G2Q Computing

G2Q Computing offers advanced software solutions that utilize quantum computing to solve complex problems and improve business performance. Our services allow companies to harness the power of quantum computers in a practical and accessible way, even without specific technical knowledge in this field. Here’s how we can help your business: -Optimization of complex data: With our quantum algorithms, we can process large amounts of data faster and more efficiently than traditional methods, simplifying the management of complex data used in logistics or production. - Improvement of model performance: We calibrate complex mathematical and physical models to find optimal solutions, such as improving the stability and efficiency of drones or other dynamic systems. - Enhanced Machine Learning: Our hybrid machine learning package integrates both classical and quantum techniques, allowing for more accurate results with fewer data and lower computational costs. - Optimization: We offer innovative solutions for solving optimization problems, such as optimal resource allocation across multiple accounts, even with non-traditional constraints. - Efficient sample generation: We have developed methods for generating samples from probability distributions more quickly and efficiently, useful in fields such as finance and risk analysis. - Simulation of complex processes: We simulate complex stochastic processes without needing to know all the mathematical details, making it easier to forecast future scenarios in various business contexts. - Optimized routing: We can find the shortest path between multiple destinations, with practical applications in logistics and supply chain management. Our innovative sollutions allow us to leverage quantum computing to solve real-world challenges across various industries, from finance to aerospace. Possible cases include: Financial Institutions: fraud detection, portfolio optimization, and optimal collateral allocation. Future developments will enable real-time Value at Risk (VaR) simulations, sensitivity calculations to numerous risk factors, and advanced calibration techniques for improved valuation of financial instruments. - Aerospace Companies: enhanced design of control systems for improved flight stability, optimization of flight dynamics, and assistance in the development of next-generation aerospace engines. - Life Sciences Companies: Using parameterized quantum circuits, we extract complex graph topological features through quantum dynamics, leveraging classical architectures to gain deeper insights into molecular functions and chemical reactions.

At G2Q Computing, we harness the power of quantum computing where it surpasses classical methods, providing advanced solutions to complex problems. Specifically, we use quantum computers to: 1. Hybrid Quantum/Classical Algorithm for Graph Machine Learning: - Advantages over Classical Software: Access to complex graph topologies and better handling of heterophilic data. - Advantages over Quantum Software Competitors: Optimal parallel execution of quantum and classical jobs. 2. Quantum Latent Space Sampling for Generative AI: - Advantages over Classical Software: Faster sampling and better performance due to quantum annealing. - Advantages over Quantum Software Competitors: Hybrid layer inclusion and parallel execution of quantum computations. 3. Quantum Hybrid Machine Learning Architecture: - Advantages over Classical Software: Better performance with fewer parameters and less data dependency. - Advantages over Quantum Software Competitors: Flexibility to integrate quantum nodes within classical layers. 4. Optimal Quantum Walks and Sampling Techniques: - Advantages over Classical Software: Faster and more efficient graph traversal. - Advantages over Quantum Software Competitors: Improved efficiency on NISQ devices. 5. Optimal Encoding of Probability Distributions: - Advantages over Classical Software: Quadratic speedup in analysis. - Advantages over Quantum Software Competitors: Reduced circuit depth and qubit usage. 6. Hybrid Classical-Quantum QUBO Formulation: - Advantages over Classical Software: Efficient solutions to tackle large NP-hard problems. - Advantages over Quantum Software Competitors: Reduced execution time by running smaller QUBOs in parallel with smaller computational overhead of resources. Our innovative sollutions allow us to leverage quantum computing to solve real-world challenges across various industries, from finance to aerospace. Possible cases include: Financial Institutions: fraud detection, portfolio optimization, and optimal collateral allocation. Future developments will enable real-time Value at Risk (VaR) simulations, sensitivity calculations to numerous risk factors, and advanced calibration techniques for improved valuation of financial instruments. - Aerospace Companies: enhanced design of control systems for improved flight stability, optimization of flight dynamics, and assistance in the development of next-generation aerospace engines. - Life Sciences Companies: Using parameterized quantum circuits, we extract complex graph topological features through quantum dynamics, leveraging classical architectures to gain deeper insights into molecular functions and chemical reactions.