Next Generation Quasi-Adiabatic Propagator Path Integral (Quapi) Methods for Condensed Phase Quantum Dynamics
Develop advanced computational methods for simulating non-equilibrium dynamics in open quantum systems to enhance understanding and control of many-body phenomena and decoherence.
Projectdetails
Introduction
The inevitable interaction of a quantum system with the environment leads to energy relaxation and decoherence, which can result in novel phenomena and opportunities not present in isolated quantum systems. Of particular interest is the non-equilibrium relaxation dynamics subject to non-Markovian memory and strong interaction with the environment. In such situations, novel and generally applicable computational methods are necessary for precise and reliable simulations of the many-body dynamics of open quantum systems.
Methodological Developments
For this purpose, a hierarchy of methodological developments is proposed within the framework of the quasi-adiabatic propagator path integral (Quapi) method that addresses:
- The generalization of the method to more complex environments.
- Its numerical efficiency and scalability.
- The employment of neural networks to leverage algorithm performance.
- A quantum algorithm-based strategy for accelerated numerical propagation algorithms on near-term quantum devices.
Objectives
The hierarchy of developments facilitates simulations of condensed phase quantum dynamics for more complex systems and increasingly complex environments. This aims to address highly relevant open questions and research objectives in the understanding of condensed phase quantum dynamics, specifically:
- If the interactions of a system with its environment potentially can affect the system’s coherence.
- The underlying mechanisms leading to complex many-body phenomena.
- The possibility of control of the system dynamics and its decoherence.
Conclusion
Ultimately, the algorithm developments and novel conceptual approaches will yield a comprehensive numerical path integration software platform for condensed phase quantum dynamics simulations. This platform has groundbreaking potential by facilitating extremely challenging simulations that are not yet possible on classical computers or are only envisioned on tailor-made quantum devices.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 1.999.491 |
Totale projectbegroting | € 1.999.491 |
Tijdlijn
Startdatum | 1-1-2025 |
Einddatum | 31-12-2029 |
Subsidiejaar | 2025 |
Partners & Locaties
Projectpartners
- LUDWIG-MAXIMILIANS-UNIVERSITAET MUENCHENpenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
Nonequilibrium Many Body Control of Quantum SimulatorsThe project aims to enhance control of nonequilibrium quantum systems using AI-driven reinforcement learning to optimize manipulation techniques for many-body dynamics in advanced materials. | ERC Starting... | € 1.500.000 | 2023 | Details |
Steering the Quantum Dynamics of Confined Molecular MaterialsQUADYMM aims to revolutionize sustainable energy technologies by developing advanced simulations for nonequilibrium molecular dynamics, enhancing predictive capacity for electrochemistry and optoelectronics. | ERC Consolid... | € 2.000.000 | 2025 | Details |
Entering the deep QuAntum Regimes of NOnequilibrium ThermodynamicsQARNOT aims to extend nonequilibrium thermodynamics into deep quantum regimes using advanced methods to enhance understanding and applications of quantum many-body dynamics and measurements. | ERC Starting... | € 1.458.676 | 2025 | Details |
Predictive algorithms for simulating quantum materialsThis project aims to develop advanced predictive algorithms for quantum many-body systems by integrating field-theory methods with tensor techniques and machine learning to enhance understanding of quantum materials. | ERC Advanced... | € 3.499.299 | 2025 | Details |
Open 2D Quantum SimulatorOPEN-2QS aims to revolutionize analog quantum simulation of open 2D many-body systems to explore emergent phenomena and states of matter, enhancing understanding in various scientific fields. | ERC Synergy ... | € 9.981.952 | 2025 | Details |
Nonequilibrium Many Body Control of Quantum Simulators
The project aims to enhance control of nonequilibrium quantum systems using AI-driven reinforcement learning to optimize manipulation techniques for many-body dynamics in advanced materials.
Steering the Quantum Dynamics of Confined Molecular Materials
QUADYMM aims to revolutionize sustainable energy technologies by developing advanced simulations for nonequilibrium molecular dynamics, enhancing predictive capacity for electrochemistry and optoelectronics.
Entering the deep QuAntum Regimes of NOnequilibrium Thermodynamics
QARNOT aims to extend nonequilibrium thermodynamics into deep quantum regimes using advanced methods to enhance understanding and applications of quantum many-body dynamics and measurements.
Predictive algorithms for simulating quantum materials
This project aims to develop advanced predictive algorithms for quantum many-body systems by integrating field-theory methods with tensor techniques and machine learning to enhance understanding of quantum materials.
Open 2D Quantum Simulator
OPEN-2QS aims to revolutionize analog quantum simulation of open 2D many-body systems to explore emergent phenomena and states of matter, enhancing understanding in various scientific fields.
Vergelijkbare projecten uit andere regelingen
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
Quantum software platform for multiphysics simulationsQu&Co-Flow aims to create the first hybrid Quantum/AI software for multiphysics simulations to enhance battery/fuel cell performance and support sustainable mobility in Europe. | EIC Accelerator | € 2.496.599 | 2022 | Details |
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 |
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 |
Quantum software platform for multiphysics simulations
Qu&Co-Flow aims to create the first hybrid Quantum/AI software for multiphysics simulations to enhance battery/fuel cell performance and support sustainable mobility in Europe.
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.
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.