Skip to content
Quantum Zeitgeist
  • Quantum Computing
    • Quantum Computing News
    • Quantum Research News
    • Quantum Computing Business News
    • Quantum Algorithms
    • Quantum Physics
    • Quantum Hardware
    • Quantum Applications
    • Quantum Security
    • Quantum Sensors
    • Quantum Machine Learning
    • Quantum Funding Landscape
    • Quantum Internet
    • Quantum Features
    • Quantum Programming
    • Quantum Cryptography
    • Quantum Companies
  • Technology News
    • Physics
    • Artificial Intelligence
    • Machine Learning
    • Robotics
  • Entangled Future
Quantum Research News

Researchers Calculate Atomic Corrections Using 500-Element Basis Sets

Avatar of Ivy Delaney
October 25, 2026 by Ivy Delaney
Researchers Calculate Atomic Corrections Using 500-Element Basis Sets

A new computational technique employing an extensive Gaussian basis set now delivers vacuum polarization corrections with precision matching established methods like Green’s function integration. ITMO University and Kurchatov Institute demonstrated that calculations involving differences between quantities converge more rapidly than those requiring absolute values; they applied their method to lithium-like ions, extending its flexible application beyond hydrogenic systems. An improved computational technique determines subtle energy shifts within highly charged ions; these calculations are vital for testing physics theories at extreme conditions.

Employing extensive datasets of Gaussian functions, a type of mathematical basis used to approximate solutions, the approach achieves accuracy comparable with established methods like Green’s function integration. The ITMO University and Kurchatov Institute team refined calculations of subtle energy shifts within highly charged ions, essential for rigorously testing fundamental physics under extreme conditions. The new technique employs an extensive set of tools using Gaussian functions; it approximates complex solutions similarly to building with LEGO bricks.

These calculations focus on the Wichmann-Kroll vacuum polarization correction, which represents tiny changes in an atom’s energy caused by quantum fluctuations of empty space around its nucleus, similar to ripples on a pond affecting a floating object. Researchers found that calculating differences between certain quantities converges more rapidly than determining absolute values, improving efficiency. This method achieves accuracy comparable to traditional approaches and extends beyond simple hydrogenic systems to include lithium-like ions; but can this approach be scaled further for even heavier elements.

Larger Basis Sets Enable Precise Vacuum Polarization Calculations for Highly Charged Ions

This advance enables accurate calculation of all-order Wichmann-Kroll corrections, vital for verifying experimental measurements at high energies where subtle energy shifts become significant. Calculations involving differences between quantities like nuclear model corrections converge faster than those requiring absolute values; this streamlines computation and reduces resource demands.

Lithium-like ions are now within reach thanks to these findings, extending the technique beyond hydrogenic systems and broadening its applicability within atomic structure theory and quantum electrodynamics. A basis set this large enabled vacuum polarization correction precision equivalent to Green’s function integration, a benchmark inaccessible until recently because of computing power restrictions. While promising, current results do not yet demonstrate scalability to heavier elements or molecular systems; a practical pathway beyond simplified models remains elusive due to exponentially increasing computational demands.

The team successfully broadened their scope from hydrogen-like ions to include lithium-like systems. Comparable accuracy with established methods like Green’s function integration is achieved when calculating energy shifts in highly charged ions using this new method, though the computational cost at scale still requires further investigation. Greater accuracy for these complex calculations involving highly charged ions consistently demands increased computing resources, a limitation common across quantum physics and presenting an ongoing challenge.

Comparable precision justifies continued research into optimising the process and offers a valuable alternative approach for verifying experimental results and refining theoretical atomic structure models. The ITMO University and Kurchatov Institute team demonstrated a technique achieving vacuum polarization correction precision equivalent to that of Green’s function integration, important for testing fundamental physics theories under extreme conditions with atoms stripped of many electrons.

This could refine future computations by focusing on relative energy level determinations, potentially improving atomic structure models in the coming decade as quantum computing power increases and allows tackling even more complex systems from first principle calculations. Achieving precision comparable to Green’s function integration demonstrates an alternative method for determining subtle energy shifts in these atoms.

They also observed that some calculations, specifically those involving differences between two quantities, converge faster than others, which may improve computational efficiency. This work provides a valuable way to verify theoretical atomic structure models and experimental results under extreme conditions.

👉 More information
🗞 Accurate Wichmann-Kroll vacuum polarization calculations with Gaussian basis set
✍️ V. K. Ivanov, D. A. Glazov and A. V. Volotka (ITMO University)
🧠 ArXiv: https://arxiv.org/abs/2610.29603

More like this
Quantum Research NewsResearchers Link Particles & Antiparticles to Quantum Charge
Quantum Research NewsResearchers Distinguish 355 Sets of Five Quantum States with Local Operations
Quantum Research NewsEns-Psl Team Builds Compact Ultracold Strontium Setup
Quantum Research NewsResearchers Predict Equal Quantum Split Probability below Critical Time
Stay current

See today’s quantum computing news on Quantum Zeitgeist for the latest breakthroughs in qubits, hardware, algorithms, and industry deals.

Tags:
Gaussian basis set hydrogen-like system lithium-like ions vacuum polarization Wichmann-Kroll correction
Avatar of Ivy Delaney

Ivy Delaney

Ivy Delaney has been working with neural networks and machine learning since the mid-nineties, back when a couple of hidden layers and a long afternoon of training counted as ambitious. She has watched the field go from academic curiosity to the thing quietly running underneath everything, and she brings that long view to quantum computing. For Quantum Zeitgeist she covers the ground where the two fields meet. That means quantum machine learning and the variational algorithms it leans on, and it also means the less glamorous but more interesting story of classical machine learning already doing real work inside quantum machines, decoding error-correcting codes, calibrating noisy hardware and learning the error models that simulators depend on. She writes about the hardware those algorithms have to run on too, and about the post-quantum cryptography scramble that the same hardware has set off. Her stories typically start with the paper, whether that is peer-reviewed work, conference proceedings or an arXiv preprint, with the source linked so you can hold a claim up against the research it came from. She is unimpressed by benchmarks that will not say what they beat, and by demonstrations that only work in the press release.

Latest Posts by Ivy Delaney:

QuEra Computing’s Pedro Lopes followed quantum knowledge around the world

QuEra Computing’s Pedro Lopes followed quantum knowledge around the world

October 25, 2026
Researchers Build Shorter Quantum Error Correction Codes

Researchers Build Shorter Quantum Error Correction Codes

October 25, 2026
Researchers Link Particles & Antiparticles to Quantum Charge

Researchers Link Particles & Antiparticles to Quantum Charge

October 25, 2026

Search

Quantum Zeitgeist

The Quantum Newsletter

Quantum computing's breakthroughs, deals, and research, delivered straight to your inbox.

Read by quantum researchers, engineers, developers, and business professionals worldwide.

The Entangled Future neon sign glowing above a gold quantum computer assembly, with light trails running out to either side

The Quantum Ecosystem

Explore the Quantum Navigator

A living directory of the global quantum industry, plus public quantum stocks and the investors funding them.

1,597Companies 62Countries
Open the Navigator →

Counts as of October 2026

Latest Quantum News

  • QuEra Computing’s Pedro Lopes followed quantum knowledge around the world
  • Researchers Build Shorter Quantum Error Correction Codes
  • Researchers Link Particles & Antiparticles to Quantum Charge
  • Researchers Test Binary Quadrature Encoding on a 56-Qubit Chip
  • Researchers Simulate Cooling of 500-Ion Crystal

Popular Quantum News Articles

  • Atom Interferometry Maps Spacetime Curvature
  • SpecterAI’s Huynh says banks must test quantum defenses now
  • Quantum sensors offer a GPS alternative as battlefield jamming rises
  • AmpliTech Powers Quantum Computing with Low Noise Amplifiers
  • Black Holes & Life: AGN Radiation Shields Planets
  • Quantum hardware roadmaps met the wiring problem at QCE26
  • Matthew Kinsella, The Investor Who Took Over the Company He Funded
  • Pentagon event spotlights 70 years of DoW ManTech investment
  • Quantum Zeitgeist Weekly Digest October 17th
  • Government Spending on Quantum Technology Is About $3.3 Billion a Year in Plans and Budgets
  • Amplify ETFs launches fund focused on top chip makers
  • Peter Shor joins Zapata Quantum’s advisory board

Browse the Quantum Landscape

  • Top Quantum Hardware Companies
  • Top Quantum Software Companies
  • Quantum Cloud Providers
  • Post-Quantum Cryptography Guide
  • Quantum Navigator (1,000+ Companies)
  • Best Quantum Computing Books
  • History of Quantum Computing
  • Quantum Computing Glossary
Quantum Zeitgeist
Bluesky Logo

Learn Quantum Computing

  • Quantum Applications
  • Quantum Books
  • Quantum Computing Courses
  • Quantum Machine Learning
  • Quantum Programming

Quantum Industry

  • Quantum Cloud
  • Quantum Companies
  • Quantum Cryptography
  • Quantum Finance
  • Quantum Hardware
  • Quantum Internet
  • Quantum Funding

Technology

  • Artificial Intelligence
  • Analog Computing
  • Deep Tech
  • Emerging Technology
  • High Performance Computing
  • Machine Learning
  • Space
  • Science
  • Robotics

About Us

  • About Us
  • Write for Us
  • Terms and Conditions
  • Privacy Policy
  • Contact Us
  • Newsletter on Substack

Disclaimer: All material, including information from or attributed to Quantum Zeitgeist or individual authors of content on this website, has been obtained from sources believed to be accurate as of the date of publication. However, Quantum Zeitgeist makes no warranty of the accuracy or completeness of the information and Quantum Zeitgeist does not assume any responsibility for its accuracy, efficacy, or use. Any information on the website obtained by Quantum Zeitgeist from third parties has not been reviewed for accuracy.

Copyright 2019 to 2026 The Quantum Zeitgeist website is owned and operated by Hadamard LLC, a Wyoming limited liability company.

Manage your privacy

To provide the best experiences, we and our partners use technologies like cookies to store and/or access device information. Consenting to these technologies will allow us and our partners to process personal data such as browsing behavior or unique IDs on this site and show (non-) personalized ads. Not consenting or withdrawing consent, may adversely affect certain features and functions.

Click below to consent to the above or make granular choices. Your choices will be applied to this site only. You can change your settings at any time, including withdrawing your consent, by using the toggles on the Cookie Policy, or by clicking on the manage consent button at the bottom of the screen.

Functional Always active
The technical storage or access is strictly necessary for the legitimate purpose of enabling the use of a specific service explicitly requested by the subscriber or user, or for the sole purpose of carrying out the transmission of a communication over an electronic communications network.
Preferences
The technical storage or access is necessary for the legitimate purpose of storing preferences that are not requested by the subscriber or user.
Statistics
The technical storage or access that is used exclusively for statistical purposes. The technical storage or access that is used exclusively for anonymous statistical purposes. Without a subpoena, voluntary compliance on the part of your Internet Service Provider, or additional records from a third party, information stored or retrieved for this purpose alone cannot usually be used to identify you.
Marketing
The technical storage or access is required to create user profiles to send advertising, or to track the user on a website or across several websites for similar marketing purposes.
Statistics

Marketing

Features
Always active

Special features

Special purposes
Always active

  • Manage options
  • Manage services
  • Manage {vendor_count} vendors
  • Read more about these purposes
Manage options
  • {title}
  • {title}
  • {title}