The field of quantum computing is rapidly advancing, however as quantum computer systems increase in size and intricacy, they end up being less like a tool and more like a mysterious black box. Quantum computers can be used to determine quantum systems much more effectively and solve problems in materials research study. Appropriate tools are therefore needed to define such quantum operations and to relatively compare the abilities of quantum computers with classical computing power for the exact same jobs. With a brand-new industrialized mathematical tool, it is now possible to assess the efficiency of a quantum computer by random test information and diagnose possible bugs.
Quantum computers (here an experiment at the Technology Innovation Institute in Abu Dhabi) work at extremely low temperature levels to lessen sound and unwanted disturbances. With a new developed mathematical tool, it is now possible to evaluate the performance of a quantum computer by random test data and identify possible bugs. Credit: Roth/Quantum research center, TII
Insights from Random Test Sequences
Roth, who is presently setting up a group at the Technology Innovation Institute in Abu Dhabi, describes: “From the outcomes of random test sequences, we can now draw out different numbers that demonstrate how close the operations are on analytical average to the wanted operations. This enables us to discover far more from the exact same information than in the past. And what is crucial: the quantity of information needed does not grow linearly however just logarithmically.”
This indicates: to discover a hundred times as much, only two times as much information is required. An enormous enhancement. The group had the ability to show this by utilizing approaches from mathematical physics.
” This is about benchmarking quantum computers,” says Eisert, who heads a joint research group on theoretical physics at Helmholtz-Zentrum Berlin and Freie Universität Berlin. “We have actually demonstrated how randomized data can be used to calibrate such systems. This work is essential for the advancement of quantum computer systems.”
Reference: “Shadow estimate of gate-set properties from random sequences” by J. Helsen, M. Ioannou, J. Kitzinger, E. Onorati, A. H. Werner, J. Eisert and I. Roth, 19 August 2023, Nature Communications.DOI: 10.1038/ s41467-023-39382-9.
A group of international specialists has established a new approach for benchmarking quantum computer systems, using mathematical physics to obtain significant efficiency metrics from random information series. This tool can identify quantum operations and compare them to conventional computing, requiring logarithmically less information for greater insights.
The field of quantum computing is rapidly advancing, but as quantum computer systems increase in size and intricacy, they end up being less like a tool and more like a mysterious black box. A group utilizing mathematical physics has now broken this box open, managing to draw out concrete metrics from apparently random data series. These metrics work as standards for examining quantum computer performance.
Specialists from Helmholtz-Zentrum Berlin, Freie Universität Berlin, Qusoft Research Centre Amsterdam, the University of Copenhagen, and the Technology Innovation Institute Abu Dhabi were associated with the work, which has actually now been published in Nature Communications.
Efficiency in Quantum Calculations
Quantum computer systems can be used to calculate quantum systems much more efficiently and resolve problems in products research study. Suitable tools are therefore needed to identify such quantum operations and to fairly compare the capabilities of quantum computer systems with classical computing power for the same jobs.
