Pilot Episode Highlights of NVIDIA GTC 2025 | Morpheus Cyber Podcast

Welcome to the Morpheus Cyber Podcast. I am your host, Bill Alderson. Here, we plug into the future of tech and sift the signal from the noise. Today, we are unpacking a two-hour epic from GTC 2025—Quantum Day. NVIDIA’s Jensen Huang sat down with the top minds in quantum computing—think D-Wave, Microsoft, AWS, and more. CEOs, scientists, and trailblazers building machines that bend reality. Get ready. We will start with the basics, then blast off into ideas so wild they will fry your circuits. Alright, let’s kick things off with: Quantum Computing The Basics and Beyond What is quantum computing? It is a new way to process data, using the odd rules of quantum mechanics. Regular computers—like your phone or laptop—use bits. Bits are switches: zero or one. Quantum computers use qubits. Qubits can be zero, one, or both at once. That is called superposition. Add entanglement—where qubits sync up like magic twins—and you have a system that can handle tons of options at lightning speed. Picture flipping one coin versus spinning a million coins together. Now, here is the wild part. Qubits live in a fuzzy state until you check them. It is not just on or off—it is a dance of probabilities. At GTC, these leaders were not just tweaking calculators. They are forging tools to peek into quantum reality. Jensen Huang said it clear: “Quantum computing is not here to replace your PC. It is a scalpel, not a hammer—a precision tool for impossible problems.” Let’s dive into what they shared. Next, we will discuss: The State of the Quantum Game Where are we at? This panel was stacked—big names like Ben Bloom from Atom Computing, who said: “We have hit over a thousand qubits with neutral atoms—nature’s perfect quantum bits.” Microsoft’s Krista Svore dropped a bombshell: “One year ago, we had zero logical qubits better than physical ones. Now, we are at 28, targeting 50 this year.” Logical qubits are the champs—error-corrected and reliable. Alan Baratz from D-Wave flexed: “We ran a calculation on magnetic materials—a million years for a classical machine. Plus, we are testing quantum blockchain.” AWS’s Simone Severini and SEEQC’s John Levy leaned into superconducting tech. Levy noted: “We use three nano watts per qubit—linking up with GPUs easily.” The takeaway? Progress is speeding up, and milestones are piling on. But they are not all on the same page. Some use neutral atoms, others trapped ions or superconducting circuits. Microsoft’s betting on topological qubits. They all agree: error correction is the key. Without it, qubits are too glitchy to shine. Moving on, let’s talk about: Where We’re Headed The Quantum Horizon So, what’s next? They see a journey, not a sudden flip. Théau Peronnin from Alice and Bob predicted: “By 2030, you will feel the exponential power spike—logical qubits soaring.” Rajeeb Hazra from Quantinuum added: “Next year, AI agents will team up with quantum for real wins.” Think drug breakthroughs, new materials, or climate fixes—stuff classical tech can’t touch. Pete Shadbolt from PsiQuantum cautioned: “We need a hundred thousand times more scale. It takes industrial grit.” He’s got Global Foundries pumping out quantum chips. Loic Henriet from Pasqal and Matthew Kinsella from Infleqtion push neutral atoms into real-world gear. Kinsella said: “We made thirty million bucks last year on clocks and sensors—our low-bar win to fund computing.” The vibe? It is not about replacing your rig. Mikhail Lukin from QuEra put it sharp: “Quantum is a new scientific tool—a scalpel to cut into unseen corners of the universe.” Expect surprises along the ride. Now, let’s explore: Quantum Meets AI The Ultimate Tag Team Here’s the hot stuff: quantum and AI. Forget quantum running spreadsheets—this is about juicing up AI models. Huang laid it out: “Quantum can give us ground truth for biology or physics, then train an AI to go nuts.” Krista Svore agreed: “It is not replacing AI—it is boosting it with data you can’t get elsewhere.” Rajeeb Hazra upped the game: “We call it Gen Q AI—quantum feeding large language models with molecular smarts.” Peter Chapman from IonQ showed proof: “We boosted LS-DYNA by twelve percent and a chemistry app by twenty times—with just thirty-six qubits.” At sixty-four qubits, that is a two hundred sixty million times jump. Subodh Kulkarni from Quantum Circuits said: “Next year, we will prove quantum in data centers—less doubt, more demos.” The vision? Quantum AI factories. Simone Severini mused: “Humans and machines doing science together—quantum fits right in.” It is not just speed—it is a new way to think and build. Finally, let’s wrap up with: The Big Takeaways and What’s Next What did we learn? Quantum is not here to game—it is here to crack the impossible. It teams up with classical powerhouses like NVIDIA’s GPUs, handling the weird while QPUs tackle the wild. The field is blooming—different paths, one goal: scale up, clean up, find the killer use. Next year, they promise demos—error correction from Bloom, AI-quantum combos from Hazra, real-world wins from Henriet. Huang’s hosting again, and I bet it will be less soul-searching, more celebrating. But Shadbolt warned: “A weak quantum box plus a killer GPU won’t cut it—the combo has to rock.” That’s our quantum rundown. From qubits to cosmic leaps, these minds are rewriting the code of reality. What do you think? Will quantum and AI spark the next big shift, or are we still decades out? Packets are the fundamental method for communications. Unlike logs, code, memory, files or escalation of privileges they can't be deleted, stop a packet and you've stopped an attack. DPU's will soon aquire all packets which AI enabled GPU's will examine for exploits and switch enabled DPU's will use access control lists to stop attacks in miliseconds. Hit me up on X—I am at Packetman double O seven. Let’s keep the chat alive. This is Bill Alderson signing off from Morpheus Cyber Podcast. Stay sharp, stay plugged in, and keep dreaming in bits and Qubits!