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A Step Closer to Practical Quantum Computers

Published on June 25, 2026, 8:49 a.m.
A Step Closer to Practical Quantum Computers

Topic: Physics

Researchers have found a way to correct errors in quantum computers while performing calculations. This is a big step towards making these powerful machines practical.

Quantum computers have the potential to revolutionize many fields, but they are still difficult to build and use. One major challenge is that tiny errors can ruin calculations. These errors usually happen when qubits (the quantum equivalent of bits) suddenly change their value.

To fix this problem, researchers combine many physical qubits into a single logical qubit and apply continuous error correction. This helps keep the quantum information safe over time. However, storing information is only part of the task. To run a quantum algorithm, qubits must be actively manipulated using quantum gates.

A team led by Professor Andreas Wallraff has now found a way to perform these operations while correcting errors at the same time. This is an important advance towards making fault-tolerant quantum computers a reality.

Error correction in classical computers relies on copying information, but this approach doesn't work for qubits. Instead, researchers use surface codes to spread the information of a single qubit across several physical data qubits. Error detection relies on repeated measurements of stabilizers, which are monitored using additional qubits.

The process becomes more complex when researchers want to apply logical operations between two logical qubits. Errors can occur during these operations, and they must also be corrected.

In superconducting quantum processors, qubits are fixed in place, making it difficult to perform logical operations. However, the team has found a way to overcome this challenge by demonstrating lattice surgery on two distance-three repetition codes with superconducting qubits.

Why Quantum Error Correction Is Different: With qubits, things are a lot more complicated. Quantum information cannot be copied or cloned. Instead, it must be distributed across entangled qubits. On top of that, quantum systems suffer from phase flip errors, which have no equivalent in classical computing and require their own correction methods.

Why It Matters: This breakthrough brings us closer to making practical quantum computers a reality. These machines could revolutionize many fields, including materials science and cryptography, and have the potential to solve complex problems that are currently unsolvable with classical computers.

Why It Matters

This breakthrough has the potential to make quantum computers more practical and accessible, which could lead to new discoveries and innovations in various fields. As India continues to grow its technology sector, this development could have significant implications for the country's future.

Key Facts

  • Researchers have found a way to correct errors in quantum computers while performing calculations.
  • The team used surface codes to spread the information of a single qubit across several physical data qubits.
  • Lattice surgery was demonstrated on two distance-three repetition codes with superconducting qubits.
  • This breakthrough brings us closer to making practical quantum computers a reality.
  • Quantum error correction is different from classical error correction because qubits cannot be copied or cloned.

Key Terms

Qubit
A fundamental unit of quantum information that can exist in multiple states simultaneously

Implications

This breakthrough has the potential to make quantum computers more practical and accessible, which could lead to new discoveries and innovations in various fields. As India continues to grow its technology sector, this development could have significant implications for the country's future.


Source: https://www.sciencedaily.com/releases/2026/02/260206012208.htm

Journal Reference:

  1. Ilya Besedin, Michael Kerschbaum, Jonathan Knoll, Ian Hesner, Lukas Bödeker, Luis Colmenarez, Luca Hofele, Nathan Lacroix, Christoph Hellings, François Swiadek, Alexander Flasby, Mohsen Bahrami Panah, Dante Colao Zanuz, Markus Müller, Andreas Wallraff. Lattice surgery realized on two distance-three repetition codes with superconducting qubits. Nature Physics, 2026; DOI: 10.1038/s41567-025-03090-6
  2. Sebastian Krinner, Nathan Lacroix, Ants Remm, Agustin Di Paolo, Elie Genois, Catherine Leroux, Christoph Hellings, Stefania Lazar, Francois Swiadek, Johannes Herrmann, Graham J. Norris, Christian Kraglund Andersen, Markus Müller, Alexandre Blais, Christopher Eichler, Andreas Wallraff. Realizing repeated quantum error correction in a distance-three surface code. Nature, 2022; 605 (7911): 669 DOI: 10.1038/s41586-022-04566-8

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