Quantum Information Processing in High-Dimensional Ion Trap Systems
This project aims to develop a trapped-ion quantum processor utilizing multi-level qudits to enhance quantum information processing and achieve quantum advantage over classical systems.
Projectdetails
Introduction
Quantum processors have taken the binary paradigm of classical computing to the quantum realm and are starting to outperform the best classical devices. Yet, neither the underlying quantum information carriers nor many of the targeted problems naturally fit into this two-level paradigm. In this project, I aim to break this paradigm.
Research Objectives
Instead of restricting the rich Hilbert space of trapped ions to only two levels, the proposed research will make full use of the multi-level (qudit) structure as a resource for quantum information processing. This will unlock unused potential within quantum processors and bring near-term intermediate-scale quantum devices into a regime well beyond classical capabilities.
Furthermore, the availability of high-performing qudit quantum hardware will stimulate a rethinking of the way we approach quantum information processing. This ambitious goal will be achieved by designing and implementing a trapped-ion quantum processor tailored for qudits.
Development and Implementation
Building on the full toolbox of atomic physics, this device will benefit from ongoing developments for binary systems while featuring significantly extended capabilities, including:
- Novel ways of interacting qudits for resource-efficient processing.
- Tools for and demonstration of native qudit quantum information processing from simulation to computation.
- Demonstration that the platform outperforms not only qubit systems but also the best classical devices through the demonstration of a quantum advantage.
Expected Impact
I am convinced that this project will stimulate a number of research directions beyond its immediate goals, including:
- Application-tailored quantum computing
- Advanced quantum communication
- Quantum metrology
My strong background in several quantum technology platforms, as well as my track record in (multi-level) quantum information processing, puts me in a unique position to realize the ambitious goals of this project.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 1.499.790 |
Totale projectbegroting | € 1.499.790 |
Tijdlijn
Startdatum | 1-1-2023 |
Einddatum | 31-12-2027 |
Subsidiejaar | 2023 |
Partners & Locaties
Projectpartners
- UNIVERSITAET INNSBRUCKpenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
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Delineating the boundary between the computational power of quantum and classical devicesThis project aims to assess and leverage the computational power of quantum devices, identifying their advantages over classical supercomputers through interdisciplinary methods in quantum information and machine learning. | ERC Advanced... | € 1.807.721 | 2024 | Details |
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Artificial Scientific Discovery of advanced Quantum Hardware with high-performance SimulatorsARTDISQ aims to leverage AI and high-performance simulators to automate the design of advanced quantum experiments, enhancing discoveries in gravitational wave detection and imaging systems. | ERC Starting... | € 1.499.221 | 2025 | Details |
New superconducting quantum-electric device concept utilizing increased anharmonicity, simple structure, and insensitivity to charge and flux noise
ConceptQ aims to develop a novel superconducting qubit with high fidelity and power efficiency, enhancing quantum computing and enabling breakthroughs in various scientific applications.
Delineating the boundary between the computational power of quantum and classical devices
This project aims to assess and leverage the computational power of quantum devices, identifying their advantages over classical supercomputers through interdisciplinary methods in quantum information and machine learning.
Beyond-classical Machine learning and AI for Quantum Physics
This project aims to identify quantum many-body problems with significant advantages over classical methods and develop new quantum machine learning techniques to solve them effectively.
Quantum Information Processing with Interacting Parties
This project aims to enhance quantum information processing efficiency by exploring entanglement and developing algorithms for symmetric problems, addressing key challenges in cryptography and communication.
Artificial Scientific Discovery of advanced Quantum Hardware with high-performance Simulators
ARTDISQ aims to leverage AI and high-performance simulators to automate the design of advanced quantum experiments, enhancing discoveries in gravitational wave detection and imaging systems.
Vergelijkbare projecten uit andere regelingen
Project | Regeling | Bedrag | Jaar | Actie |
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SCALABLE MULTI-CHIP QUANTUM ARCHITECTURES ENABLED BY CRYOGENIC WIRELESS / QUANTUM -COHERENT NETWORK-IN PACKAGEThe QUADRATURE project aims to develop scalable quantum computing architectures with distributed quantum cores and integrated wireless links to enhance performance and support diverse quantum algorithms. | EIC Pathfinder | € 3.420.513 | 2023 | Details |
Brisk Rydberg Ions for Scalable Quantum ProcessorsBRISQ aims to develop a scalable quantum computer prototype using trapped ions and Rydberg states to achieve over one million circuit depth, enhancing quantum processing for industrial applications. | EIC Pathfinder | € 3.368.158 | 2022 | Details |
QUantum reservoir cOmputing based on eNgineered DEfect NetworkS in trAnsition meTal dichalcogEnidesThis project aims to develop a proof-of-concept for Quantum Reservoir Computing using Quantum Materials defects to create advanced computing devices and enhance Quantum Technologies. | EIC Pathfinder | € 2.675.838 | 2024 | Details |
Ontwikkeling Quantum Control HighwayDit R&D-project richt zich op het ontwikkelen van een gestandaardiseerd modulair systeem voor kwantumcomputerinfrastructuur, waarmee opschaling van 16 tot 1024 qubits mogelijk wordt, met aanzienlijke economische voordelen. | Mkb-innovati... | € 194.894 | 2019 | Details |
Quantum bits with Kitaev TransmonsThis project aims to develop a novel qubit using a hybrid of superconductors and semiconductors to achieve long coherence times and fault tolerance for scalable quantum computing. | EIC Pathfinder | € 4.749.963 | 2023 | Details |
SCALABLE MULTI-CHIP QUANTUM ARCHITECTURES ENABLED BY CRYOGENIC WIRELESS / QUANTUM -COHERENT NETWORK-IN PACKAGE
The QUADRATURE project aims to develop scalable quantum computing architectures with distributed quantum cores and integrated wireless links to enhance performance and support diverse quantum algorithms.
Brisk Rydberg Ions for Scalable Quantum Processors
BRISQ aims to develop a scalable quantum computer prototype using trapped ions and Rydberg states to achieve over one million circuit depth, enhancing quantum processing for industrial applications.
QUantum reservoir cOmputing based on eNgineered DEfect NetworkS in trAnsition meTal dichalcogEnides
This project aims to develop a proof-of-concept for Quantum Reservoir Computing using Quantum Materials defects to create advanced computing devices and enhance Quantum Technologies.
Ontwikkeling Quantum Control Highway
Dit R&D-project richt zich op het ontwikkelen van een gestandaardiseerd modulair systeem voor kwantumcomputerinfrastructuur, waarmee opschaling van 16 tot 1024 qubits mogelijk wordt, met aanzienlijke economische voordelen.
Quantum bits with Kitaev Transmons
This project aims to develop a novel qubit using a hybrid of superconductors and semiconductors to achieve long coherence times and fault tolerance for scalable quantum computing.