QuantrolOx
QuantrolOx provides Quantum EDGE, a machine-learning-based automation platform that accelerates the bring-up, characterization, and tuning of superconducting quantum computers. The platform reduces single-qubit commissioning from 1–2 days to seconds and enables one operator to manage multiple quantum processors, replacing the typical need for 3–4 experts per 10 qubits. It also offers Quantum EDGE Academy for workforce training and VIDYAQAR, an open-architecture superconducting quantum system for education and research.
- Quantum Computing
- Artificial Intelligence
- Hardware
- Software Only
- Education Technology
Funding
Raised to date
€28MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Est. $30.5M$18.7M across 3 disclosed rounds
+5€12M · Series A
Announced Oct 2026 · from article date
Disclosed cumulative: $18.7M
Reported total $30.5M
Incomplete round history. $11.8M of the $30.5M reported total isn’t matched to a known round.
Founders
Founder details are not available yet.
Product
Problem
Qubit bring-up, characterization, and testing currently require days of manual effort and multiple experts, slowing the development cycle of quantum hardware. The limited scalability of existing control methods hampers productivity as the number of qubits grows.
Solution
QuantrolOx offers Quantum EDGE, an automation platform that streamlines qubit bring-up, characterization, and tuning processes for superconducting quantum computers. The platform reduces the time to commission a single qubit from 1–2 days to seconds, enabling rapid iteration. Quantum EDGE consolidates expert workflows so that one specialist can manage multiple quantum processors simultaneously, replacing the typical requirement of 3-4 experts per 10 qubits. The solution provides a unified interface for configuring, testing, and optimizing qubits, delivering consistent results with minimal manual intervention. The company also offers Quantum EDGE Academy, a practical training platform with simulated hardware, and VIDYAQAR, an integrated open-architecture superconducting quantum system for education and research.
Target Audience
Primary customers are quantum hardware development teams, research labs, and quantum computing manufacturers that need to accelerate qubit commissioning and reduce staffing overhead. The products also serve universities and research institutions seeking practical quantum hardware training and open-architecture systems for education and testing.
Features
- Automated test scripts for qubit initialization, calibration, and performance measurement
- Machine-learning-based tuning and optimization of superconducting quantum devices
- Real-time data acquisition and analytics to assess qubit parameters and identify tuning adjustments
- Scalable control architecture allowing a single operator to oversee multiple quantum computers
- Simplified execution of complex tasks such as randomized benchmarking
- Integrated workflow management that coordinates bring-up, characterization, and tuning steps
- Hardware-agnostic design compatible with various quantum processing unit architectures
- Quantum EDGE Academy provides expert-developed courses with realistic simulated hardware for workforce training
- VIDYAQAR offers an open-architecture superconducting quantum system for hands-on education and benchmarking