discovery in Science
Lea M. Trenkwalder, Andrea López Incera, Hendrik Poulsen Nautrup +2
In recent years, reinforcement learning (RL) has become increasingly successful in its application to science and the process of scientific discovery in general. However, while RL…
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 enhancements for deep reinforcement learning in large spaces
Sofiene Jerbi, Lea M. Trenkwalder, Hendrik Poulsen Nautrup +2
In the past decade, the field of quantum machine learning has drawn significant attention due to the prospect of bringing genuine computational advantages to now widespread algorit…
Photonic architecture for reinforcement learning
Fulvio Flamini, Arne Hamann, Sofiène Jerbi +3
The last decade has seen an unprecedented growth in artificial intelligence and photonic technologies, both of which drive the limits of modern-day computing devices. In line with…
Optimizing Quantum Error Correction Codes with Reinforcement Learning
Hendrik Poulsen Nautrup, Nicolas Delfosse, Vedran Dunjko +2
Quantum error correction is widely thought to be the key to fault-tolerant quantum computation. However, determining the most suited encoding for unknown error channels or specific…
Subsystem symmetries, quantum cellular automata, and computational phases of quantum matter
David T. Stephen, Hendrik Poulsen Nautrup, Juani Bermejo-Vega +2
Quantum phases of matter are resources for notions of quantum computation. In this work, we establish a new link between concepts of quantum information theory and condensed matter…
A computationally universal phase of quantum matter
Robert Raussendorf, Cihan Okay, Dong-Sheng Wang +2
We provide the first example of a symmetry protected quantum phase that has universal computational power. Throughout this phase, which lives in spatial dimension two, the ground s…
Symmetry-protected topologically ordered states for universal quantum computation
Hendrik Poulsen Nautrup, Tzu-Chieh Wei
Measurement-based quantum computation is a model for quantum information processing utilizing local measurements on suitably entangled resource states for the implementation of qua…