Exploiting the laws of Quantum Physics to process information helps solving problems that are unassailable even to the best current supercomputers. In the future, quantum algorithms may help to find medical therapies, efficient energy sources and fertilizers, assist experts in economic or weather forecast predictions and contribute to developing more powerful artificial intelligence systems. A key challenge to bringing this about is finding a platform able to reach a sufficiently high computational power. Some estimates suggest that operating over many thousands, or even millions, of qubits might be necessary. This daunting prediction arises not only from the complexity of such problems, but also from the need to protect quantum operations from noise and the fact that quantum error correction is based on redundancy. Although there is hope that the available Noisy Intermediate-Size Quantum devices will be useful for some specific tasks, it is essential to consider alternatives with a potential for integrating many quantum resources and for correcting errors in an efficient manner.
FATMOLS introduces a new paradigm, the molecular spin quantum processor, made of artificial molecules designed and synthesized by Chemistry wired up by their coupling to superconducting circuits. Molecules represent the smallest object in Nature that is tuneable, i.e. their properties can be modified by changing their structure and composition, yet they remain microscopic and fully reproducible. FATMOLS integrates quantum functionalities at three different scales (nuclear spins, electronic spins and circuits), is inherently modular and therefore scalable, and is also very flexible. Its competitive advantages for reaching large scale quantum computation are: a) integrating nontrivial quantum functionalities (e.g. quantum correction) at the level of each molecule; b) reducing the complexity, e.g. the number of gates, required to implement specific algorithms; and c) increasing the number of information units controlled by each device.
FATMOLS overall objective is to provide a proof-of-concept of this new platform on at least two molecules with multiple and fully addressable levels, from which more complex architectures can be derived. The project applies a creative collaboration between disciplines and between top-level academic and industrial partners to create, test and interconnect the different components of this technology (molecules, superconducting nano-resonators and control electronics) and to design suitable algorithms and architectures for applications like quantum chemistry and quantum error correction.