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ScienceDaily: Computers & Math News |
| Surveys with repetitive questions yield bad data, study finds Posted: 28 Jan 2022 12:35 PM PST Surveys that ask too many of the same type of question tire respondents and return unreliable data, according to a new study. The study found that people tire from questions that vary only slightly and tend to give similar answers to all questions as the survey progresses. Marketers, policymakers, and researchers who rely on long surveys to predict consumer or voter behavior will have more accurate data if they craft surveys designed to elicit reliable, original answers, the researchers suggest. |
| Precision machining produces tiny, light-guiding cubes for advancing info tech Posted: 28 Jan 2022 11:13 AM PST Drilling with the beam of an electron microscope, scientists have precisely machined tiny electrically conductive cubes that can interact with light and organized them in patterned structures that confine and relay light's electromagnetic signal. This demonstration is a step toward potentially faster computer chips and more perceptive sensors. |
| New approach transports trapped ions to create entangling gates Posted: 28 Jan 2022 11:13 AM PST Scientists have demonstrated the feasibility of a new approach that moves trapped ion pairs through a single laser beam, potentially reducing power requirements and simplifying the system for creating entangled qubits. |
| Solving a superconducting mystery with more precise computations Posted: 28 Jan 2022 07:07 AM PST A new, more precise method of simulating quantum materials has revealed the basis for superconductivity in copper-based oxides known as cuprates. Researchers, using powerful supercomputers, found that phonons, vibrational energy from crystal structure, contribute to a key feature observed in cuprates, which may indicate their indispensable contribution to superconductivity. If true, the finding may pave the way for tunable superconductivity in materials. |
| Tiny materials lead to a big advance in quantum computing Posted: 27 Jan 2022 08:43 AM PST Researchers used the 2D material hexagonal boron nitride to build much smaller capacitors for superconducting qubits, enabling them to shrink the footprint of a qubit by two orders of magnitude without sacrificing performance. |
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