The Rochester Quantum Network is using single photons to transmit data over fiber optic between RIT and the University of Rochester.    The significance?  RIT Professor Stefan Preble, Phd researcher Vijay Sundaram and U. of Rochester Professor Nick Vamivakas join Techstination's Fred Fishkin.

Techstination interview: Rochester Quantum Network enables quantum communications

Originally broadcast on The Dream Machine channel on www.intergalactic.fm on 2nd June 2024.

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This week, Bitdefender’s Adrian Coleșa and Transilvania Quantum’s Sorin Boloș join to discuss security vulnerabilities in quantum computing

0:00 – Tony is back!
3:30 – Adrian Coleșa, Senior Security Researcher at Bitdefender, and Sorin Boloș, quantum software engineer at Transilvania Quantum, join the podcast
8:00 – How the partnership between Bitdefender and Transilvania Quantum began 
12:00 – Research into QC as a potential target
14:00 – Why attack a QC 
19:30 – Who bears the onus
23:30 – Classical and QC vulnerabilities 
32:30 – What is a quantum antivirus

Episode 317: Bitdefender and Transilvania Quantum

The Rochester Quantum Network helps pioneer future communications.  Today's Techstination.

The Rochester Quantum Network helps pioneer future communications

On This Week in HPC, Addison Snell chats with the winners of the Hans Meuer Awards, Martin Schultz and Durganshu Mishra from Technical University Munich (TU-Munich). They go over their research and look forward to the upcoming ISC25. 

TWIHPC Episode 382 - Advancing the Integration of HPC and Quantum, Hans Meuer Award Winners Martin Schultz and Durganshu Mishra of Technical University Munich (TU-Munich)

Welcome back to "AI with Shaily" 🎥🤖, where Shailendra Kumar dives deep into the exciting world of artificial intelligence and its intersection with science and technology 🌐🔬. In this episode, Shaily explores a fascinating breakthrough in solving partial differential equations (PDEs) — a fundamental tool used to model natural phenomena like heat diffusion and fluid flow 🌡️🌊.

PDEs have long been challenging to solve, especially in high-dimensional spaces, because traditional methods are computationally intense and slow, like trying to find your way through a huge maze with just a flashlight 🕯️🌀. But now, quantum computing is stepping in as a powerful new navigator with a map that lights up the entire maze at once ✨🗺️.

A recent breakthrough by researchers at Shanghai Jiao Tong University and the Shanghai Artificial Intelligence Laboratory has introduced a quantum algorithm that tackles these high-dimensional PDEs by lifting them into even higher dimensions — a concept reminiscent of the movie "Inception" 🌀🎬. They use a technique called Schrödingerization-based quantum simulation, which drastically reduces the computational effort needed ⚛️💻.

This innovation is a game-changer because it opens doors for physicists and engineers to simulate complex systems that were previously too difficult to handle due to computational limits 🧑‍🔬⚙️. It’s like a heavy fog that once obscured the landscape of scientific computing is finally clearing, revealing new possibilities and frontiers to explore 🌫️➡️🌄.

Shaily reflects on his own early struggles with PDEs, likening them to cryptic puzzles locked behind walls of computational cost 🧩🔐. This new approach is a reminder that sometimes innovation means reimagining the problem itself, not just trying harder with old tools 🔄💡.

He offers a valuable tip for AI enthusiasts and problem-solvers: when facing tough computational challenges, consider transforming the problem by changing your perspective or moving it into a different dimension — metaphorically or literally. Quantum computing is doing exactly that on an unprecedented scale 🚀🔍.

Shaily concludes with a thoughtful quote: “The scientist discovers a new type of material or energy and the engineer builds it; the mathematician creates the language and ideas behind it.” Now, quantum algorithms are rewriting that language for PDEs, pushing the boundaries of what’s possible in science and AI 📜✍️🔬.

If you enjoyed this episode, Shaily encourages you to follow him on YouTube, Twitter, LinkedIn, and Medium for more insights, and to subscribe and share your thoughts or questions in the comments 💬👍. Until next time, stay curious and keep pushing the limits of AI and technology! 🚀🤓✨

Quantum Breakthrough: How Quantum Computing is Revolutionizing PDE Solutions

Welcome to "AI with Shaily" 🎙️, your weekly dose of the latest and most exciting news in artificial intelligence! I’m Shailendra Kumar, your host and guide through the fascinating and fast-changing world of AI innovations and their impact on our future 🌍🤖.

Today’s episode dives deep into diffusion models—those clever AI systems that have been making headlines not just for creating stunning images like OpenAI’s DALL-E 🎨, but for transforming fields like robotics, quantum computing, and design.

First up, at MIT’s CSAIL lab, researchers are using diffusion models to revolutionize robot design 🤖✨. Instead of just building robots by hand, they teach AI to tweak simple 3D robot models and simulate their movements—especially how they jump. The result? Robots that can leap up to 41% higher than those designed solely by humans! Imagine AI acting like a coach, fine-tuning a robot’s moves with creative problem-solving skills. This is next-level engineering that pushes the boundaries of what machines can do 🦘🚀.

Next, over at Penn State, innovators are applying diffusion models to the complex world of quantum computing 🧬💻. They’re automating the creation of quantum circuits—the fundamental components of quantum computers—making the process faster, more reliable, and scalable. Since quantum computing is often called the "final frontier" of computation, AI could be the rocket fuel that propels us into this new era much sooner than expected 🚀🔬.

Then, in the realm of design and architecture, Heatherwick Studio—a firm known for pushing creative limits—is using custom diffusion models to enhance their workflows 🏢🎨. These AI tools speed up rendering, image editing, and information retrieval within Building Information Modeling (BIM) software. The goal isn’t just efficiency; it’s about sparking fresh creative ideas and blending form with function more seamlessly than ever before 🏗️✨.

One of the most inspiring takeaways? AI isn’t here to replace human creativity or expertise—it’s here to augment and amplify it 💡🤝. Diffusion models act like creative partners, suggesting new possibilities, optimizing designs, and exploring ideas we might never have imagined. This reminds us that AI’s real power lies in enhancing our imagination, not just automating tasks.

Here’s a bonus tip for all you designers and engineers out there: try incorporating AI tools early in your creative process, not just at the end 🎯🛠️. Let these tools challenge your concepts and push your creativity in unexpected directions. That’s often where the magic happens ✨🔮.

Curious about how far AI can jump—literally—or how it can drive quantum leaps in technology? That excitement fuels my passion for sharing these stories every week.

As Einstein once said, “The true sign of intelligence is not knowledge but imagination.” AI-powered diffusion models embody this spirit every day 🌟🧠.

For more insights like these, follow me, Shailendra Kumar, on YouTube, Twitter, LinkedIn, and Medium. Join the conversation, share your thoughts, and subscribe so you never miss an episode 📲💬. I’d love to hear how you see AI transforming creative fields around you—drop your comments and let’s chat!

Until next time, keep imagining, keep experimenting, and keep listening to AI with Shaily 🎧🤖✨!

AI with Shaily: How Diffusion Models Are Revolutionizing Robotics, Quantum Computing, and Design

Fresh out of the studio, Doug Burger, Technical Fellow and Corporate Vice President at Microsoft Research, joins us to explore Microsoft's bold expansion into Southeast Asia with the recent launch of the Microsoft Research Asia lab in Singapore. From there, Doug shares his accidental journey from academia to leading global research operations, reflecting on how Microsoft Research's open collaboration model empowers over thousands of researchers worldwide to tackle humanity's biggest challenges. Addressing the intersection of three computing paradigms: logic, probability, and quantum, he emphasizes that geographic diversity in research labs enables Microsoft to build AI that works for everyone. Closing the conversation, Doug shares his vision of what great looks like for Microsoft Research with researchers driven by purpose and passion to create breakthroughs that advance both science and society.

"If you're going to be running a very elite research institution, you have to have the best people. To have the best people, you have to trust them and empower them. You can't hire a world expert in some area and then tell them what to do. They know more than you do. They're smarter than you are in their area. So you've got to trust your people. One of our really foundational commitments to our people is: we trust you. We're going to work to empower you. Go do the thing that you need to do. If somebody in the labs wants to spend 5, 10, 15 years working on something they think is really important, they're empowered to do that."

Episode Highlights:
[00:00] Quote of the Day by Doug Burger 
[01:08] Doug Burger's journey from academia to Microsoft Research
[03:07] Launch of Microsoft Research Asia in Singapore: Tapping local talent and culture for inclusive AI development
[04:13] Singapore lab focuses on foundational AI, embodied AI, and healthcare applications
[06:19] AI detecting seizures in children and assessing Parkinson's motor function
[08:24] Embedding Southeast Asian societal norms & values into Foundational AI research
[10:26] Microsoft Research's open collaboration model 
[12:42] Generative AI's rapid pace accelerating technological innovation and research tools
[16:24] Open versus closed source AI models debate and Microsoft's platform approach
[19:35] Multiple scaling dimensions in AI beyond traditional data scaling laws
[26:26] Balancing blue-sky foundational research with application-driven initiatives at scale
[35:26] Research leadership secret: Curiosity across fields enables unexpected connections
[40:04] Microsoft Research's vision: Becoming Bell Labs for AI era
[42:22] Steering AI models for mental health and critical thinking conversations

How Microsoft Research Balances Exploration and Impact Globally with Doug Burger

Welcome to "AI with Shaily," hosted by Shailendra Kumar, a passionate guide diving deep into the cutting-edge worlds of artificial intelligence and quantum computing 🤖⚛️. Shailendra creates a cozy, engaging atmosphere, like chatting with a friend in a café ☕️, where complex topics like quantum algorithms and hardware breakthroughs become accessible and exciting.

In this episode, Shailendra unpacks some mind-blowing quantum computing advancements expected by 2025. One highlight is the demonstration that simulating massive Gaussian bosonic circuits is BQP-complete—a technical way of saying these problems are virtually impossible for classical computers but easily handled by quantum machines 🖥️➡️⚛️. This milestone signals a provable quantum advantage in simulating optical networks, unlocking computational power classical systems can’t match.

He then explores innovations in quantum hardware optimization: shorter quantum circuits, smarter pulse sequences, and advanced error correction methods like dynamical decoupling 🛠️✨. These techniques help tame the historically high error rates that once crippled experiments, bringing exponential quantum speedups closer to practical reality.

Another fascinating topic is a minimalist quantum factorization algorithm using just one qubit and three oscillators 🎛️. Although currently energy-intensive, this approach opens new doors in continuous-variable quantum computing—a promising frontier for more efficient quantum algorithms. Researchers are actively refining oscillator parameters to reduce energy consumption, echoing Shailendra’s early coding experiences where brute force gave way to elegant, efficient solutions.

On the hardware front, Shailendra highlights breakthroughs from major players like Microsoft and Atom Computing, who are achieving entanglement of up to 24 logical qubits on neutral atom platforms 🧬, marking a significant step toward scalable, fault-tolerant quantum computers. Google’s Willow processor, with 105 qubits and error correction below threshold, exemplifies steady progress toward practical quantum devices.

The big picture? The quantum computing landscape in 2025 is a thrilling fusion of theoretical breakthroughs and practical hardware advancements 🚀. Provable quantum advantages, smarter error mitigation, novel algorithms, and scalable architectures are converging to push quantum tech from labs into real-world applications.

Shailendra leaves listeners with a bonus tip: keep an eye on error mitigation strategies like dynamical decoupling—they’re the unsung heroes enabling today’s exponential quantum speedups 🎯. Sometimes, building smarter quantum computers matters more than just building bigger ones.

He closes with a nod to Richard Feynman’s famous quote about the elusive nature of truly understanding quantum mechanics, reminding us why quantum computing continues to surprise and inspire 🤯.

For those hungry for more, Shailendra invites you to follow him on YouTube, Twitter, LinkedIn, and Medium for deep dives into AI and quantum tech. He encourages community engagement, asking listeners to share their thoughts and ideas on what quantum breakthrough might flip our computing world next 💬🌐.

Until next time, this is Shailendra Kumar signing off from "AI with Shaily"—where the future thinks quantum! 🌟

Quantum Computing 2025: From Provable Advantage to Practical Breakthroughs

Welcome to AI with Shaily! 🎙️ I’m Shailendra Kumar, your go-to guide for the latest and greatest in artificial intelligence and quantum computing. Today, we’re diving deep into some mind-blowing advancements in ion-based quantum computing, especially focusing on IonQ’s incredible progress that feels like science fiction but is very real and happening now! 🚀✨

IonQ has achieved over 99.9% fidelity in two-qubit gates using trapped barium ions. What does that mean? It means error rates have plummeted, which is a massive leap toward building scalable, enterprise-grade quantum machines. Imagine your quantum "dance moves" perfectly synchronized—this precision is a game changer! 💃🕺 Back when I started, gate fidelities of 90–95% were groundbreaking, so IonQ’s current precision is like upgrading from a shaky bicycle to a Ferrari on the quantum highway! 🏎️💨

But it’s not just about precision. IonQ tackled a complex protein-folding problem involving 36 qubits—the largest quantum simulation of its kind so far! 🧬 Imagine solving the mysteries of folding a 12-amino-acid protein with a quantum computer. This opens exciting doors in drug discovery and material science, potentially revolutionizing healthcare and environmental solutions. 🌿💊

Looking ahead, IonQ’s roadmap is ambitious and inspiring:
- By 2025: A 100-qubit prototype 🧮
- By 2027: Scaling to 10,000 qubits on a single chip using 2D ion-trap arrays, thanks to their Oxford Ionics acquisition 🔬
- By 2028: Reaching 20,000 physical qubits to run basic fault-tolerant algorithms ⚙️
- By 2030: Multi-module systems with up to 2 million physical qubits enabling breakthroughs in chemical catalysis design and solving optimization problems beyond classical computers’ reach 🔥

IonQ’s strategic acquisitions of Oxford Ionics and Lightsynq are turbocharging qubit density and photonic interconnect speeds—think upgrading from dial-up internet to blazing fiber optics for the quantum internet! 🌐⚡

Among competitors like Google’s 105-qubit Willow chip and IBM’s push beyond 1,000 qubits, IonQ’s ion-trap technology stands out for its impressive fidelity and promising roadmap toward fault tolerance. This is an exhilarating race toward the million-qubit milestone across various quantum tech platforms! 🏁

Here’s a pro tip for tech enthusiasts: when assessing quantum progress, don’t just focus on qubit count. Gate fidelity and connectivity are equally critical. High qubit numbers with low fidelity or poor connectivity won’t solve real-world problems effectively. IonQ’s all-to-all connectivity in ion traps is a powerful advantage! 🔗💡

Now, a question to ponder 🤔: If quantum computers can simulate complex biological processes like protein folding so soon, how do you think this will reshape the pharmaceutical industry in the next decade? Share your thoughts!

To wrap up, remember Nobel laureate Richard Feynman’s words: “If you want to find out anything from the theoretical physics point of view, you better make damn sure you understand quantum mechanics!” IonQ is helping us get there faster. ⚛️

Stay connected with me, Shailendra Kumar (aka Shaily), on YouTube, Twitter, LinkedIn, and Medium for more cutting-edge AI and quantum updates. Don’t forget to subscribe and drop your thoughts and questions—I love hearing from you! 🙌💬

Thanks for tuning in to AI with Shaily. Until next time, keep innovating and keep questioning! 🔍✨

Quantum Breakthroughs with IonQ: From Protein Folding to Million-Qubit Dreams

Techstination is a daily report on consumer tech produced by Fred Fishkin.  Listen to full interviews and daily reports here and find more at www.techstination.com

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