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INNOVATION
Spatial Photonic Ising Machine Optimization algorithms for NP-Hard problems
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Market Creation Potential
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Women-led innovation
A woman had a leadership role in developing this innovation in at least one of the Key Innovator organisations listed below.
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UN Sustainable Development Goals(SDG)
This innovation contributes to the following SDG(s)
SUSTAINABLE DEVELOPMENT GOAL 9
Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation

The UN explains: "Investments in infrastructure – transport, irrigation, energy and information and communication technology – are crucial to achieving sustainable development and empowering communities in many countries. It has long been recognized that growth in productivity and incomes, and improvements in health and education outcomes require investment in infrastructure."

The EU-funded Research Project
This innovation was developed under the Horizon Europe project HEISINGBERG with an end date of 31/10/2027
  • Read more about this project on CORDIS
Description of Project HEISINGBERG
Optical simulators rank among the most promising candidates to power future technological breakthroughs in terms of speed, scalability, power-consumption and quantum advantage, serving a wide range of useful optimization problems. However, the operation of such simulators remains currently limited by noise, the extent of algorithmic problems they can embed and to the classical regime where they compete with supercomputers. HEISINGBERG aims to bring our state-of-the-art spatial photonic spin simulator (an iterated cycle of all-optical processing through a spatial light modulator that couples 10,000 spins) into the quantum regime by upgrading its coherent drive to squeezed light, making it fully programmable through vector-matrix multiplication schemes, use of holography, ancillary spins & effective magnetic fields, and designing dedicated custom-tailored and purpose-built algorithms. The reduced fluctuations in one quadrature of the fields will allow us to scale up and optimize the performances of the existing machine to bring it beyond the capabilities of both classical supercomputers and competing spin-simulators. HEISINGBERG devices will operate 100,000 spins at room temperature and process new quantum annealing algorithms on an improved XY architecture. Besides, the nonclassical resources of squeezed states when modulated, admixed and phase-controlled through beam splitters, such as entanglement or superpositions of multiphoton states will be prospected to harness a quantum advantage and boost our machine into its quantum simulation regime. This development will stimulate the quantum information processing community by concretely articulating problems of algorithmic complexity and clarify the nature of the quantum advantage available in annealers and simulators. These advances will allow us to demonstrate, on a cloud platform, annealing and adiabatic algorithms that can efficiently solve NP-hard problems.

Innnovation Radar's analysis of this innovation is based on data collected on 13/01/2025.
The unique id of this innovation in the European Commission's IT systems is: 132243