17809087. QUANTUM ACCURACY SCORE simplified abstract (Dell Products L.P.)

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QUANTUM ACCURACY SCORE

Organization Name

Dell Products L.P.

Inventor(s)

Kenneth Durazzo of Morgan Hill CA (US)

Stephen J. Todd of North Andover MA (US)

Michael Robillard of Shrewsbury MA (US)

Victor Fong of Melrose MA (US)

Brendan Burns Healy of Whitefish Bay WI (US)

Benjamin E. Santaus of Somerville MA (US)

Eric Bruno of Shirley NY (US)

QUANTUM ACCURACY SCORE - A simplified explanation of the abstract

This abstract first appeared for US patent application 17809087 titled 'QUANTUM ACCURACY SCORE

Simplified Explanation

The patent application describes a method for evaluating and scoring quantum computing service vendors based on their accuracy in producing results for quantum computing jobs. Here are the key points:

  • Users provide job configuration information for a quantum computing job they want to perform.
  • Quantum computing service vendors provide information about the accuracy of their results.
  • Based on this information, a vendor score is generated for each quantum computing service vendor.
  • The vendor score is then transmitted back to the user.

Potential Applications

This technology has potential applications in various fields, including:

  • Scientific research: Researchers can use the vendor score to select the most accurate quantum computing service vendor for their experiments and simulations.
  • Optimization problems: Industries dealing with complex optimization problems, such as logistics or finance, can benefit from choosing the most reliable quantum computing service vendor.
  • Machine learning: Quantum computing can enhance machine learning algorithms, and this technology helps users find the most accurate vendor for their specific machine learning tasks.

Problems Solved

The technology addresses several problems related to quantum computing service selection:

  • Lack of information: Users often lack information about the accuracy of quantum computing service vendors, making it challenging to choose the most reliable one.
  • Quality assurance: Users need a way to assess the accuracy of results produced by quantum computing service vendors to ensure the reliability of their computations.
  • Optimization: By providing a vendor score, this technology helps users optimize their choice of quantum computing service vendor based on their specific requirements.

Benefits

The technology offers several benefits:

  • Improved decision-making: Users can make informed decisions about selecting the most accurate quantum computing service vendor for their specific needs.
  • Time and cost savings: By choosing the most reliable vendor, users can avoid potential errors or inaccuracies in their computations, saving time and resources.
  • Enhanced performance: Selecting the vendor with the highest accuracy can lead to better results and improved performance in quantum computing tasks.


Original Abstract Submitted

One example method includes receiving job configuration information from a user with a quantum computing job to be performed, receiving quantum computing information from a quantum computing service vendor, generating, based on the quantum computing information, a vendor score for the quantum computing service vendor, and transmitting the vendor score to the user. The quantum computing information received from the quantum computing service vendor may include information about an accuracy of results produced by execution of a quantum circuit or other quantum hardware operated by the quantum computing service vendor.