Quantum Machines
Overview
Quantum control and orchestration systems. Develops OPX+ quantum controller hardware and QUA programming language for real-time quantum-classical processing. Critical infrastructure for quantum error correction.
Key Milestones
- 2018: Founded by Itamar Sivan, Yonatan Cohen, and Nissim Ofek
- 2022: Released OPX+ quantum controller
- 2023: Raised $70M Series B
- 2024: QUA language adopted by major quantum hardware labs
- 2025: Integrated NVQLink with NVIDIA for microsecond-latency quantum error correction
- 2026: Partnered with NVIDIA Accelerated Quantum Research Center
Technology Approach
Quantum Machines builds the control layer between classical computers and quantum processors. Their OPX+ controller generates and processes the precise microwave pulses that manipulate qubits, with real-time classical processing capability that’s critical for error correction.
The QUA programming language allows researchers to write quantum experiments that include real-time classical decision-making — essential for adaptive algorithms and error correction protocols where the classical computer must react to quantum measurements within microseconds.
NVIDIA Partnership
The integration with NVIDIA’s NVQLink interconnect is significant: it enables microsecond-feedback loops between GPU supercomputers and quantum processors. This is not optional infrastructure — it’s a prerequisite for practical quantum error correction, where classical decoders must process syndrome data faster than new errors accumulate.
Competitive Position
Strengths: Infrastructure that every quantum computer needs. Hardware-agnostic (works with superconducting, trapped ion, and other modalities). NVIDIA partnership positions them at the centre of the hybrid quantum-classical stack.
Challenges: Zurich Instruments and Keysight also compete in quantum control. Risk that large quantum hardware companies build their own control electronics.