• HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
Tuesday, April 7, 2026
BIOENGINEER.ORG
No Result
View All Result
  • Login
  • HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
        • Lecturer
        • PhD Studentship
        • Postdoc
        • Research Assistant
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
  • HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
        • Lecturer
        • PhD Studentship
        • Postdoc
        • Research Assistant
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
No Result
View All Result
Bioengineer.org
No Result
View All Result
Home NEWS Science News Chemistry

Quantum computing: Benchmarking performance by random data

Bioengineer by Bioengineer
August 29, 2023
in Chemistry
Reading Time: 2 mins read
0
Quantum computing: benchmarking performance by random data
Share on FacebookShare on TwitterShare on LinkedinShare on RedditShare on Telegram

With increasing size and complexity, quantum computers become a sort of black box. Using methods from mathematical physics, a team has now succeeded in deriving concrete numbers from random, data sequences that can serve as a benchmark for the performance of a quantum computer system. Experts from Helmholtz-Zentrum Berlin, Freie Universität Berlin, Qusoft Research Centre Amsterdam, the University of Copenhagen and the Technology Innovation Institute Abu Dhabi were involved in the work, which has now been published in Nature Communications.

Quantum computing: benchmarking performance by random data

Credit: I. Roth/Quantum research center, TII

With increasing size and complexity, quantum computers become a sort of black box. Using methods from mathematical physics, a team has now succeeded in deriving concrete numbers from random, data sequences that can serve as a benchmark for the performance of a quantum computer system. Experts from Helmholtz-Zentrum Berlin, Freie Universität Berlin, Qusoft Research Centre Amsterdam, the University of Copenhagen and the Technology Innovation Institute Abu Dhabi were involved in the work, which has now been published in Nature Communications.

Quantum computers can be used to calculate quantum systems much more efficiently and solve problems in materials research, for example. However, the larger and more complex quantum computers become, the less transparent the processes that lead to the result. Suitable tools are therefore needed to characterise such quantum operations and to fairly compare the capabilities of quantum computers with classical computing power for the same tasks. Such a tool with surprising talents has now been developed by a team led by Prof. Jens Eisert and Ingo Roth.

Roth, who is currently setting up a group at the Technology Innovation Institute in Abu Dhabi, explains: “From the results of random test sequences, we can now extract different numbers that show how close the operations are on statistical average to the desired operations. This allows us to learn much more from the same data than before. And what is crucial: the amount of data needed does not grow linearly but only logarithmically.” This means: to learn a hundred times as much, only twice as much data is needed. An enormous improvement. The team was able to prove this by using methods 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 shown how randomised data can be used to calibrate such systems. This work is important for the development of quantum computers.”



Journal

Nature Communications

DOI

10.1038/s41467-023-39382-9

Method of Research

Computational simulation/modeling

Subject of Research

Not applicable

Article Title

Shadow estimation of gate-set properties from random sequences

Article Publication Date

19-Aug-2023

COI Statement

none

Share12Tweet8Share2ShareShareShare2

Related Posts

Biochar from Agricultural Waste Significantly Enhances Ozone Treatment for Eliminating Persistent Water Pollutants

Biochar from Agricultural Waste Significantly Enhances Ozone Treatment for Eliminating Persistent Water Pollutants

April 6, 2026
AI Drives Innovation: Designing Advanced Biochar to Eliminate Antibiotics from Water

AI Drives Innovation: Designing Advanced Biochar to Eliminate Antibiotics from Water

April 6, 2026

Breakthrough Microscopy Unveils Concealed Magnetic Chemistry in Living Organisms

April 6, 2026

Advances in Zeolite Morphology Control Using Organic Templates

April 6, 2026

POPULAR NEWS

  • blank

    Revolutionary AI Model Enhances Precision in Detecting Food Contamination

    97 shares
    Share 39 Tweet 24
  • Promising Outcomes from First Clinical Trials of Gene Regulation in Epilepsy

    51 shares
    Share 20 Tweet 13
  • Imagine a Social Media Feed That Challenges Your Views Instead of Reinforcing Them

    1009 shares
    Share 399 Tweet 249
  • Popular Anti-Aging Compound Linked to Damage in Corpus Callosum, Study Finds

    44 shares
    Share 18 Tweet 11

About

We bring you the latest biotechnology news from best research centers and universities around the world. Check our website.

Follow us

Recent News

Storing Mechanical Energy with 2D Spiral Nanomaterials

Tumor Granulocytes and NETs in Colorectal Cancer

Multimorbidity Drives Functional Decline in Retired Seniors

Subscribe to Blog via Email

Enter your email address to subscribe to this blog and receive notifications of new posts by email.

Join 78 other subscribers
  • Contact Us

Bioengineer.org © Copyright 2023 All Rights Reserved.

Welcome Back!

Login to your account below

Forgotten Password?

Retrieve your password

Please enter your username or email address to reset your password.

Log In
No Result
View All Result
  • Homepages
    • Home Page 1
    • Home Page 2
  • News
  • National
  • Business
  • Health
  • Lifestyle
  • Science

Bioengineer.org © Copyright 2023 All Rights Reserved.