❓ Frequently Asked Questions

Photonic quantum computing uses particles of light (photons) as qubits instead of trapped ions or superconducting circuits. Photons naturally resist environmental noise, enabling stable operation at room temperature. Our systems use Mach-Zehnder interferometer networks and squeezed light for quantum operations.

Our QL-50 system provides approximately 50 effective qubits through our hybrid photonic-classical architecture. Future systems (QL-100, QL-X) will scale to 100+ qubits. Unlike raw qubit counts, our hybrid approach focuses on practical computational capability.

Our systems support OpenQASM 3 natively, with full compatibility for Qiskit, Cirq, and PennyLane. We provide Python SDKs and REST/gRPC APIs for integration with existing workflows. Students can use familiar tools they may already know from IBM Quantum or Google Cirq.

Our systems target >95% fidelity initially, improving to >99% with calibration on the QL-50. Enterprise systems (QL-100+) target >99.5% fidelity. We continuously improve fidelity through software updates and hardware refinements.

Our systems combine photonic quantum processing with classical GPU/FPGA acceleration. An AI-augmented circuit partitioning engine determines which parts of a computation benefit from quantum processing versus classical execution. This hybrid approach delivers practical speedups without requiring full fault-tolerant quantum computing.

No! This is our key advantage. Unlike superconducting quantum computers that operate at 15 millikelvin (colder than outer space), our photonic systems work at normal room temperature (20-25°C). No dilution refrigerators, no liquid helium, no specialised cooling infrastructure.