At this nascent stage of quantum computing, each of the limited hardware/device makers have their own software stacks. As the ecosystem evolves and early use cases prove out, there might be a more ...

Designing quantum experiments Left: the AI takes the first three from a class of target quantum states and produces a Python ...

The goal of a combinatorial optimization problem is to find the best ordering of a set of discrete items. A classic combinatorial optimization challenge is the Traveling Salesman Problem (TSP). For ...

New educational resources and practical guides are making quantum algorithms more accessible to beginners, while recent breakthroughs in quantum hardware—from spin-qubit readouts to large-scale ...

Dr. James McCaffrey of Microsoft Research explains a new idea that slightly modifies standard simulated annealing by borrowing ideas from quantum mechanics. The goal of a combinatorial optimization ...