Miami, Florida – May 18, 2026 – While the world of artificial intelligence often celebrates large datasets and brute-force processing power, a Miami-based company is taking a different path, one paved by half a century of fundamental mathematics. At the center of this strategy is Dr. Fred Glover, a prominent figure in the optimization world who was just ranked 30th best math scientist in the world by Research.com. His realization highlights a quieter, more profound revolution taking place at Entanglement. There, mathematical theories that have been dormant for decades are being reinvigorated to solve some of the most complex problems on the planet.
Dr. Glover’s latest honor is no small feat. Research.com’s fifth annual rankings, a rigorous academic evaluation, ranked it 22nd in the United States based on a field-specific D-index of 104, reflecting 507 publications and more than 68,500 citations. This makes him one of the most influential mathematicians of his generation. But for Entanglement, a next-generation quantum AI company, these numbers are more than just a testament to the work of its principal researchers. They are the basis of their entire technology philosophy.
“Fred’s recognition by Research.com is very well-deserved and celebrates a truly remarkable career. It also highlights the depth behind Entanglement’s work. He is proactive about tackling big challenges, challenges that, if solved, will make life better for all of us,” said Jason Turner, Chairman and CEO of Entanglement.
Fundamental legacy in optimization
To understand Entanglement’s unique approach, you must first understand Dr. Glover’s monumental contributions. Long before “AI” became a household term, he was pioneering the very methods that enable complex systems to find the best possible solutions. He is widely known as the inventor of taboo search. Tabu search is a sophisticated search method that intelligently navigates vast problem spaces to avoid getting stuck in suboptimal solutions. He also coined the term “metaheuristics” in 1986 to define a new class of high-level algorithms that guide other optimization heuristics.
His foundational 1977 paper, “Heuristics for Integer Programming with Surrogate Constraints,” introduced groundbreaking concepts such as scatter search and strategic oscillation. These were not just abstract theories. These were powerful tools for solving real-world puzzles in logistics, finance, telecommunications, and energy. The only problem was that in the 1970s and 80s, the hardware didn’t exist to live up to its potential.
His work has earned him the highest honors in his field, including the INFORMS John von Neumann Theory Prize and election to the prestigious National Academy of Engineering. Now, he brings his deep intellectual heritage to Entanglement as Professor Emeritus at the University of Colorado Boulder.
The revival of half a century of genius
This is where Entanglement’s strategy diverges from the mainstream. Rather than simply chasing bigger models and more data, the company is on a mission to systematically digitize and operationalize more than 50 years of theoretical mathematics. Much of it is due to Dr. Glover and his contemporaries. Once confined to academic journals and limited by the primitive chip architectures of the time, these techniques have now been re-architected for modern quantum and quantum-classical hybrid hardware, GPU acceleration infrastructures, and new computing substrates.
The company calls it “a revitalization of half a century of mathematical discovery.” The central idea is that many of the most difficult computational problems that still bog down brute-force AI systems today have hidden theoretical solutions. By combining these elegant and efficient algorithms with the explosive power of modern computing, Entanglement unlocks capabilities that were previously purely theoretical. This approach is embodied in the company’s flagship product, Quantum Logic Core™.
Quantum Logic Core™: Beyond brute force AI
Quantum Logic Core™ (QLC) is a hardware-agnostic, cloud-deployable optimization engine designed to provide “exact computation” for civilization-scale problems. Unlike many AI systems that rely on approximations, QLC is built to find accurate and verifiable answers to complex combinatorial, scheduling, and resource allocation challenges. We fuse quantum logic-based optimization with machine learning and deep learning to create powerful hybrid systems that are “quantum-ready” and highly efficient in today’s silicon.
The performance claims are surprising. In one simulation, Entanglement modeled the national allocation of personal protective equipment (PPE) during a pandemic. QLC solved the problem in just 29 seconds on a single chip, achieving 90% higher allocation efficiency than supercomputers that took up to 14 hours to perform the same task.
This is not just a laboratory experiment. This technology has been field tested. SeQure, Inc., a spinout from Entanglement, commercializes the company’s cybersecurity capabilities. Its ground truth detection service has been validated by the U.S. Army to be 1000 times faster and more accurate than existing systems at identifying unknown network threats in real time.
From theory to planetary scale solutions
Entanglement’s ultimate goal is to apply a powerful combination of legacy mathematics and modern hardware to the world’s most important challenges. Through its Venture Yield Platform, the company is building a portfolio of operating companies that target highly influential industries.
Beyond SeQure’s efforts in the cybersecurity space, the company has launched Maritech Intelligence Systems, which provides sovereign-grade maritime domain awareness. Other initiatives include Prepaire™, a biosurveillance platform for real-time, global detection of pathogens; Quantum Almanac, an algorithm to predict water availability and fire risk. Hyper Intelligence is a system aimed at increasing the efficiency of the AI infrastructure itself by up to 30%.
This research brings Dr. Glover’s career full circle, applying the theoretical framework he developed decades ago to today’s most pressing problems.
“This recognition is very meaningful because it reflects the work of many outstanding collaborators, students, and colleagues over the years,” said Dr. Glover. “What excites me most are the opportunities ahead. As optimization, artificial intelligence, and quantum-related techniques continue to converge, we are now able to address problems that once seemed impractical. At Entanglement, we are applying that work to places where we can make meaningful change today, including cybersecurity, human health, environmental resilience, marine science, and the efficiency of AI.”
By revisiting the fundamental principles of mathematics, entanglement and its legendary lead scientist are charting a new, more efficient and potentially more powerful direction for the future of artificial intelligence.
