It remains an open question when a commercial quantum computer will emerge that can outperform classical (non-quantum) machines in speed and energy efficiency while solving real-world combinatorial ...

NP-complete problems, including optimal routing, scheduling and network design, are foundational to essential tasks across various industries. However, they actually pose challenges for conventional ...

We introduce NP-ENGINE, a scalable framework that generates near-infinite and hierarchically difficult NP-hard problems within the RLVR paradigm, empowering LLMs' optimization reasoning abilities.

Abstract: The Whale Optimization Algorithm (WOA) is indeed recognized for its effectiveness in solving complex optimization problems, including NP-hard problems. However, like many metaheuristic ...

Ising machines demonstrate significant potential to tackle computationally complex challenges, including combinatorial optimization problems related to logistics, manufacturing, finance, and AI. The ...

As a child of the 1990s, I couldn’t avoid the game-turned-best-seller Tetris. Launched in 1984 by Russian programmer Alexey Pajitnov, Tetris quickly became a blockbuster and has had hundreds of ...

Word problems are often described as “math stories” and can put complex mathematical operations into a more approachable form for students. But students often struggle when they see a combination of ...

Abstract: The 0-1 Knapsack Problem (KP) and Bin Packing Problem (BPP) are NP-hard combinatorial optimization challenges often tackled using metaheuristics. Both problems have prominent utilization in ...

Quantum computing pioneer D-Wave Quantum on Tuesday announced the general availability of its sixth-generation quantum computer, the Advantage2. The company said the Advantage2 offers ...