Controlling spin properties of molecules with quantum fields: ab-initio methodologies for spin polaritons
QED-Spin aims to develop novel techniques for manipulating molecular spin properties through quantum field interactions, advancing quantum computing, spectroscopy, and nuclear magnetic resonance.
Projectdetails
Introduction
The goal of QED-Spin is to build novel ab initio techniques to reveal effects induced by quantum fields on the spin properties of molecules. Quantum computing and spectroscopic techniques are just two of the main fields that stand to benefit significantly from advancements in spin engineering; a field that is currently at the science frontier both for experiments and quantum many-body theory.
Project Objectives
In this project, I will propose new strategies based on strong light-matter coupling to manipulate static and dynamical spin properties of molecules. The mission of QED-Spin is to explore, using advanced theoretical techniques, the phenomena that arise when quantum fields interact with the electronic and nuclear spins of molecular systems and their implications in:
- Chemistry
- Spectroscopy
- Spintronics
Expected Outcomes
In particular, the proposed techniques will represent a significant step forward toward a better manipulation of molecular spin qubits used in quantum information and energy and memory storage. They will also increase our current possibilities of control on the photochemistry of molecular systems.
Novel Techniques
The effects induced on the nuclear spins will lead to the formulation of a novel and more selective nuclear magnetic resonance technique. The developed theoretical and computational techniques will provide, differently from the previously applied model treatments, new tools to quantitatively simulate spin properties of molecules.
Methodology
The combination of cavity quantum electrodynamics and accurate quantum chemistry methodologies will form the basis for the development of novel tools to interpret and design spin properties. The following approaches will be used:
- Coupled cluster theory
- Configuration interaction
- Density matrix renormalization group approaches
Conclusion
I believe that the results of QED-Spin will build the foundations for a new field of research -- cavity spintronics.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 1.499.754 |
Totale projectbegroting | € 1.499.754 |
Tijdlijn
Startdatum | 1-6-2023 |
Einddatum | 31-5-2028 |
Subsidiejaar | 2023 |
Partners & Locaties
Projectpartners
- UNIVERSITA DEGLI STUDI DI PERUGIApenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
Molecular Spins for Quantum TechnologyMSpin aims to develop a molecular platform for controlling nuclear spins to enhance quantum technologies, enabling robust quantum memory and molecule-photon entanglement for advanced applications. | ERC Starting... | € 1.893.184 | 2023 | Details |
Controlling spin angular momentum with the field of lightThe project aims to unveil direct light-spin interactions using attosecond pulses to control angular momentum in materials, enhancing understanding of magnetism and enabling ultrafast optical device design. | ERC Starting... | € 1.499.625 | 2022 | Details |
Atomic scale coherent manipulation of the electron spin in semiconductorsOneSPIN aims to coherently probe and engineer single electronic spins in 2D semiconductors using advanced scanning tunneling microscopy to enhance spin coherence for quantum information applications. | ERC Starting... | € 1.913.122 | 2024 | Details |
Coherent control of spin chains in graphene nanostructuresCONSPIRA aims to synthesize graphene architectures with interacting spin chains to control their quantum states for advancements in quantum computation and condensed matter physics. | ERC Advanced... | € 2.988.750 | 2024 | Details |
Chirality and spin selectivity in electron transfer processes: from quantum detection to quantum enabled technologiesThe CASTLE project aims to harness Chirality-Induced Spin Selectivity for quantum applications by studying electron transfer in chiral molecules to develop advanced molecular spin technologies. | ERC Synergy ... | € 8.976.957 | 2023 | Details |
Molecular Spins for Quantum Technology
MSpin aims to develop a molecular platform for controlling nuclear spins to enhance quantum technologies, enabling robust quantum memory and molecule-photon entanglement for advanced applications.
Controlling spin angular momentum with the field of light
The project aims to unveil direct light-spin interactions using attosecond pulses to control angular momentum in materials, enhancing understanding of magnetism and enabling ultrafast optical device design.
Atomic scale coherent manipulation of the electron spin in semiconductors
OneSPIN aims to coherently probe and engineer single electronic spins in 2D semiconductors using advanced scanning tunneling microscopy to enhance spin coherence for quantum information applications.
Coherent control of spin chains in graphene nanostructures
CONSPIRA aims to synthesize graphene architectures with interacting spin chains to control their quantum states for advancements in quantum computation and condensed matter physics.
Chirality and spin selectivity in electron transfer processes: from quantum detection to quantum enabled technologies
The CASTLE project aims to harness Chirality-Induced Spin Selectivity for quantum applications by studying electron transfer in chiral molecules to develop advanced molecular spin technologies.
Vergelijkbare projecten uit andere regelingen
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Spatial Quantum Optical Annealer for Spin HamiltoniansHEISINGBERG aims to enhance a spatial photonic spin simulator with squeezed light to achieve quantum advantage, enabling efficient solutions for NP-hard problems via advanced algorithms. | EIC Pathfinder | € 3.260.250 | 2023 | Details |
Spatial Quantum Optical Annealer for Spin Hamiltonians
HEISINGBERG aims to enhance a spatial photonic spin simulator with squeezed light to achieve quantum advantage, enabling efficient solutions for NP-hard problems via advanced algorithms.