Quantum Simulation Use Cases
Supply Chain Optimization
Supply Chain Optimization
Quantum algorithms help determine the most efficient routes for shipping, minimize warehouse costs, and predict inventory demand more accurately.
Financial Risk Analysis
Supply Chain Optimization
The financial industry heavily relies on simulations and risk assessments to optimize investments, detect fraud, and manage volatility. Classical computers struggle with the computational complexity of modeling large-scale financial markets, especially in real-time.
Cryptography & Security
Current cryptographic methods, such as RSA and ECC, rely on the difficulty of factoring large numbers and solving discrete logarithm problems. However, quantum computers can break these encryptions using Shor’s algorithm, making today’s security measures obsolete in the future.
To address this, QuantSimAI is actively researching post-quantum cryptography (PQC), which focuses on developing quantum-resistant encryption methods.
Pharmaceutical Simulations
Pharmaceutical Simulations
Quantum computing has the potential to revolutionize drug discovery by accurately simulating molecular structures and interactions. Classical computers struggle with quantum chemistry calculations, often requiring approximations that reduce accuracy.
Quantum Machine Learning
Pharmaceutical Simulations
Quantum Machine Learning
Machine learning and artificial intelligence require extensive computational resources for training and inference. Quantum computing enhances these capabilities by introducing quantum machine learning (QML), which accelerates processing and provides better generalization in AI models.
Anomaly detection
Pharmaceutical Simulations
Quantum Machine Learning
Pattern recognition and anomaly detection using quantum-based clustering techniques for fraud detection, medical diagnosis, and financial forecasting.
