BEYONDx Unveils the Future of Quantum-AI: Moving Beyond GPUs to Real-Time Intelligence

FOR IMMEDIATE RELEASE

DURANGO, COLO. – March 20, 2025 – The world is waking up to a new era of AI, where intelligence isn’t just about speed but about thinking, adapting, and solving problems in real time.

"At BEYONDx, we’ve always believed that the future of AI isn’t about bigger, faster GPUs. We believe that it’s about creating truly autonomous Quantum-AI systems that work in the real world," said Jay Shears, CEO of BEYONDx Advisors, LLC.

“For years, AI has been trapped in data centers, requiring massive computing power to make decisions. But real intelligence, the kind that transforms industries, secures critical infrastructure, and powers autonomous systems, doesn’t belong in a box, locked away in a server farm. It needs to be fluid, dynamic, and accessible anywhere, at any time. That’s exactly what we’re building” said Shears.

A Quantum Leap Forward - From Traditional AI to Quantum-AI

Most AI-Quantum efforts today are operating between 60-80 qubits, but industry leaders, including IBM and Google, recognize 100 qubits as the threshold where quantum computers begin to outperform classical methods in practical applications. This is the moment where “AI-Quantum” enters the real world and becomes “Quantum-AI”; which is a fundamental shift in how AI, Quantum, and compute work together.

This fundamental shift is a (r)evolution in how AI, quantum, and classical computing come together. They're no longer separate tools. They're becoming one intelligent, seamless platform; able to learn, adapt, and make decisions in real time.

More importantly, this changes everything. It’s no longer just evolution. It’s a (r)evolution and redefinition of the market itself, forming three new clear frontiers, as follows:

1. Traditional AI (<60 Qubits)

  • This is where most AI models exist today. The AI models in this segment are built and optimized within classical compute architectures, such as CPUs, GPUs, and TPUs. These models excel at pattern recognition, prediction, and automation but are inherently limited in scalability and responsiveness, particularly in environments requiring real-time adaptation and autonomy.

2. ‘AI’-Quantum (60–80 Qubits)

  • Hybrid systems in this range represent the early experimentation phase; fusing classical AI with emerging quantum processors. While these systems offer a glimpse into quantum acceleration, they remain constrained by hardware instability, error rates, and limited depth, that often require substantial classical assistance to be functional. They are transitional, not transformational.

3. ‘Quantum’-AI (100+ Qubits)

  • This is the next frontier; where AI becomes fundamentally reshaped by quantum intelligence. At 100+ qubits, we unlock the potential for real-time, autonomous, and scalable AI, powered by quantum-enhanced algorithms capable of tackling problems far beyond the reach of traditional models.

What This Means for the Future

"The transition from traditional AI computing to AI-Quantum at 60-80 qubits, and eventually to Quantum-AI beyond 100 qubits, will segment the industry into those capable of enabling real-time intelligence in ways previously thought impossible and those that cannot," said Shears.

"Today’s AI models rely on massive, centralized data centers, requiring enormous computational resources to process, learn, and infer from vast datasets. But this approach fundamentally limits AI’s ability to act autonomously in real-world environments," he continued.

Quantum computing promises to break these limitations. However, current quantum hardware remains fragile, error-prone, and far from scalable. The industry consensus is that practical AI-Quantum applications demand at least 100 qubits to begin outperforming classical models, yet today’s leading quantum processors are still in the experimental phase.

At BEYONDx, we’re not waiting for hardware to catch up. Our ‘patent-pending’ tensor factorization technology for these Hybrid Environments will realize the computational ‘Quantum-AI’ scale of 100+ Qubits, using software rather than quantum processors. This breakthrough redefines ‘AI-Quantum’s’ role in enterprise applications, allowing industries to benefit from ‘Quantum-AI’ -powered intelligence, without being tied to costly, power-hungry supercomputers or next-generation QPUs that may take years to reach viability.

Key Advantages of ‘Quantum-AI’ at Scale

  • Quantum-AI at the Edge - Intelligence where it’s needed, not locked away in a data center. Instead of requiring centralized high-performance computing clusters, BEYONDx enables distributed AI-Quantum intelligence that runs on-premises, at the edge, or even in autonomous systems.

  • Quantum-Accelerated Security - AI that secures industries against post-quantum cyber threats. As quantum computing advances, it poses a serious threat to traditional encryption methods. BEYONDx’s quaiXsentinel™ is being developed to integrate quantum-resistant security layers, ensuring future-proof cybersecurity for enterprise, defense, and critical infrastructure applications.

  • AI-Quantum Swarm Intelligence - Systems that collaborate and optimize in real-time. Unlike traditional AI models that require centralized data aggregation, BEYONDx’s quaiXtensor™ enables distributed AI-Quantum agents to work autonomously, adaptively, and cooperatively, whether it’s optimizing global supply chains, managing fleets of unmanned autonomous vehicles, or orchestrating real-time industrial automation.

  • AI that lives in the world - A new era where Quantum-AI is an active, intelligent force. Classical AI follows predefined models and rules, while AI-Quantum introduces self-evolving intelligence that adapts in real time. BEYONDx’s approach allows AI-Quantum systems to learn dynamically, anticipate disruptions, and autonomously optimize processes, paving the way for truly autonomous Quantum-AI that moves beyond prediction into real-time decision-making.

A Future Without Limits

We’re at a moment in time where AI is about to break free from hardware constraints, from traditional compute models, and from the limits of what we thought was possible. At BEYONDx, we’re not waiting for the future. We’re building it, because real intelligence doesn’t just live in a machine. It lives in the world.

For more information on BEYONDx’s Quantum-AI technology, visit https://www.beyondxadvisors.com/ or contact jay.shears@beyondxadvisors.com

Jay Shears

With a career spanning technopreneur roles with global technology leaders like GE Digital, Samsung, Sony and Honeywell Aerospace; Jay Shears has been driving commercialization at the intersection of technology readiness and business strategy successfully for decades.

Jay has several early IoT patents on the capturing of data from wearable wireless sensors and has led digital transformation initiatives that have digitally transformed aircraft maintenance, transportation and airports globally. HIs mission as an advisor at BEYONDx is to empower organizations to unlock bold ideas, integrate innovation, and Illuminate new profitable, scalable and sustainable opportunities.

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