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20232026
most citedThe Munich Quantum Software Stack: Connecting End Users, Integrating Diverse Quantum Technologies, Accelerating HPC

9 citations · 34 across the 30 of their papers we have counts for

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11 papers · 1 filter

quant-ph2026

Why Are We Unrolling? The Importance of Structured Quantum Programs for Compilation

Damian Rovara, Daniel Haag, Mark Koch +8

As quantum software stacks scale up to support future fault-tolerant quantum hardware and algorithms, quantum compilation is becoming an increasingly important component of the sta…

quant-ph2026

Handling Imperfections in Subcircuit Compilation for Linear Optical Quantum Computing

Tobias Forster, Yannick Stade, Andreas Fyrillas +3

Linear Optical Quantum Computing (LOQC) is emerging as a promising technology in large-scale quantum computing. Corresponding devices, including linear optical circuits, are rapidl…

quant-ph2026

Know Your Qubits, Know Your Users: Personas for Quantum Software

Lukas Schmidbauer, Joshua Ammermann, Laura Schulz +5

The advancement of quantum hardware and the intricacies of quantum computing make well-designed quantum software increasingly necessary. Due to the interdisciplinarity of the field…

physics.ed-ph2026

Teaching Quantum Design Automation with Block-Based Programming

Damian Rovara, Robert Wille

As quantum circuits grow beyond small toy examples, preparing them for execution on physical devices becomes increasingly complex. Design automation is therefore essential for scal…

quant-ph2026

Scalable Circuit Cutting: A Framework for Combined Gate and Wire Cuts Using Gate Groups

Fiona Jiali Fröhler, Yannick Stade, Christian Ufrecht +2

Quantum circuit cutting enables the execution of large circuits on devices with a limited number of qubits by partitioning circuits into independent subcircuits. However, this intr…

quant-ph2026

Guiding Compiler Optimizations for Neutral Atom Quantum Computers Through Visualizations

Yannick Stade, Robert Wille

The scale of Neutral Atom (NA) quantum computers requires automated compilation tools. Designing the required heuristic methods demands a deep understanding of complex hardware tra…