Photonic Computing – máy tính dùng ánh sáng thay điện để xử lý dữ liệu. Tốc độ cao, tiêu thụ năng lượng thấp, dễ mở rộng, hứa hẹn thay đổi data center, AI và liên kết với quantum computing. Còn chưa thay thế máy tính truyền thống, nhưng là công nghệ bổ trợ mạnh mẽ. #PhotonicComputing #CôngNghệÁnhSáng #AI #DataCenter #Tech #CôngNghệMới

https://dev.to/dailybugle33/wtf-is-photonic-computing-l3h

WTF is Photonic Computing?

WTF is this: The Future of Computing is Lit (Literally) If you thought the world of computing was...

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SPIMs are reshaping computing with unique hardware, solving NP-hard problems in finance, logistics, and data science. https://hackernoon.com/spatial-photonic-ising-machines-and-the-next-era-of-computing #photoniccomputing
Spatial-Photonic Ising Machines and the Next Era of Computing | HackerNoon

SPIMs are reshaping computing with unique hardware, solving NP-hard problems in finance, logistics, and data science.

Explore how SPIMs solve translation invariant problems, from spin glass models to Möbius ladder graphs in quantum-inspired optimization. https://hackernoon.com/how-spims-tackle-realistic-spin-glass-and-mobius-ladder-graphs #photoniccomputing
How SPIMs Tackle “Realistic” Spin Glass and Möbius Ladder Graphs | HackerNoon

Explore how SPIMs solve translation invariant problems, from spin glass models to Möbius ladder graphs in quantum-inspired optimization.

Exploring phase transitions and computational hardness in random CNP problems, with insights into SPIM hardware benchmarks and algorithms. https://hackernoon.com/computational-hardness-of-random-cnp-instances #photoniccomputing
Computational Hardness of Random CNP Instances | HackerNoon

Exploring phase transitions and computational hardness in random CNP problems, with insights into SPIM hardware benchmarks and algorithms.

Explore the Constrained Number Partitioning Problem, its complexity, and why it’s a prime candidate for SPIM hardware implementation. https://hackernoon.com/cracking-the-constrained-number-partitioning-problem-cnp-with-spims #photoniccomputing
Cracking the Constrained Number Partitioning Problem (CNP) with SPIMs | HackerNoon

Explore the Constrained Number Partitioning Problem, its complexity, and why it’s a prime candidate for SPIM hardware implementation.

Low-rank approximation streamlines Ising problem solving, balancing accuracy and efficiency for physics, computing, and finance applications. https://hackernoon.com/how-simplified-models-can-still-lead-to-smarter-solutions #photoniccomputing
How Simplified Models Can Still Lead to Smarter Solutions | HackerNoon

Low-rank approximation streamlines Ising problem solving, balancing accuracy and efficiency for physics, computing, and finance applications.

Exploring low-rank graphs, NP-complete mappings, and why hardware precision limits challenge optical annealers in solving hard problems. https://hackernoon.com/low-rank-matrices-np-hardness-and-the-roadblocks-to-quantum-inspired-hardware #photoniccomputing
Low-Rank Matrices, NP-Hardness, and the Roadblocks to Quantum-Inspired Hardware | HackerNoon

Exploring low-rank graphs, NP-complete mappings, and why hardware precision limits challenge optical annealers in solving hard problems.

Unlocking SPIMs’ potential to solve NP-hard problems with low-rank coupling matrices, powering faster, greener optimization across industries. https://hackernoon.com/can-light-solve-problems-faster-than-supercomputers #photoniccomputing
Can Light Solve Problems Faster Than Supercomputers? | HackerNoon

Unlocking SPIMs’ potential to solve NP-hard problems with low-rank coupling matrices, powering faster, greener optimization across industries.

Low-rank approximations power smarter portfolio optimization and AI models, from high-frequency trading to efficient RBM training.
https://hackernoon.com/what-investors-and-ai-researchers-can-learn-from-low-rank-optimization #photoniccomputing
What Investors and AI Researchers Can Learn from Low-Rank Optimization | HackerNoon

Low-rank approximations power smarter portfolio optimization and AI models, from high-frequency trading to efficient RBM training.

A chip powered by light just helped an AI beat its classical cousin. The quantum age of machine learning may already be here. #QuantumAI #PhotonicComputing #MachineLearning

https://geekoo.news/quantum-processors-are-supercharging-ai-and-its-just-the-beginning/

Quantum Processors Are Supercharging AI—And It’s Just the Beginning | Geekoo

Quantum meets AI: A new experiment proves that today’s small-scale quantum computers can already outperform classical algorithms—while using less energy.

Geekoo