Analog Polariton Simulators
ANAPOLIS aims to develop analog simulators using semiconductor cavity polaritons to explore complex physical systems, addressing phase fluctuations, topological properties, and quantum magnetism.
Projectdetails
Introduction
Many physical systems in nature must be described using a huge number of coupled degrees of freedom. Treating these problems on a classical computer leads to computation times growing exponentially with the system size.
Analog Simulators
Analog simulators are well-controlled systems to which a complex problem can be mapped, and from which the physics can be experimentally read out. Here, we want to develop powerful analog simulators based on semiconductor cavity polaritons, light-matter quasi-particles that have appeared as a versatile platform to explore the physics of bosonic open systems.
Project Goals
Using the fine control we now have in polariton lattices, ANAPOLIS opens the door to the simulation of a large class of systems subject to external drive and dissipation, a regime hardly explored in other platforms. Out-of-equilibrium condensation, giant Kerr non-linearity, and optical driving of steady states are the ingredients we will use in ANAPOLIS to explore three scientific objectives:
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Phase Fluctuations
We will study phase fluctuations in polariton condensates and map the system to the Kardar-Parisi-Zhang equation, which describes many dynamical nonlinear systems. In 2D, solving this equation is a challenge raising open questions that no experimental platform has addressed so far. -
Charged Particles Simulation
We will resonantly drive polariton lattices with elaborate phase patterns to simulate the physics of charged particles in a magnetic field. Optically inducing complex valued hoppings, we will tailor topological properties for the Bogoliubov excitations and explore non-linear physics on top of a topological superfluid. -
Quantum Transverse Ising Model
We will use cavity lattices under quadratic drive to emulate the physics of the quantum transverse Ising model in a driven-dissipative context. We will use this simulator to find the steady state of the system and explore quantum magnetism and dissipative phase transitions.
Conclusion
ANAPOLIS will provide unique opportunities to address stochastic phenomena, nonlinear and many-body physics in a driven-dissipative context.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 2.500.000 |
Totale projectbegroting | € 2.500.000 |
Tijdlijn
Startdatum | 1-1-2023 |
Einddatum | 31-12-2027 |
Subsidiejaar | 2023 |
Partners & Locaties
Projectpartners
- CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRSpenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
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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 |
Many-body Theory of Local Chemistry in CavitiesMATHLOCCA aims to develop a groundbreaking quantum many-body theory for polaritonic chemistry, enhancing understanding of collective strong coupling and enabling advanced numerical simulations. | ERC Consolid... | € 1.999.203 | 2025 | Details |
Optoelectronic and all-optical hyperspin machines for large-scale computingHYPERSPIM develops ultrafast photonic machines for large-scale combinatorial optimization, enhancing efficiency in classical and quantum computing for complex real-world problems. | ERC Advanced... | € 2.490.000 | 2025 | Details |
Optical polarization for ultrafast computingLOOP aims to create an ultrafast optical Ising machine using light polarization to solve NP-hard optimization problems in microseconds, surpassing current digital and analog hardware speeds. | ERC Starting... | € 1.499.928 | 2025 | Details |
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 |
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.
Many-body Theory of Local Chemistry in Cavities
MATHLOCCA aims to develop a groundbreaking quantum many-body theory for polaritonic chemistry, enhancing understanding of collective strong coupling and enabling advanced numerical simulations.
Optoelectronic and all-optical hyperspin machines for large-scale computing
HYPERSPIM develops ultrafast photonic machines for large-scale combinatorial optimization, enhancing efficiency in classical and quantum computing for complex real-world problems.
Optical polarization for ultrafast computing
LOOP aims to create an ultrafast optical Ising machine using light polarization to solve NP-hard optimization problems in microseconds, surpassing current digital and analog hardware speeds.
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.
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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 |
Neuromorphic Polariton AcceleratorPolArt aims to develop artificial intelligence circuits using room-temperature exciton-polariton neural networks as optical accelerators for efficient neuromorphic computation in compact devices. | EIC Pathfinder | € 2.997.641 | 2024 | 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.
Neuromorphic Polariton Accelerator
PolArt aims to develop artificial intelligence circuits using room-temperature exciton-polariton neural networks as optical accelerators for efficient neuromorphic computation in compact devices.