Invention Reference Number
Quantum computing systems are increasingly used in science and security applications but have several challenges that limit more widespread utilization. Among them is that they suffer from significant amounts of noise that result in high error rates during computational tasks. This technology is a visual analytics tool for interactive analysis to improve the performance of quantum devices and quantum circuit optimization. This visualization tool allows researchers to design more efficient quantum algorithms and applications by reducing noise from quantum devices to make programs more reliable.
Description:
Quantum computing devices have a significant amount of hardware noise that leads to computational errors. Understanding the sources of this noise is critical for developing reliable quantum computing systems and programs. This technology is an analytical tool to help make sense of noise data and uncover insights about noisy quantum device behaviors, allowing the exploration and improvement of quantum programs on real-world devices. Called QVis, this visual analytics tool and the associated analytical methods used for extracting temporal patterns are designed to enable human-directed analysis of quantum performance data with guidance from semi-automated computational analytics. The tool is implemented as an interactive, web-based application with data visualizations to help make quantum computing a more viable technology. The tool leads to better utilization of quantum resources and computations by providing visual methods to recognize the sources of noise and error and to evaluate the relative performance of quantum circuits on real-world hardware.
Benefits:
- Tool helps understand source of noise and errors
- Allows developers to interactively explore and interpret optimized circuit performance
- Provides insights into quantum algorithms to design more efficient algorithms
Applications and Industries:
- Quantum computing companies
- Researchers and application development of quantum computing devices
- Entities interested in general performance analysis use cases
Contact:
To learn more about this technology, email partnerships@ornl.gov or call 865-574-1051.
