ArticleScience advances2020
A scalable photonic computer solving the subset sum problem.
Article in Science advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
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- A Microfiber-Reinforced Janus Hydrogel E-Skin With Recyclable Feature for Multimodal Sensing and Gender-Specific Physiological Monitoring.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Article
- Wide-/Narrow-Bandgap Heterojunction for High Performance Differential Photodetector with Tunable Response.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Spatially varying nanophotonic neural networks.Science advances · 2024Article
- DREAMER: a computational framework to evaluate readiness of datasets for machine learning.BMC medical informatics and decision making · 2024Article
- High-efficiency reinforcement learning with hybrid architecture photonic integrated circuit.Nature communications · 2024Article
- Freeform direct-write and rewritable photonic integrated circuits in phase-change thin films.Science advances · 2024Article
- All-fibre phase filters with 1-GHz resolution for high-speed passive optical logic processing.Nature communications · 2023Article
- Towards a high-density photonic tensor core enabled by intensity-modulated microrings and photonic wire bonding.Scientific reports · 2023Article
- Femtosecond Laser Direct-Write Plasmonic Nanolithography in Dielectrics.Small science · 2022Article
- Femtosecond Laser Direct Writing of Integrated Photonic Quantum Chips for Generating Path-Encoded Bell States.Micromachines · 2020Article
- Attosecond metrology in a continuous-beam transmission electron microscope.Science advances · 2020Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The subset sum problem (SSP) is a typical nondeterministic-polynomial-time (NP)-complete problem that is hard to solve efficiently in time with conventional computers. Photons have the unique features of high propagation speed, strong robustness, and low detectable energy level and therefore can be promising candidates to meet the challenge. Here, we present a scalable chip built-in photonic computer to efficiently solve the SSP. We map the problem into a three-dimensional waveguide network through a femtosecond laser direct writing technique. We show that the photons sufficiently dissipate into the networks and search for solutions in parallel. In the case of successive primes, our approach exhibits a dominant superiority in time consumption even compared with supercomputers. Our results confirm the ability of light to realize computations intractable for conventional computers, and suggest the SSP as a good benchmarking platform for the race between photonic and conventional computers on the way toward "photonic supremacy."
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.