Project: Photonic Ising Machines
2022-01-01 – 2025-12-31
- Abstract
Combinatorial optimization is the basis of many computational problems that are commonplace in our society, e.g. in logistics, finance or pharmaceutical research. However, for many real-world applications, finding a solution requires high-performance computer clusters that consume large amounts of energy and run for a long time. This project aims to create a radically new platform of analogue hardware accelerators, so-called Ising machines, that efficiently speed up these computationally difficult tasks in a way unlike any current digital computer. These Ising machines are a newly emerging computational concept and have shown great promise. Yet, their implementation is still highly challenging due to limited bandwidth, scalability and stability issues. A breakthrough is needed to make them practical for real-world applications. Photonics presents an ideal way to achieve this breakthrough due to its inherent parallelism and high speed. We aim to create accelerators for a broad set of problems, that are orders of magnitude faster and more energy efficient than digital computer and state-of-the art Ising machines.
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- Journal Article
- A1
- open access
Improved Ising formulation of max-3-cut using higher-order spin interactions
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Recurrent networks in silicon photonics for information processing (invited)
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- Conference Paper
- C3
- open access
Neuro-inspired time-series processing with silicon integrated photonics
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Artificial neural network with photonic reservoir for multiclass modulation format identification
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Use of a simple passive hardware mask to replace the digital masking procedure in photonic delay-based reservoir computing
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- Journal Article
- A1
- open access
Emergent self-adaptation in an integrated photonic neural network for backpropagation-free learning
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- Journal Article
- A1
- open access
Experimental demonstration of 4-port photonic reservoir computing for equalization of 4 and 16 QAM signals
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- Journal Article
- A1
- open access
Enhancing the performance of coherent Ising machines in the large-noise regime with a fifth-order nonlinearity
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- Journal Article
- A2
- open access
A photonics perspective on computing with physical substrates
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- Journal Article
- A1
- open access
Combining a passive spatial photonic reservoir computer with a semiconductor laser increases its nonlinear computational capacity