We study the computational power of shallow quantum circuits with n input qubits, one output qubit, and two types of ancillary qubits: O(log n) initialized and O(poly(n)) uninitialized qubits. The initial state of the uninitialized ancillary qubits is arbitrary, and we have to return their state into the initial one at the end of the computation. First, to show the strengths of such circuits, w...

OBJECTIVES One barrier to economic evaluation alongside neonatal randomized controlled trials is the expense of collecting detailed patient resource information. To reduce this data collection burden, we identified the key resource items that predict daily ancillary costs for extremely low birth weight infants. METHODS Participants were 385 infants enrolled in the Trial of Indomethacin Prophy...

The Infrared Sea surface temperature Autonomous Radiometer (ISAR) was specifically developed for the validation of satellite SSTskin temperature data products, in particular for the Advanced Along Track Scanning Radiometer (AATSR). Two ISAR instruments have, since March 2004, been deployed on a continuous (one on, one off) basis on the P&O ferry M/V Pride of Bibao, which sails between Portsmout...

Areal interpolation is a geospatial analysis method that allows researchers to estimate the incidence of a phenomenon in one set of areal units given data based on different areal units. One practice implemented in conjunction with areal interpolation is known as filtered area weighting, in which ancillary data is introduced to exclude specific areas from the areal units based on certain criter...

Geostatistical models for spatial prediction are based on observations points. When ancillary information related to the target variable is available, it can be used to improve the estimations. Some sources of information, like satellite images or digital elevation models, provide full information for the whole study area, improving even more the point estimation. It is useful when the target v...

Animal movement research relies on biotelemetry, and telemetry-based locations are increasingly augmented with ancillary information. This presents an underutilized opportunity to enhance movement process models. Given tags designed to record specific behaviors, efforts are increasing to update movement models beyond reliance solely upon horizontal movement information to improve inference of s...