P1: Practical Measurement-based Quantum Computing

Members: Dr. Anna Pappa (TU Berlin), Prof. Dr. Stefanie Barz (Stuttgart University)

The research project 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 core objectives include benchmarking current quantum hardware platforms, such as photonic systems, superconducting qubits, and trapped ions, to determine their suitability for MBQC. 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 form another significant aspect, with experiments planned on photonic quantum processors to evaluate real-world challenges like photon source quality and circuit imperfections. Finally, the project will expand to secure quantum computing, specifically leveraging MBQC's unique structure for blind and delegated computation protocols.