Imagine trying to build a skyscraper without knowing how gravity works; that is how we currently approach quantum computing. This work looks at the deepest rules of physics to find shortcuts and better building blocks for quantum programs. By understanding these basics, we can make quantum computers faster and less prone to errors.
Current quantum algorithms rely on a very small set of techniques, limiting the ability to solve real-world problems efficiently. Additionally, the high cost of fault tolerance makes large-scale quantum computing impractical.
The project produced 43 research papers and 7 open-source software packages implementing new quantum algorithmic building blocks and simulation techniques.
If you are a security firm dealing with the threat of quantum decryption — this project developed new insights into quantum cryptography and circuit synthesis that help build more secure systems. These foundational methods ensure that encryption remains robust against quantum attacks.
If you are a biotech company dealing with the massive computational cost of simulating molecules — this project developed techniques for classical simulation and quantum advantage. This helps identify which parts of a calculation actually need a quantum computer and which can be done on a standard PC to save costs.
If you are a hedge fund dealing with complex optimization problems — this project developed new algorithmic building blocks beyond standard methods. This could lead to faster execution of linear algebra and optimization tasks once hardware matures.
Based on available project data, no pricing or commercial cost models are provided as the project focuses on basic research and open software packages.
No. The project aims to reach TRL level 3 (proof of concept), meaning it is currently in the theoretical and experimental validation stage.
The project has released 7 open software packages, suggesting a preference for open-source distribution to the wider community.
The project runs until 2026-03-31, but since it targets TRL 3, further development and engineering will be required before commercial deployment.
The research has been tested using integrated photonic chips and ion traps, indicating compatibility with these specific hardware modalities.
The consortium is heavily academic, consisting of 11 universities and 1 research center across 8 countries. With 0% industry representation, the project is driven by theoretical discovery rather than immediate commercial product development, which is typical for foundational research targeting TRL 1-3.
Contact the International Iberian Nanotechnology Laboratory (PT)
Contact SciTransfer to find a bridge between these 7 software packages and your hardware roadmap.
