Quantum Cyber Meets With Representative McCormick on Defense Needs

Quantum Cyber engaged Representative Rich McCormick to discuss evolving homeland security needs and the potential of autonomous defense technology, indicating a focused effort to connect with key lawmakers. The company recently hosted a conference at Pentagon City with military stakeholders and officials from the Department of Defense, centering discussions on operational requirements for its System-of-Systems platform. These meetings, combined with ongoing efforts to secure a 3.2 million dollar manufacturing facility in Connecticut, reflect a strategy to align with anticipated federal defense spending. Quantum Cyber leadership stated in a letter to shareholders that these were substantive conversations and reflect growing recognition at the federal level that domestically manufactured, AI-powered autonomous platforms are central to the United States’ near-term defense and security posture, outlining a company building capabilities for a rapidly changing security landscape.

D.C. Engagement Advances AI-Powered Autonomous Defense Systems

Quantum Cyber is actively shaping U.S. defense through direct engagement with key figures in Washington, D.C., and a focused strategy to align its technology with evolving federal priorities. The level of interaction suggests a growing acceptance of domestically sourced, AI-driven defense solutions within the federal government. Quantum Cyber believes its trajectory aligns with anticipated shifts in defense spending and doctrine and is actively working to solidify those connections. This assessment is supported by the company’s ongoing efforts to establish a domestic manufacturing base, including a planned facility in Connecticut intended to support drone airframe assembly, 3D-printing drone production, and advanced filament manufacturing.

The Connecticut facility, encompassing approximately 43,000 square feet, is envisioned to house industrial manufacturing equipment such as CNC machining centers and metal fabrication tooling, allowing Quantum Cyber to deliver combat-ready autonomous systems at the scale that the Pentagon and government customers require. Financially, the company reports a strengthened position following the receipt of over 15 million dollars in warrant exercise proceeds in May and currently operates with a debt-free capital structure. These combined efforts, direct engagement with policymakers, focused product discussions with military officials, and a commitment to domestic manufacturing, position Quantum Cyber to capitalize on the anticipated growth in demand for advanced autonomous defense technologies.

We also held meetings with senior-ranked government officials across the fields of cyber security and homeland security.

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Ivy Delaney

Ivy Delaney has been working with neural networks and machine learning since the mid-nineties, back when a couple of hidden layers and a long afternoon of training counted as ambitious. She has watched the field go from academic curiosity to the thing quietly running underneath everything, and she brings that long view to quantum computing. For Quantum Zeitgeist she covers the ground where the two fields meet. That means quantum machine learning and the variational algorithms it leans on, and it also means the less glamorous but more interesting story of classical machine learning already doing real work inside quantum machines, decoding error-correcting codes, calibrating noisy hardware and learning the error models that simulators depend on. She writes about the hardware those algorithms have to run on too, and about the post-quantum cryptography scramble that the same hardware has set off. Her stories typically start with the paper, whether that is peer-reviewed work, conference proceedings or an arXiv preprint, with the source linked so you can hold a claim up against the research it came from. She is unimpressed by benchmarks that will not say what they beat, and by demonstrations that only work in the press release.

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