Ziel
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.
Wissenschaftliches Gebiet
CORDIS klassifiziert Projekte mit EuroSciVoc, einer mehrsprachigen Taxonomie der Wissenschaftsbereiche, durch einen halbautomatischen Prozess, der auf Verfahren der Verarbeitung natürlicher Sprache beruht.
CORDIS klassifiziert Projekte mit EuroSciVoc, einer mehrsprachigen Taxonomie der Wissenschaftsbereiche, durch einen halbautomatischen Prozess, der auf Verfahren der Verarbeitung natürlicher Sprache beruht.
- 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
Thema/Themen
Aufforderung zur Vorschlagseinreichung
ERC-2012-SyG
Andere Projekte für diesen Aufruf anzeigen
Finanzierungsplan
ERC-SyG - Synergy grantHauptverantwortlicher Forscher
Gastgebende Einrichtung
2628 CN Delft
Niederlande