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Shortly after de Broglie published his ideas that the electron in a hydrogen atom could be better thought of as being a circular standing wave instead of a particle moving in quantized circular orbits, Erwin Schrödinger extended de Broglie’s work by deriving what is now known as the Schrödinger equation. When Schrödinger applied his equation to hydrogen-like atoms, he was able to reproduce Bohr’s expression for the energy and, thus, the Rydberg formula governing hydrogen spectra.
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In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
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Random or indeterminate errors originate from various uncontrollable variables, such as variations in environmental conditions, instrument imperfections, or the inherent variability of the phenomena being measured. Usually, these errors cannot be predicted, estimated, or characterized because their direction and magnitude often vary in magnitude and direction even during consecutive measurements. As a result, they are difficult to eliminate. However, the aggregate effect of these errors can be...
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The margin of error is also called the maximum error of an estimate. The margin of error is the maximum possible or expected difference between the observed sample parameter value and the actual population parameter value. For proportion, it is the maximum difference between the value of sample proportion obtained from the data and the true value of population proportion. As the true value of the population parameter is not known, the margin of error is calculated using the sample statistic.
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La mitigación de errores amplía el alcance computacional de un procesador cuántico ruidoso

Abhinav Kandala1, Kristan Temme2, Antonio D Córcoles2

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Este estudio demuestra un protocolo de mitigación de errores para mejorar la precisión de los cálculos cuánticos en los procesadores superconductores. El método mejora las soluciones variacionales para la química cuántica y el magnetismo sin cambios de hardware, aumentando las capacidades de computación cuántica a corto plazo.

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Área de la Ciencia:

  • La computación cuántica
  • Ciencia de la información cuántica

Sus antecedentes:

  • La computación cuántica ofrece aceleraciones pero requiere bajas tasas de error para los qubits.
  • Alcanzar la tolerancia a fallas requiere qubits sustanciales y corrección de errores cuánticos.
  • El trabajo teórico sugiere mejorar la precisión a través de la extrapolación de experimentos ruidosos.

Objetivo del estudio:

  • Para demostrar un protocolo de mitigación de errores en un procesador cuántico superconductor.
  • Mejorar la capacidad computacional del hardware cuántico sin modificaciones.
  • Mejorar la precisión en la optimización variacional para la química cuántica y el magnetismo.

Principales métodos:

  • Implementó un protocolo de mitigación de errores basado en la extrapolación de resultados de experimentos con ruido variable.
  • Aplicé el protocolo a los experimentos de un y dos qubits.
  • Extendió el protocolo a la optimización variacional de los hamiltonianos.

Principales resultados:

  • Con éxito mitigado errores en los experimentos cuánticos canónicos.
  • Logró una mayor precisión en soluciones variacionales para la química cuántica y el magnetismo.
  • Se ha demostrado la supresión de errores incoherentes que conducen a mejores resultados computacionales.

Conclusiones:

  • Las técnicas de mitigación de errores mejoran significativamente la precisión de los cálculos cuánticos.
  • Este protocolo mejora las capacidades del hardware de computación cuántica a corto plazo.
  • No se requieren modificaciones adicionales de hardware para la implementación.