A research team has developed a novel direct sampling method based on deep generative models. Their method enables efficient sampling of the Boltzmann distribution across a continuous temperature ...

IBM Research's Spacetime PEC protocol combines two error-handling techniques to slash quantum sampling overhead by up to 63x, validated on a 27-qubit processor.

Why is data sampling important? Data sampling is a widely used statistical approach that can be applied to a range of use cases, such as analyzing market trends, web traffic or political polls. For ...

Sampling strategies and procedures are used to ensure that the largest amount of information about a contaminated area is obtained, while minimizing the sampling supplies and manpower required. EPA ...

A new telephone survey experiment finds that, despite major structural differences, an opinion poll drawn from a commercial voter file can produce results similar to those from a sample based on ...

Water sampling is a methodological process for collecting representative portions of aqueous systems (e.g., surface water, groundwater, wastewater) for subsequent physicochemical, biological, or ...