Using light-based computing to tackle complex challenges

3 months ago

Researchers at Queen’s University developed a light-based computing machine for complex problems like protein folding and cryptography.
The machine uses off-the-shelf components, operates at room temperature, and performs billions of operations per second.
Led by Bhavin Shastri, the team utilized lasers, fiber optics, and modulators, similar to internet infrastructure technology.
The research was published in Nature, highlighting its significance.
The machine consumes less energy and remains stable for long periods, making it suitable for repeated problem-solving steps.
Based on the Ising model, the system uses light pulses to represent binary choices and find optimal solutions.
The technology addresses optimization problems in logistics, drug design, and urban planning more efficiently than current advanced computers.
The system outperforms commercial efforts with only five basic components, achieving 256 spins and long-term stability.
Future steps include scaling up, increasing spins, improving efficiency, and collaborating with industry partners for real-world applications.

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