⚛ Quantum Computing at ShobinZ Lab
ShobinZ Lab was formed with quantum computing in mind. We build classical engineering systems today, but every platform we design — from linear actuator health monitoring to FPGA control pipelines — is built to be compatible with, and to directly and indirectly support, quantum computing research.
Our FPGA boards act as the classical co-processor testbed for quantum-classical hybrid algorithms, and our sensor datasets feed quantum machine-learning experiments.
If you want to be part of this community, contact us — we welcome collaborators, students and researchers.
Quantum-Classical Hybrid Control
FPGA as a co-processor for quantum algorithms — real-time control loops driven by quantum-inspired optimisation.
Quantum Machine Learning on Sensor Data
Quantum feature maps and variational circuits for actuator health classification on our own labelled datasets.
Quantum Random Number Generation
Qiskit-based QRNG for AES key generation and MQTT encryption in industrial IoT security.
Join our quantum community