14 papers
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…
Disentanglement by means of action-induced representations
Gorka Muñoz-Gil, Hendrik Poulsen Nautrup, Arunava Majumder +4
Learning interpretable representations with variational autoencoders (VAEs) is a major goal of representation learning. The main challenge lies in obtaining disentangled representa…