Quantum Machines builds quantum control solutions (hardware and software) that reduce errors and coordinate experiments for quantum-computing research. Its technology is used by more than half of all companies working on quantum computers and quantum computing, and the company counts hundreds of clients including startups, large corporates, national labs, universities and banks running research on third‑party machines. Customers and partners cited in the article include Nvidia; the company declined to name other specific customers. Quantum Machines positions itself as agnostic to differing quantum-computing approaches, acting as a mediator that reduces noise across architectures. That customer traction and broad addressable market are central to its commercial momentum. Financially, the company recently completed a large funding round to support its continued operations and growth in the quantum ecosystem. Quantum Machines offers a full‑stack Quantum Orchestration Platform (QOP) and hardware, including OPX and the Pulse Processing Unit (PPU) Hadamard, to orchestrate quantum processors and real‑time algorithms. Its control solutions support a wide range of qubit types and customers typically report more than a 100x speedup of quantum workloads when integrated with existing hardware. The company's technology is used by over 280 quantum computing facilities across 23 countries, and it grew its team to over 140 in 2022. Quantum Machines expanded via the acquisition of Danish firm QDevil and partnerships such as Toyota Tsusho for Japanese customers, and it is participating in the €5m EuRyQa Neutral Atom project. It was chosen to lead the establishment of the Israel Quantum Computing Center, intended to house multiple types of quantum processing units under one roof. Financially, the company announced an additional $20M in funding in January 2023, bringing total funding to $100M. Quantum Machines builds a classical hardware and software stack called the Quantum Orchestration Platform to power and control quantum computers. The company designs its own silicon and focuses on the classical hardware layer and the software that drives it, rather than building quantum chips. Its customers include governments, researchers, universities and hyperscaler operators, and it currently has customers in 15 countries. Quantum Machines has about 60 employees and has expanded hiring globally, leveraging remote work to build a distributed team. The $50M Series B will be used to expand the orchestration platform, accelerate R&D and grow the team. CEO and co‑founder Itamar Sivan frames the company’s vision as making quantum computers ubiquitous across industries as the technology matures. Quantum Machines builds hardware and software to control and program quantum computers, and earlier this year launched its Quantum Orchestration Platform to run quantum algorithms and experiments. The company says the platform has already been adopted by multinational corporations and startups. Founded in 2018 by Drs. Itamar Sivan, Yonatan Cohen and Nissim Ofek, the company employs about 30 people, more than half of whom are physicists. The new funding will be used to accelerate customer adoption and advance the company's technology. Quantum Machines positions itself at the intersection of instrumentation and developer tooling for quantum research and development. Quantum Machines was launched by three Ph.D. physicists and focuses on building the operational and control layer for quantum computing. Co-founder and CEO Itamar Sivan frames a three-layer quantum stack—processor, classical control hardware, and software—and says the company is concentrating on the classical control and software layer. The startup is developing prototype hardware and is working with several beta customers. Today it announced a $5.5 million seed investment to accelerate that work. The funding should help the company move from prototype toward a marketable, vertically integrated control solution that includes both classical hardware and software. Founders argue that commercializing quantum computing requires tightly integrated classical and quantum systems to pass data and interpret commands.

Total raised

$263M

Funding rounds

5

Latest round

Series C

Latest activity

Feb 2025