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Harvard researchers present the world’s first logical quantum processor

Felix Baumann
Last updated: May 20, 2025 1:28 pm
By Felix Baumann
Oak Ridge National Laboratory
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Researchers at Harvard University have presented the world’s first logical quantum processor that can encode 48 qubits. A sophisticated quantum computer is now within reach.

A lot has changed since the first compact computer systems for home use were introduced. Processors now process huge amounts of arithmetic operations per second and smartphones are more powerful than computers 20 years ago. However, the chip industry needs new approaches in the long term to further increase performance.

One approach focuses on the development of quantum computer technology. Researchers at Harvard University recently achieved a significant milestone in this area. They developed a programmable logical quantum processor that can encode 48 logical qubits. This enables the execution of hundreds of arithmetic operations (so-called gate operations).

Quantum processor to learn further arithmetic operations

The advance is seen as a potential turning point in the development of quantum processors. It demonstrates the first large-scale execution of algorithms on an error-corrected quantum computer. A quantum bit or “qubit” is a unit of information, similar to a binary bit in classical computer technology.

This development could enable transformative benefits for science and society as a whole. The researchers continue to work on demonstrating additional types of operations on their 48 logical qubits and configuring their system to run continuously.

More powerful quantum computers are becoming more realistic

The new study results show that the first logical quantum processor from Harvard can be an important step towards stable and scalable quantum computing technology. This has the potential to fundamentally change the way we process and store information.

In addition to new supercomputers, quantum systems could also become suitable for everyday use by normal computer users. This is because systems with lower energy requirements can be developed through further optimization. However, further research still needs to demonstrate the extent to which the technology can be scaled up in the future.

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