Intel signed a definitive agreement to acquire Classiq, the Tel Aviv quantum algorithm synthesis company, in a deal Calcalist reports at $2.3 billion. The acquisition pairs Classiq’s hardware-agnostic software with Intel’s silicon spin-qubit program and gives Intel visibility into enterprise quantum demand across every qubit modality.
What Is Covered in This Article:
- A definitive agreement for Intel to acquire Classiq, reported at $2.3 billion in cash and shares, closing in the first half of 2027
- Classiq’s enterprise customer base including BMW, Citi, Rolls-Royce, HSBC, and Mizuho
- Roughly $200 million raised since 2020 against a reported 2025 valuation of $600 to $700 million
- Lip-Bu Tan’s personal investment in Classiq since 2022 and his stated goal of building “the next Cadence” for quantum
- A 2026 qubit chip tape-out on Intel’s 18A-derived quantum process, disclosed in an analyst briefing
The News: Intel announced on October 26 a definitive agreement to acquire Classiq, a Tel Aviv-based quantum software company, to create what it calls a full-stack quantum computing platform that pairs Classiq’s automated quantum algorithm synthesis with Intel’s silicon spin qubit technology and manufacturing. Intel did not disclose terms. Calcalist reports a $2.3 billion price in cash and shares, the largest acquisition of a quantum computing company to date. The deal is expected to close in the first half of 2027, subject to regulatory approvals, and Intel says Classiq’s software will remain hardware-agnostic, with its multi-platform integrations intact.
“Joining forces with Classiq transforms Intel’s Quantum Computing Group into a full-stack quantum computing business,” said Lip-Bu Tan, CEO of Intel. Classiq, founded in 2020, employs about 150 people and protects its synthesis technology with more than 60 patents.
Can Classiq Make Intel the Cadence of Quantum Computing?
Analyst Take: Lip-Bu Tan explained the method behind this deal a month before announcing it. On the QuantumJane podcast in September, Tan said the key to scaling quantum computing lies in applications. His discipline is to track which customers are paying money to run real research and let the pattern show where the market is going. Classiq is that pattern detection machine. The platform sits above the hardware, so it sees what enterprises are building regardless of which qubit modality they target. Each hardware vendor sees the workloads running on its own machines. Intel now sees the demand signal across all of them, years before anyone can read it off a revenue line. That is the Cadence playbook, which Tan ran as Cadence CEO from 2009 to 2021: own the layer that knows what everyone is designing before the chip exists. On the same podcast, Tan described his goal for Classiq as becoming “the next Cadence” in quantum computing.
Classiq’s Customers Give Intel a Quantum Demand Signal and Chance to Define the Future of Quantum EDA
Classiq’s public roster maps where paid quantum research is concentrating. The customers and partners shown on Classiq’s site span BMW Group, Rolls-Royce, HSBC, Citi, Mizuho, Intesa Sanpaolo, KPMG, Deloitte, NTT DATA, Mitsubishi Chemical, Toshiba, LG, and Comcast, with testimonials from BMW, Rolls-Royce, HSBC, KPMG, and Mitsubishi Chemical describing platform work, and a published collaboration with Comcast and AMD applying a quantum algorithm to network resilience. Its hardware hub lists integrations spanning Amazon Braket, Microsoft Azure, and IBM, Quantinuum, QuEra, and Rigetti hardware. Futurum understands the base runs wider, to names including AT&T, Lufthansa, Applied Materials, and Wells Fargo among many dozens of large enterprises, and that the deal formalizes a collaboration roughly 2 years old, with an initial group of high-profile Classiq customers already running the platform against the Intel Quantum SDK’s large-scale simulation flow. Every circuit synthesized on Classiq tells Intel which applications enterprises fund and which hardware they route to. The implication is that Intel bought market intelligence as much as software: dozens of enterprises’ quantum experiments become Intel’s private view of the application landscape.
This customer base is what makes the Cadence comparison operative rather than decorative. EDA became indispensable by moving chip design up an abstraction level. Engineers describe behavior, synthesis produces the gates, and every design flows through the tool no matter which foundry builds the chip. Classiq rebuilt that mechanism for quantum. Developers model an algorithm at the functional level and the platform synthesizes optimized circuits for any backend, which converts work that once required scarce quantum information scientists into work an ordinary software engineer can do. Once an enterprise writes its models in Classiq’s language, switching means rewriting them, the lock-in that gave Cadence decades of recurring revenue and a view into every design before tape-out. The deal also fills the one layer Intel lacked. Intel already builds spin-qubit QPUs, cryogenic control chips descended from Horse Ridge, and a hybrid-native compiler and runtime in the Intel Quantum SDK. The missing piece was an application environment enterprises would touch. Classiq converts a stack usable by physicists into one usable by BMW’s and HSBC’s engineers, and it becomes the front door through which Intel sells QPUs beside its CPUs and GPUs in hybrid systems.
A Quiet 18A Tape-Out Moves Intel Quantum From Research Project to Roadmap
Intel’s hardware program is further along than its public silence suggested. Futurum understands from industry conversations that Intel taped out a qubit chip this year on a process variant called 18AQ, with a companion 18AC variant for cryogenic control electronics, keeping qubit development roughly in line with its most advanced logic node and moving well past the 12-qubit Tunnel Falls chip of 2023. The spin-qubit chips come out of the same Oregon fab that produces CPUs in the hundreds of millions. Intel’s answer to spin-qubit rivals claiming CMOS manufacturing is that nobody else runs qubits through a fab at that volume. The program ran as a research project from 2015 until Tan consolidated it under the CTO office, and Futurum expects Intel to stay concentrated on silicon spin qubits rather than diversify across modalities. The commitment still measures small with about 70 people working on quantum at Intel next to IBM’s $10 billion path to fault-tolerant Starling by 2029, which Futurum analyzed in IBM Maps a $10 Billion Path to Fault-Tolerant Quantum Computing, and pricing and commercialization terms do not exist yet, with Intel’s quantum engagements to date running through governments and research labs.
Neutrality Is Now a Promise Intel Must Keep
Classiq’s market position rests on being Switzerland, and Intel ownership strains it from day one: every integrated hardware vendor now feeds workload intelligence to a company building competing QPUs. Futurum understands that hardware-specific engineering will remain confined to the Intel Quantum SDK layer beneath Classiq, and that Intel cannot control whether rivals continue granting access. Classiq’s defense is architectural: the platform synthesizes portable output in Qiskit, CUDA-Q, and other formats, so customers run generated circuits on whatever hardware they can access. Qiskit, CUDA-Q, and Quantinuum’s TKET give uneasy vendors somewhere to move their users.
What to Watch:
- Whether Intel publishes a dated quantum roadmap with qubit-count and error-correction milestones after the deal closes
- Whether results from the 18AQ qubit chip taped out this year appear in 2027
- Whether Intel offers quantum manufacturing or cryogenic control through Intel Foundry to other hardware vendors
- Whether Intel makes further quantum acquisitions in error correction or control software
- Whether IBM, Quantinuum, QuEra, and Rigetti keep their Classiq integrations live after closing
Read the full announcement on the Intel website.
Sources
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Author Information
Brendan is Research Director, Semiconductors, Supply Chain, and Emerging Tech. He advises clients on strategic initiatives and leads the Futurum Semiconductors Practice. He is an experienced tech industry analyst who has guided tech leaders in identifying market opportunities spanning edge processors, generative AI applications, and hyperscale data centers.
Before joining Futurum, Brendan consulted with global AI leaders and served as a Senior Analyst in Emerging Technology Research at PitchBook. At PitchBook, he developed market intelligence tools for AI, highlighted by one of the industry’s most comprehensive AI semiconductor market landscapes encompassing both public and private companies. He has advised Fortune 100 tech giants, growth-stage innovators, global investors, and leading market research firms. Before PitchBook, he led research teams in tech investment banking and market research.
Brendan is based in Seattle, Washington. He has a Bachelor of Arts Degree from Amherst College.
