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 ...

Overview: Today's high-performance cloud simulators surpass previous limits in handling qubits and accurately replicate ...

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 ...

Qiskit and Q# are major quantum programming languages from IBM and Microsoft, respectively, used for creating and testing ...

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 ...