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Q-CTRL Tech Stack
AI-powered infrastructure software for quantum computing and sensing
Q-CTRL builds infrastructure software that bridges quantum hardware and applications through AI-driven control protocols. The stack reveals a mature scientific-computing foundation (Python, NumPy, PyTorch, Julia, MATLAB, Qiskit, IBM Quantum) paired with production infrastructure (Kubernetes, FastAPI, gRPC, AWS, GCP), indicating the company operates both as a research organization and a deployed-systems vendor. The hiring mix is research-heavy (14 research roles vs. 20 engineering), with senior/staff concentration, suggesting deep technical depth over headcount scaling.
Tech Stack 53 technologies
What Q-CTRL Is Building
◆Challenges
- Reducing swap and increasing ruggedness
- Solving hardest challenges in quantum computing
- Quantum research to production gap
- Operating reliably in harsh environments
- Improving magnetometer sensitivity
- Reducing scientific risk
- Ensuring systems are correctly assembled
- Efficiently log and process operational data
- Dynamic security landscape
- Compliance with security frameworks
▲Active Projects
- Develop solutions for quantum technologies and deploying them in the q-ctrl product suite
- Strengthening security of q-ctrl platform
- Quantum sensor prototypes for magnetic and inertial navigation
- Develop next-generation atom interferometer based quantum sensors
- Software-layer control protocols for optically pumped atomic magnetometers
- Fire opal integration with external systems
- Establishing deployment, testing, and release practices for hardware-in-the-loop systems
- Compiler stack for openqasm3 + openpulse
- Error suppression product development
- Next-generation small-form-factor quantum magnetometers
Hiring Activity
Minimal45 roles · 5 in 30d
Department
Seniority
Company intelligence
