Project Details
Projekt
Practical Measurement-based Quantum Computing
Applicants
Professorin Dr. Stefanie Barz; Anna Pappa, Ph.D.
Subject Area
Hardware Systems and Architectures for Information Technology and Artificial Intelligence, Quantum Engineering Systems
Optics, Quantum Optics and Physics of Atoms, Molecules and Plasmas
Theoretical Computer Science
Optics, Quantum Optics and Physics of Atoms, Molecules and Plasmas
Theoretical Computer Science
Term
since 2025
Project identifier
Deutsche Forschungsgemeinschaft (DFG) - Project number 563437379
The research project, led by Stefanie Barz (University of Stuttgart) and Anna Pappa (TU Berlin), explores the feasibility and practicality of Measurement-Based Quantum Computing (MBQC), a paradigm distinct from the traditional circuit-based quantum computing model. MBQC leverages adaptive single-qubit measurements on highly entangled resource states to perform computations, offering potential advantages such as reduced gate errors and enhanced parallelization. The project aims to address MBQC's practical limitations while identifying its strengths for various applications. The project is interdisciplinary between computer science and physics and it addresses several research areas of the SPP 2514: it tackles challenges in Quantum Algorithmic Foundations and Roots in Quantum Physics (1.), directly relates to Co-Design and Engineering (4.), and finally is also concerned with Verification and Validation (5.). The core objectives include benchmarking current quantum hardware platforms, such as photonic systems, superconducting qubits, and trapped ions, to determine their suitability for MBQC. A tailored benchmarking framework will be developed to measure MBQC-specific performance metrics. Additionally, the project will optimize algorithms, focusing on efficient compilation methods and exploring use cases like variational algorithms for gauge theory and sub-universal models such as the Instantaneous Quantum Polytime (IQP). Practical testing and data generation forms a significant aspect of the project, with experiments planned on photonic quantum processors to evaluate real-world challenges like photon source quality and circuit imperfections. These experiments aim to bridge theoretical MBQC models with hardware constraints, improving error mitigation, and resource allocation strategies. Finally, the project will expand to secure quantum computing, specifically leveraging MBQC's unique structure for blind and delegated computation protocols. The project integrates expertise in photonic quantum systems and algorithm implementations (Barz) and theoretical algorithm development (Pappa), ensuring the integration of current software challenges with recent hardware. It promises to contribute substantially to the quantum computing field by advancing MBQC-specific tools, experimental data, and algorithmic frameworks. Scheduled over 36 months, the project aspires to establish MBQC as a practical and competitive model, providing insights into its scalability and robustness for future quantum technologies.
DFG Programme
Priority Programmes
