Periodic Reporting for period 1 - MCSquare (Developing Multi-Core Silicon-Based Quantum Processors)
Reporting period: 2024-01-01 to 2024-12-31
Silicon technology was the key to transforming classical computing into a massive industry. Could it play a similar role in quantum computing? Silicon qubits have several attractive features and can rely on a mature industry that has already mastered the intricacies of scaling. However, while scientific advances in silicon qubit technology have been encouraging, progress has been modest on the commercial front. This is the consequence of a rift between the techniques of the semiconductor industry and the requirements of quantum computers. At Siquance, we close this gap thanks to a ground-breaking semiconductor approach: Fully Depleted Silicon On Insulator (FDSOI) technology. FDSOI technology enables the fabrication of high-quality qubits in a scalable and reproducible manner. Now, we advance these developments to the market. This project aims at delivering an FDSOI-based quantum processor demonstrator with a novel 4X4 multi-core architecture.
During the first reporting period (RP1) of the MCSquare project, significant progresses were made in developing a silicon-based quantum processor. The project focused on processor validation (WP1), demonstrating robust charge control and developing individual qubit gate control strategies. In parallel, an optimised global control was designed (WP2). The selection of the first design marked a key milestone (MS7).
Furthermore, the project achieved progress in electronic and software control (WP3). While the project has reached its objective and all deliverables from RP1 have been delivered, work continues on WP4. These advancements laid a solid foundation for the project's subsequent phases, advancing the development of a scalable quantum computing architecture based on FDSOI technology.
Furthermore, the project achieved progress in electronic and software control (WP3). While the project has reached its objective and all deliverables from RP1 have been delivered, work continues on WP4. These advancements laid a solid foundation for the project's subsequent phases, advancing the development of a scalable quantum computing architecture based on FDSOI technology.
The MCSquare project faces several critical risks that could hinder its objectives.
One significant risk is the global control integration, impacting yield and performance.
Another key risk lies in statistical data not aligning with specifications, specifically regarding quantum operation fidelity, speed, and entangled state fidelity.
To mitigate these risks, continuous effort and focus should be placed on improving yield and reproducibility for qubit control. Also to consider are external factors like potential shifts in the competitive landscape or the emergence of alternative qubit technologies.
One significant risk is the global control integration, impacting yield and performance.
Another key risk lies in statistical data not aligning with specifications, specifically regarding quantum operation fidelity, speed, and entangled state fidelity.
To mitigate these risks, continuous effort and focus should be placed on improving yield and reproducibility for qubit control. Also to consider are external factors like potential shifts in the competitive landscape or the emergence of alternative qubit technologies.