Abstract: Ising machines are next-generation computers expected to efficiently sample near-optimal solutions of combinatorial optimization problems. Combinatorial optimization problems are modeled as ...

In this video, we break the problem down step by step to show how basic math principles are all you really need. By focusing on logic and simplification instead of heavy formulas, you’ll see how ...

Quantum computing promises significant speed-ups for certain algorithms but the practical use of current noisy intermediate-scale quantum (NISQ) era computers remains limited by resources constraints ...

A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial optimization problems. These are common in real-world applications such as ...

Abstract: Federated learning (FL) facilitates collaborative training of a shared machine learning (ML) model across distributed devices while ensuring data privacy. However, the limited radio ...

It’s been difficult to find important questions that quantum computers can answer faster than classical machines, but a new algorithm appears to do it for some critical optimization tasks. For ...

Heidi S. Enger ’27, an Associate Editorial Editor, is a Social Studies Concentrator in Eliot House. She’s enrolled in Ec10b this semester (don’t ask). Harvard students have to stop treating life like ...

In the late 19th century, Karl Weierstrass invented a fractal-like function that was decried as nothing less than a “deplorable evil.” In time, it would transform the foundations of mathematics.

I’ve kept my gaming rig’s specs above the recommended requirements for most new big-name game releases over the last couple of years and it remains that way despite all the hardware that’s hit the ...