Periodic Reporting for period 1 - QUQUP (QuiX Quantum Universal Quantum Processor)
Reporting period: 2024-11-01 to 2025-10-31
Advancing the digital revolution requires a paradigm shift toward Universal Quantum Computing (UQC) to exponentially accelerate problem-solving capabilities.
QUQUP is to accelerate towards that paradigm by the development of a Universal Quantum Processor (UQP) architecture.
Universal Quantum Computing requires scalable logical qubits. The project objectives are to accelerate the development of an architecture that supports N-qubit entanglement, focused on the quantum processor architecture and its control driver.
To this end, QUQUP will deliver and demonstrate its photonic quantum processor architecture, which includes a fusion network able to generate logical qubits. Deviating from the original approach in demonstrating physical qubits as a preliminary step towards error correction, it has proven more effective to incorporate quantum error correction as a core architectural element from the outset. The solution is to implement logical qubits that natively correct photon-loss errors, making them the fundamental units of a modular, loss-tolerant architecture. By building the system around loss-robust logical qubits and entangling them through configurable fusion networks, the platform allows for scalability and complexity while preserving reliability, enabling truly scalable measurement-based quantum computing. Although this deviates from the original sub-objectives, the main objective and timeline have not changed.
The QUQUP processor architecture is presented as an integral part of the greater UQC system architecture. The PIC design, simulation, and verification process is refined to a closed-loop procedure that ensures the geometries and manufactured results are compliant with system requirements and constraints.
An electronic control and driver unit PACU was developed for controlled operation of core photonic subsystem assemblies, including thermal control, electrical and optical interfacing, and an Ethernet control interface.
Indicatively, these results have laid out the basis for further system development and refinement. Key needs for successful deployment include further development on hybrid integration and large-scale photonic assembly, demonstration of multi-module systems, and access to pilot fabrication and characterization facilities. Commercialization would benefit from market engagement, intellectual property protection, and international collaboration. Supportive regulatory frameworks and standardization of photonic interfaces will accelerate adoption. Overall, the work provides the basis toward scalable photonic quantum processors and practical applications in computation as well as communication and sensing.