#veloxq2

VeloxQ 1's capabilities are unmatched. Previous research thought conventional and quantum systems couldn't process 200 million binary variables. Furthermore, conventional computers can achieve this enhanced performance without expensive, unstable, and sometimes unavailable quantum gear. This “quantum-inspired” algorithm challenges the idea that solving such complex problems requires quantum mechanics, laying the framework for a quantum co-processor. Quantumz.io CSO Bartlomiej Gardas says VeloxQ 1 “bridges that gap with a powerful and natively scalable solution,” offering “exceptional performance and precision, while running on standard GPUs, without the need for quantum hardware or problem embedding.” Visionaries Behind Breakthrough A tiny but formidable group of computer scientists, mathematicians, and physicists from Poland's top universities created VeloxQ 1 after two years of hard research. Despite limited grant funds, they developed this groundbreaking algorithm. Quantumz.io received $6 million in grants and $1 million from a syndicate of US and Polish investors in 2023 to advance their mission. Superiority over quantum competitors In extensive head-to-head benchmarking experiments, VeloxQ 1 was compared to several popular quantum hardware platforms and digital quantum algorithms. Digital quantum algorithms like Kipu Quantum and D-Wave Advantage and Advantage2 were compared. It was also compared to D-Wave Kerberos hybrid quantum-classical systems. VeloxQ 1 consistently outperformed its competitors in accuracy and processing speed. This dominance was especially evident in large, real-world issue sets. The company expects VeloxQ 1 to maintain its performance lead for years. The Embedding Advantage: Overcoming Quantum Limitations Its ability to work without “embedding” is a major benefit of VeloxQ 1. Unlike previous quantum solvers, VeloxQ 1 does not need tailoring problems to hardware architectures, which might be daunting. Due to its flexibility, it can handle any graph topology and connectivity pattern, making it instantly usable across many sectors. Immediate Impact in Multiple Industries VeloxQ 1 has broad implications and instant use in various vital industries. Quantumz.io CEO Kamil Hendzel says “optimization problems lie at the core of nearly every modern system, from logistics and scheduling to AI training and portfolio management,” underscoring their prevalence. VeloxQ 1 addresses these concerns and offers significant improvements in: Logistics and Supply Chain Optimisation: Simplifying networks and operations. Finance: Portfolio and financial modelling improvements. Optimisation of energy resources and grid management. AI and machine learning: accelerating model development and application. The approach can scale natively and work without specialised hardware or problem embedding, making it useful for modern real-world applications. Commercialisation and VeloxQ 2 Quantumz.io needs a seed investment to commercialise VeloxQ 1 for energy, banking, and logistics companies. The team is working on VeloxQ 2, the next-generation version, for next year. As a hybrid solver, VeloxQ 2 will integrate with quantum hardware, expanding the quantum computing ecosystem. Additionally, the group is developing native quantum algorithms. “It is at the seed stage, planning to become a leading quantum computer operating ecosystem aimed at optimisation problems in the coming years,” said Kamil Hendzel, describing the company's long-term aims. As VeloxQ 1 sets new performance benchmarks on conventional processors, Quantumz.io is poised to redefine computing and quantum-inspired algorithms.