Objectif
The world of atoms is governed by the rules of quantum mechanics. Over the past century, quantum-mechanical phenomena such as superposition and entanglement have been observed and studied with great precision. Today, we are entering a new era in which we can hope to explore quantum mechanics in larger objects. The science of quantum mechanics in more complex objects is barely known and as a result quantum mechanics is rarely explicitly used in technology. Theoretically, superposition and entanglement could be exploited as a new resource in a wide variety of future applications. We focus on information science and investigate the use of quantum mechanics in computing, i.e. a quantum computer (QC). If information is encoded in quantum superpositions and processed by exploiting entanglement, a QC can solve computational problems that are beyond the reach of conventional computers. Building a QC is, however, an enormous scientific challenge because the fragile quantum bits need to be protected from and corrected for even the smallest disturbances by the environment. Meeting this challenge requires a synergetic effort combining the best of quantum theory, electrical engineering, materials science, applied physics and computer science. This proposal aims to achieve a robust, exemplary QC. We propose a circuit containing processor qubits (two types: superconducting transmon qubits and spin qubits in silicon quantum dots), memory qubits (two types: topological qubits with nanowires and donor qubits), and a quantum databus (superconducting striplines). Our goal is to demonstrate a 13-qubit circuit that incorporates fault-tolerance through implementation of a surface code. We will demonstrate back-and-forth quantum state transfer between processor and memory qubits. Our team brings together the required expertise into a single “QC-lab” enabling us to bring our understanding of quantum mechanics to the next level and push QC to the tipping point from science to engineering.
Champ scientifique
CORDIS classe les projets avec EuroSciVoc, une taxonomie multilingue des domaines scientifiques, grâce à un processus semi-automatique basé sur des techniques TLN.
CORDIS classe les projets avec EuroSciVoc, une taxonomie multilingue des domaines scientifiques, grâce à un processus semi-automatique basé sur des techniques TLN.
- natural sciencesphysical sciencesquantum physics
- natural sciencescomputer and information sciences
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringcomputer hardwarequantum computers
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectrical engineering
- natural scienceschemical sciencesinorganic chemistrymetalloids
Thème(s)
Appel à propositions
ERC-2012-SyG
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Régime de financement
ERC-SyG - Synergy grantChercheur en chef
Institution d’accueil
2628 CN Delft
Pays-Bas