Intel is betting on the next generation of computing. Its reported move to acquire Classiq could strengthen its ambitions in quantum technology, where the race to build practical quantum computers is still wide open.

According to Bloomberg’s report, Intel plans to buy Israeli quantum computing startup Classiq as part of its push into the emerging technology.

The reported move brings attention to a crucial part of quantum computing that often gets overlooked: the software needed to make quantum machines useful.

What Does Classiq Actually Do?

Founded in 2020, Classiq develops software that helps researchers and businesses design quantum applications without manually building every underlying quantum circuit.

Its platform translates high-level descriptions of computational problems into optimized quantum circuits that can be adapted to different quantum hardware.

Think of it this way: building a quantum computer is one challenge. Developing software that allows people to use it effectively is another.

Classiq is focused on solving the second problem. The company says it has raised more than $200 million and works to make quantum software development more accessible to enterprises and researchers. Source: Classiq

Why Is Intel Interested in Quantum Computing?

Intel has traditionally been known for its processors and semiconductor manufacturing capabilities. But the company is also exploring quantum computing, including an approach based on silicon spin qubits.

In September 2026, Intel CEO Lip-Bu Tan said the company had around 70 people working on quantum computing. He also highlighted the potential advantage of using Intel’s fabrication expertise to manufacture quantum technology at scale. Source: CTech

An acquisition of Classiq could strengthen Intel’s position beyond quantum hardware research by adding expertise in the software that makes quantum systems programmable and useful.

However, the strategic benefits and integration plans will depend on the details of the reported deal.

What Could This Mean for the Future?

Quantum computing uses quantum-mechanical properties to process information in ways that differ from conventional computing. In the long term, it could help researchers tackle certain complex problems in areas such as chemistry, materials science, optimization, and drug discovery.

But there is a catch: building large, reliable quantum computers remains a significant technical challenge. Hardware scalability, error correction, and practical applications are still major hurdles.

Intel’s reported interest in Classiq reflects a broader industry realization that progress will require more than powerful hardware. It will also depend on software, engineering tools, and applications that deliver measurable value.

The takeaway for founders: The next big technology opportunity may not always be in building the machine itself. Sometimes, it lies in creating the software layer that makes an entirely new technology useful.

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