Q.ANT operates using integrated photonic circuits, where quantum information is processed using light rather than electrons. Key components include:
Photonic qubits: unlike classical bits (0 or 1), qubits in Q.ANT use the quantum states of photons ( e.g. polarization, phase) to enable superposition and entanglement.
Quantum Annealing: a specialized approach for solving optimization problems by finding the lowest energy state of a quantum system.
Silicon photonics: utilizes silicon based chips to manipulate light efficiently, making the system more compact and manufacturable at scale.
Automotive: optimizing traffic flow, autonomous driving algorithms, and battery management.
Manufacturing: enhancing supply chain logistics, predictive maintenance, and production efficiency.
Healthcare: accelerating drug discovery and medical diagnostics.
Finance: portfolio optimization, risk analysis, and fraud detection.
Telecommunications: secure quantum communication networks.
Cost effectiveness: older fabs ( e.g. 180nm or 130nm) are cheaper and widely available.
Mature process stability: well understood manufacturing with high yield.
Analogue friendly: larger feature sizes are often better for analogue circuits (lower noise, better linearity).
Hybrid integration: photonics can be added alongside existing CMOS analog circuits.
Mimic neurons using pulsed lasers or modulators (instead of transistors).
Can be integrated with analogue memory ( e.g. memristors in older nodes).
Analogue photonic circuits can process sensor data ( e.g. lidar, biomedical signals) without digital conversion.
Ising Machines (for Optimization Problems):
Even without full quantum coherence, classical photonic Ising machines can solve optimization problems ( e.g. logistics, finance).
Uses optical parametric oscillators (OPOs) or Mach Zehnder interferometers to find low energy states.
Chaotic Encryption: photonic chaos in semiconductor lasers can generate ultra secure analogue encryption for military/comms.
Analogue quantum key distribution (QKD) Precursors: even without full quantum states, photonic randomness can enhance classical encryption.
While Q.ANT is primarily a quantum computing play, its silicon photonics foundation can be repurposed for analogue optical computing, neuromorphic systems, and secure communications even in older chip fabs. This approach could unlock low cost, high performance analogue applications without needing cutting edge nodes.