Munich Quantum Software Forum 2024: Software Pitches

During the Munich Quantum Software Forum 2024, 23 software tools and initiatives were presented (in addition to the other talks). This was mainly done through poster presentations. In addition to that, each tool/initiative was also introduced through a brief pitch presentation whose recording is available in this video.

* Daniel Borcherding (QUDORA): QUDORA Cloud - Hybrid quantum-classical computations with QIR and Python

* Laurent Prost (Alice&Bob): Felis - play with cat qubits

* Vanya Eccles (Quantinuum): Quatinuum NEXUS

* João Moutinho (Pasqal): Qadence: a differentiable interface for digital-analog programs

* Raphael Seidel (Fraunhofer FOKUS): Qrisp: The next generation of quantum algorithm development

* Stefan Hillmich (Software Competence Center Hagenberg (SCCH)): Quantum Algorithm Engineering – Transforming Applications into Quantum Circuits

* Erick Ochoa (Xanadu): MLIR for quantum compilation

* Joschka Roffe (University of Edinburgh): LDPCv2 – An Open Source Python Package for Decoding Classical and Quantum codes

* Vito Palmisano (Cineca): QMatchaTea: Accelerating Quantum Circuit Emulations with Tensor Networks on HPC Systems

* Willem de Kok (TNO): qgym: A Gym for Training and Benchmarking RL-based Quantum Compilation

* Marius Schöndorf (Eviden): Qaptiva – The quantum software and emulation platform by Eviden

* Oliver Brown (EPCC): CQ – Standard API for interfacing with QC

* Michael Lachner (Aqarios): Aqarios Luna: Bridging the Gap from Business to Quantum

* Thierry Martinez (Inria): Graphix: compilation and simulation for measurement-based quantum computation

* Marco Lewis (Newcastle University): SilVer (Silq Verification)

* Armin Vollmer (ADDITIVE): Wolfram Quantum Computing Framework

* Asmar Muqeet (Simula Research Laboratory): QUIET: A Post-Processing Tool for Quantum Noise Error Mitigation

* Carsten Blank (data cybernetics): Q-Alchemy: Copying Data into Quantum

* Florian Knäble (Fraunhofer IAO): AutoQML – A Framework for Automated Quantum Machine Learning

* Mykola Maksymenko (Haiqu): Rivet: an open-source toolkit for quantum computing workflows optimisation

* Erik Schultheis (German Aerospace Center (DLR)): ExcitationSolve: A gradient-free optimization algorithm for variational quantum eigensolvers

* Laurynas Vanagas (Qunasys): From Quri Parts to Software Development for FTQC Algorithm and Architecture Research

* Roeland ter Hoeven (ParityQC): ParityOS: an operating system for quantum computers