Quantum Computing 101

Inception Point Ai
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  • TECHNOLOGY
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This is your Quantum Computing 101 podcast. Quantum Computing 101 is your daily dose of the latest breakthroughs in the fascinating world of quantum research. This podcast dives deep into fundamental quantum computing concepts, comparing classical and quantum approaches to solve complex problems. Each episode offers clear explanations of key topics such as qubits, superposition, and entanglement, all tied to current events making headlines. Whether you're a seasoned enthusiast or new to the field, Quantum Computing 101 keeps you informed and engaged with the rapidly evolving quantum landscape. Tune in daily to stay at the forefront of quantum innovation! For more info go to https://www.quietplease.ai Check out these deals https://amzn.to/48MZPjs

  1. 16H AGO

    Quantum-Classical Hybrids: Unlocking Hidden Patterns in Chaos | Quantum Computing 101 with Leo

    This is your Quantum Computing 101 podcast. Lightning cracked across the Tennessee sky just as the news broke at the 2025 Quantum World Congress—EPB Quantum was integrating hybrid computing at their Chattanooga center, merging blazing-fast NVIDIA DGX classical systems with the freshly commissioned IonQ Forte Quantum Computer and Oak Ridge National Laboratory’s quantum expertise. I’m Leo, your guide through these quantum frontiers, and today, our journey is about the new quantum-classical hybrids taking shape this week. The future I often see reflected in chance encounters and the swirl of city traffic has arrived, incarnated in humming server rooms and supercooled qubit chambers. What makes hybrid quantum-classical systems so revolutionary? Imagine the world’s most intricate scavenger hunt—one path is mapped, orderly, and fast but only reveals the obvious prizes. The other path is fogged in uncertainty, shifting like heat haze, but occasionally shortcuts you to hidden treasures. That ordinary path is classical computing—deterministic, relentless, but limited when we need to wrangle chaos: like simulating black swan events or decoding patterns in oceans of noise. This week, HSBC and IBM published results that may just redefine financial trading. They pioneered a hybrid solution for algorithmic bond markets, leveraging IBM’s Heron quantum processor alongside classical models to predict which bond trades would close. Corporate bonds don’t trade like stocks; they live in the shadows—dense, bilateral deals with thousands of variables. Even top-tier classical algorithms stumble at making sense of market volatility or subtle buyer behaviors. HSBC’s quantum-classical pipeline uncovered pricing signals invisible to standard analysis, boosting trade prediction accuracy by up to 34 percent. Imagine Wall Street acting not just on heartbeats of the market, but on quantum whispers threading through its chaos. Step into the EPB Quantum Center and you’ll find racks of quantum processors, lasers mapping entangled states, and, feet away, classical hardware crunching and steering the workflow, orchestrating what goes to quantum and what returns for classical refinement. When the quantum circuit is nudged toward the answer, the classical side tests, cleans, and integrates the results into broader business operations. Technically, the power of these hybrids lies in their division of labor. Quantum machines handle combinatorial explosions—tackling optimization, machine learning, or secure encryption—while classical systems manage vast databases, perform repetitive tasks, and deploy results at scale. A symbiosis; neither replaces the other, but together, they solve problems once declared intractable. As we close, remember: today’s most compelling quantum-classical hybrid isn’t just faster—it’s teaching us to see the world in richer shades, revealing truth in complexity. Don’t hesitate to email me, Leo, at leo@inceptionpoint.ai if you have questions or want to suggest topics. Subscribe to Quantum Computing 101, and know that this has been a Quiet Please Production. For more, check out quiet please dot AI. Until next time, keep looking for quantum clues in your everyday world. For more http://www.quietplease.ai Get the best deals https://amzn.to/3ODvOta This content was created in partnership and with the help of Artificial Intelligence AI

    4 min

  2. 2D AGO

    Quantum-Classical Fusion: Harnessing the Best of Both Worlds in Supercomputing

    This is your Quantum Computing 101 podcast. Thunder crackles in the world of high-performance computing—not from storm clouds, but from the hum of cryogenic compressors and racks of blinking lights at places like the Leibniz Supercomputing Centre and Oak Ridge National Laboratory. I’m Leo, your navigator through the peculiar terrain where quantum mechanics collides with digital logic, and today's story centers on the most thrilling frontier to date: the quantum-classical hybrid solution. Forget science fiction—just this week, Europe’s Jülich Supercomputing Center powered up a D-Wave Advantage 5000+ system and linked it directly to Jupiter, the continent’s first exascale supercomputer. This is more than a marriage of convenience; it's a calculated partnership, like pairing a chess grandmaster with a supercomputer for the world’s toughest match. Each brings their own magic—quantum systems tackle exponentially hard problems, while classical systems organize, sequence, and interpret, trading off strengths with graceful coordination. Step with me into the chilled, humming quantum enclosure at Leibniz. Here, a 20-qubit superconducting processor doesn’t just stand alone; it’s been woven into the sprawling digital tapestry of a high-performance supercomputing center. Imagine the air, cool and dry from relentless climate regulation. You’d see cables as thick as a wrist, soldered to gold-plated pins—each one acting as a shimmering lifeline for fragile qubits fighting against the chaos of the classical world. Quantum computers are fickle, much like the financial markets or even the weather lately—a fact not lost on the Munich team orchestrating these integrations. They learned that regular recalibration is indispensable. Here’s where the drama kicks in: imagine a symphony where every instrument must retune itself mid-performance, triggered by an invisible conductor—the HPC scheduler—so the quantum orchestra stays perfectly in resonance with its classical partners. The software bridge is just as remarkable. The Munich Quantum Software Stack parses incoming jobs, effortlessly routing code to either a quantum chip or a classical core, no user intervention required. Mid-experiment, it pivots, adapting in real time based on qubit stability, much as emergency managers route power during a grid surge—yet another parallel with today's climate-adaptive infrastructure initiatives in Europe. At Oak Ridge, the narrative echoes: classical and quantum CPUs and GPUs are clustered side-by-side. Quantum Brilliance, an Australian company, coordinates training neural networks where classical machines handle the brute force and quantum processors turn chaos into possibility, especially in optimization and machine learning. All this reflects a wider shift underway: quantum advantage doesn’t always mean faster, but often means smarter, more energy-efficient, and more adaptive—qualities desperately needed as our energy grids and information networks face unprecedented stress. Thank you for tuning in. If questions spark or you’re burning to have a topic unpacked, send word to leo@inceptionpoint.ai. Don’t forget to subscribe to Quantum Computing 101. This has been a Quiet Please Production. For more, visit quiet please dot AI. Until next time—stay superposed. For more http://www.quietplease.ai Get the best deals https://amzn.to/3ODvOta This content was created in partnership and with the help of Artificial Intelligence AI

    3 min

  3. 4D AGO

    Quantum-Classical Fusion: NVIDIA DGX Quantum Ignites Europe's Qubit Quest

    This is your Quantum Computing 101 podcast. Every so often, the quantum world hands us a headline that pulses like a live wire through the circuits of both science and society. Today, as I step into the hum of my lab, the ambient chill of the dilution refrigerator and its whisper of circulating helium reminds me: we’re sitting at the crossroads of a remarkable integration. Last week, Jülich Supercomputing Centre in Germany vaulted Europe onto the global stage by deploying the NVIDIA DGX Quantum System alongside Arque’s 5-qubit processor. For me, Leo, it’s a paradigm shift—like watching a long-awaited merger of physics with possibility. The most compelling quantum-classical hybrid solution revealed this month is this DGX Quantum deployment. It’s not merely co-locating quantum and classical systems, but binding them into a symbiotic accelerator. Imagine wisps of quantum probability amplified by the brute force of GPU-powered neural networks—all with microsecond feedback between classical control and quantum qubit operations. These aren’t abstract promises; researchers are now benchmarking quantum error correction and calibrating qubits in real time, something that eluded us even a year ago. Think of it as an orchestra tuning with split-second precision, preventing decoherence—the gradual fading of quantum magic—so algorithms can run longer, deeper, richer. What sets this hybrid apart? The system’s analog feedback mechanisms align the frantic pace of classical AI models with the delicate timescale of quantum spin qubits. As Prof. Kristel Michielsen noted on site, quantum operations now slip seamlessly into the high-performance computing workflow. Neural networks—once digital dreamers—are being trained directly on the data streaming out of quantum experiments. The effect is electric: tasks like adaptive calibration and decoding optimization occur at previously impossible speeds. This week, I watched data from a live experiment flow into machine learning models, powering swift recalibration of qubits. The energy in the control room is nearly palpable—a hybrid heartbeat syncs between GPU racks and quantum controllers. It echoes today’s current affairs, where Oracle’s leap in AI cloud infrastructure and OpenAI’s $300 billion deal twist classical computing into dizzying new shapes. In the quantum domain, we’re doing something similar: not just adding quantum capabilities to supercomputers, but braiding them, allowing each technology to amplify the other’s strengths. Our narrative arc isn’t finished. EPB Quantum Center in Tennessee is now pairing classical AI with IonQ’s quantum computer, collaborating with Oak Ridge National Lab and NVIDIA to optimize U.S. power grids. Quantum algorithms balance electrical loads; classical engines crunch raw numbers. The grid itself becomes a metaphor—a network optimizing itself with quantum-classical pulses. So as the world spins ever faster, I’ll keep searching for those quantum echoes in everyday life. If you have burning questions or want a topic featured on air, I invite you to email me at leo@inceptionpoint.ai. Remember to subscribe to Quantum Computing 101—this has been a Quiet Please Production, and for more information check out quietplease.ai. Thank you for tuning in, and may your day be superposed with possibility. For more http://www.quietplease.ai Get the best deals https://amzn.to/3ODvOta This content was created in partnership and with the help of Artificial Intelligence AI

    5 min

  4. SEP 19

    Quantum-Classical Hybrid Grids: Chattanooga's Power Play

    This is your Quantum Computing 101 podcast. It’s Friday, September 19, 2025, and today’s spotlight—a story that electrifies the quantum-classical dialogue—is shining out from Chattanooga, Tennessee. EPB Quantum, in collaboration with Oak Ridge National Laboratory, NVIDIA, and IonQ, has just unveiled a quantum-classical hybrid system designed to tackle one of the era’s defining challenges: optimizing our electrical power grids. For me, Leo—the Learning Enhanced Operator—this is the sort of moment where you can practically feel the room pulse with excitement, like the hum of qubits in deep cryogenic silence. Here’s the scene: In the EPB Quantum Center, racks of shimmering classical servers (NVIDIA’s DGX supercomputing system) sit alongside the newest quantum hardware from IonQ. Imagine walking between these towers, each vibrantly chilled to host delicate quantum states. The team is harnessing quantum-inspired algorithms and hybrid workflows to minimize losses and tame voltage drops across the city’s grid. These are not just abstract calculations—they’re the lifeblood of every appliance, every light, every byte flowing through Chattanooga today. Hybrid quantum-classical solutions are revolutionizing how we solve complex optimization problems. In this power grid experiment, the quantum side—IonQ’s device—searches vast solution landscapes using phenomena like superposition and entanglement, while the classical side—NVIDIA’s AI engines—handles data intake and brute-force number crunching. It’s a dance, each step dictated by the strengths of its partner. Quantum subroutines quickly explore multiple pathways simultaneously, guided by the classical processor’s feedback, much like a meteorologist analyzing millions of weather patterns before predicting the next storm. Let’s get technical for a moment. The algorithms employed—such as Quantum Approximate Optimization (QAOA) and hybrid-enhanced quantum jumping—use quantum circuits to escape the limits of simulated annealing, a classical optimization technique. Quantum processors apply shallow circuits, “jumping” between energy basins in the famous Ising model, which classical systems can only traverse step by step. In recent experiments, the quantum-enhanced jumping algorithm outperformed even the most refined classical heuristics, solving problems that would otherwise take ages. This isn’t just about speed; it’s about wisdom—using each system where it excels. Classical structures are built for reliability and scale, while quantum machines peer into the probabilistic heart of nature itself. Today’s grid optimization is the perfect metaphor for hybrid solutions: just as cities balance power across neighborhoods, quantum-classical workflows balance creativity and precision, energy and calculation. I’m struck by how decisions here echo those happening across the quantum tech landscape. Munich’s Quantum Software Stack, the new silicon CMOS quantum computer at the UK’s NQCC, and even recent advances in Japan with W-state entanglement—each is a thread in our growing quantum tapestry, weaving together hardware innovation, software orchestration, and the indelible human urge to solve what’s unsolvable. Thank you for joining me, Leo, here on Quantum Computing 101. If you’ve got questions or want to hear more on a particular topic, just send an email to leo@inceptionpoint.ai. Don’t forget to subscribe so you never miss a breakthrough. This has been a Quiet Please Production. For more information, check out quietplease.ai. Until next time: may your states be entangled, and your algorithms ever optimal. For more http://www.quietplease.ai Get the best deals https://amzn.to/3ODvOta This content was created in partnership and with the help of Artificial Intelligence AI

    4 min

  5. SEP 17

    Quantum Motion's Silicon Leap: Unveiling the Hybrid Computing Revolution

    This is your Quantum Computing 101 podcast. Just two days ago, Quantum Motion delivered something extraordinary to the UK National Quantum Computing Centre - the industry's first full-stack quantum computer built using standard silicon CMOS chip fabrication. As Leo, your quantum guide, I'm fascinated by what this represents for our hybrid computing future. Picture this: three nineteen-inch server racks housing a dilution refrigerator colder than outer space, containing silicon qubits manufactured using the same process that creates your smartphone chip. What Quantum Motion achieved isn't just technical prowess - it's a glimpse into how quantum-classical hybrid systems will revolutionize computation. The genius lies in the architecture. Their Quantum Processing Unit integrates seamlessly with industry-standard software frameworks like Qiskit and Cirq, creating a bridge between quantum and classical worlds. CEO James Palles-Dimmock called it quantum computing's silicon moment, and he's absolutely right. This isn't some exotic laboratory curiosity requiring specialized infrastructure - it's designed to fit into existing data centers. But here's where it gets truly exciting. Los Alamos National Laboratory just demonstrated quantum computers solving century-old mathematical puzzles involving group representations - problems that stumped our greatest supercomputers. Martín Larocca and his IBM colleague showed quantum algorithms can factorize these complex mathematical structures used everywhere from particle physics to engineering. This convergence tells a compelling story. We're witnessing the emergence of hybrid workflows where classical processors handle routine computations while quantum processors tackle the impossible. Think of plasma behavior modeling for fusion energy - classical computers manage the data flow while quantum systems model the chaotic plasma dynamics with unprecedented precision. The National Energy Research Scientific Computing Center suggests half of current HPC workloads at government research labs could benefit from early fault-tolerant quantum computing within five years. We're not replacing classical computers - we're creating computational symphonies where each processor type plays its perfect part. What excites me most is the scalability promise. Quantum Motion's tile architecture can theoretically scale to millions of qubits, while their AI-powered machine learning enables automated tuning and calibration. Combined with classical systems, we're building computational ecosystems that adapt and optimize themselves. The quantum workforce shortage remains real, but institutions worldwide are investing billions in quantum-ready infrastructure. Companies like IBM and AMD are developing quantum-centric supercomputing, treating quantum processing units as specialized accelerators within classical frameworks. This hybrid approach solves quantum computing's greatest challenge - practical utility. Instead of waiting for fault-tolerant quantum computers to replace everything, we're creating powerful partnerships between quantum and classical systems today. Thank you for joining me on this quantum journey. If you have questions or topics you'd like discussed, email me at leo@inceptionpoint.ai. Remember to subscribe to Quantum Computing 101. This has been a Quiet Please Production - for more information, check out quietplease.ai. For more http://www.quietplease.ai Get the best deals https://amzn.to/3ODvOta This content was created in partnership and with the help of Artificial Intelligence AI

    4 min

  6. SEP 15

    Quantum-Classical Fusion: Pioneering Hybrid Computing's New Frontier

    This is your Quantum Computing 101 podcast. Fifteen years ago, I stood inside a server room in London and watched heat shimmer off racks of classical supercomputers. Today, that same city feels transformed—a frontier where quantum and classical approaches truly converge. Just days ago, Quantum Motion installed the world’s first full-stack silicon CMOS quantum computer at the UK’s National Quantum Computing Centre. Picture it: racks humming in a data centre, but this time cooled to near absolute zero, hosting quantum processors alongside classical control circuits. For a quantum specialist like myself, it's not just a technological milestone—it’s a paradigm shift. Let’s dive into what’s making headlines today: quantum-classical hybrid solutions. If you squint, you’ll see the first glimmers of future utility-scale quantum computing in Quantum Motion’s tile-based architecture. It’s like laying mosaic tiles—each one a dense cluster of qubits, control units, and readout circuitry—so you can scale relentlessly, paving the path towards millions of qubits per chip. They use the same silicon wafer technology as conventional microprocessors, making quantum hardware as manufacturable as the phone chips in your pocket. The modular racks allow seamless upgrades—true plug-and-play extensibility. The classical side isn’t left behind; AI-driven calibration, machine-learning tuning, and user interfaces fluent in Qiskit or Cirq mean both quantum and classical elements continually optimize one another, automating what would otherwise be exhausting trial and error. Zoom out, and you’ll see this hybrid approach isn’t unique. D-Wave’s hybrid quantum systems, showcased this week at Seicon Taiwan and Fintech Nation 25, are solving logistics and finance puzzles that stump pure classical methods. Instead of waiting for perfect fault-tolerant quantum hardware, they combine quantum processing’s ability to rapidly explore complex solution spaces with classical hardware’s reliability, bridging the gap to practical utility right now. The result? Large-scale optimizations—supply chains, risk models—solved in minutes, not months. These breakthroughs don’t just happen in a vacuum. The fusion of classical scalability and quantum parallelism represents a new era. This week, Google’s quantum AI demonstrated quantum processors as laboratories for exploring phases of matter that remain invisible to classical simulation. Imagine quantum matter as a wild thunderstorm; classical computers grasp only the lightning strikes, while quantum systems trace the entire cloud formation, every elusive swirl. Back on the ground, I see quantum principles everywhere. Just as global events now demand cooperation—climate science, AI safety—the true power lies in hybrid collaborations. Quantum-classical synergy is about combining strengths: quantum innovation as the bold explorer, classical computing as the seasoned guide. Thank you for joining me on Quantum Computing 101. If you have questions or topics you want explored on air, I’d love to hear from you: just email leo@inceptionpoint.ai. Don’t forget to subscribe, and remember, this has been a Quiet Please Production—for more, visit quietplease.ai. For more http://www.quietplease.ai Get the best deals https://amzn.to/3ODvOta This content was created in partnership and with the help of Artificial Intelligence AI

    4 min

  7. SEP 14

    Quantum-Classical Hybrids: Unleashing Real-World Impact in 2025

    This is your Quantum Computing 101 podcast. I’m Leo, your Learning Enhanced Operator, tuning in from the quantum edge on this remarkable Sunday. As the world’s markets quiver with uncertainty and everyone’s chasing the next AI leap, I’m here to tell you: the true transformation isn’t coming—it’s already underway, humming beneath the surface in the form of quantum-classical hybrids. This week, D-Wave, IBM, and cloud providers like AWS and Azure all made headlines—each unveiling serious advancements in hybrid quantum-classical workflows, confirming that in 2025, the promise is now. Take D-Wave’s showcase at the Quantum World Congress just days ago. They didn’t just demonstrate quantum theory, they delivered usable results—combining quantum annealers and classical solvers to optimize logistics and financial risk analysis in real-time. Imagine trying to coordinate thousands of delivery trucks nationwide during a hurricane. Pure classical code buckles under such massive combinatorial chaos, but a hybrid system—where classical computers handle data integration and route mapping, while quantum processors instantly evaluate staggeringly complex permutations—delivers answers in seconds. D-Wave’s approach, echoed by R&D teams at the National Centre for Scientific Research in Greece and startups in Silicon Valley, moves quantum from the lab straight into crisis management and supply chain resilience. That’s not theory. That’s impact you can already feel. But how does this quantum-classical hybrid alchemy work? Picture a concert with two conductors. The classical computer orchestrates the main melody: parsing data, prepping input, managing workflows. The quantum processor takes center stage for the hardest solos—problems like protein folding, cryptographic codebreaking, or quantum chemistry—where parallelism and superposition reveal solutions too subtle or vast for binary calculation. And just behind the scenes, hybrid software stacks like Qiskit and PennyLane keep the signals crisp and the instruments—in this case, superconducting qubits and trapped ions—in glorious harmony. Recently, a Los Alamos team cracked a century-old math challenge—factoring group representations—through this hybrid lens. They paired classical pre-processing and result verification with a quantum variational algorithm, breaking a problem long thought unsolvable. Their lead, Martín Larocca, summed it up: “We want to know what quantum computers are good at, so we looked at problems intractable to classical computers.” It’s exactly this synergy—two paradigms, each amplifying the other—that’s redefining possibility this very month. Yet the drama of the quantum world isn’t limited to the data center. These breakthroughs echo in every field: optimizing hydrogen production for energy, sharpening cybersecurity, accelerating drug discovery. Each classical-quantum collaboration ripples outward, mirroring today’s global reliance on networks, alliances, and merged expertise. When you next see headlines about energy grids holding together through storms, or a pharmaceutical breakthrough delivered in weeks, remember: somewhere, a hybrid quantum-classical system quietly orchestrated the impossible. Thanks for tuning in. If you have questions, or burning topics you want deconstructed on air, send your emails to leo@inceptionpoint.ai. Don’t forget to subscribe to Quantum Computing 101—brought to you by Quiet Please Productions. For more on our shows and the quantum frontier, visit quiet please dot AI. For more http://www.quietplease.ai Get the best deals https://amzn.to/3ODvOta This content was created in partnership and with the help of Artificial Intelligence AI

    4 min

  8. SEP 12

    Quantum-Classical Fusion: Hybrid Breakthroughs Reshape Computing Landscape

    This is your Quantum Computing 101 podcast. Today, I want to dive right into a revolution happening before our eyes—a quantum-classical hybrid breakthrough that's turning the field on its head. Just this week, at major forums like Seicon Taiwan and Fintech Nation 25, I watched D-Wave unveil hybrid quantum systems designed specifically for industry-scale supply chains and finance. Picture this: quantum processors collaborating side-by-side with high-performance classical computers, unlocking solutions to problems that would leave even supercomputers sputtering for years. What makes these hybrid solutions so powerful? It's the union of classical certainty with quantum possibility. Classical systems still form the backbone, handling stable, routine computation—think the dependable rhythm of a heartbeat. Quantum processors, with their ability to explore massive solution spaces via superposition and entanglement, act like neural bursts, injecting creative computation exactly where complexity peaks. D-Wave’s approach isn’t just theory—it’s deployed, optimizing logistics networks and financial models in real time. It’s like sending a chess grandmaster to play only the toughest endgames, while a skilled tactician sweeps up the rest. This week also saw major advances in *modular quantum architectures*, drawing inspiration from something as simple as LEGO bricks. Researchers at University of Illinois Grainger College of Engineering demonstrated superconducting quantum devices that literally snap together. Like a city's power grid growing block by block, these modules can be joined or separated for upgrades—and crucially, their connections retain extremely high fidelity. Imagine being able to unplug and rearrange parts of a quantum computer without losing its powerful entangled state. Wolfgang Pfaff and his team showed they could achieve almost perfect SWAP gate fidelity when linking modules across coaxial cables—less than 1% signal loss! This modularity promises not only scalability, but resilience—an answer to the biggest challenge in quantum hardware: coherence and error correction. On the algorithmic front, the story gets even more dramatic. Just a day ago, Kwok Ho Wan and Zhenghao Zhong published a new technique for *magic state cultivation*—a crucial step toward fault-tolerant quantum computing. By cleverly reducing circuit complexity and exploiting stabilizer decompositions, they’re making it possible to simulate robust quantum states classically, with less computational overhead than ever before. This synergy between quantum and classical—where classical machines lay the groundwork and quantum algorithms soar—is the beating heart of today's hybrid solutions. Everywhere I look—industry, academia, and even in the fabric of daily life—these hybrid models are teaching us the power of collaboration. Just as world events remind us how stability and innovation must coexist, quantum-classical systems embody that balance. They’re not replacing the old; they’re reshaping what’s possible, together. Thank you for joining me on this electrifying journey. If you’re curious, confused, or want to challenge the status quo, email me at leo@inceptionpoint.ai. Don’t forget to subscribe to Quantum Computing 101. This has been a Quiet Please Production—for more emergent insights, visit quiet please dot AI. For more http://www.quietplease.ai Get the best deals https://amzn.to/3ODvOta This content was created in partnership and with the help of Artificial Intelligence AI

    4 min
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About

This is your Quantum Computing 101 podcast. Quantum Computing 101 is your daily dose of the latest breakthroughs in the fascinating world of quantum research. This podcast dives deep into fundamental quantum computing concepts, comparing classical and quantum approaches to solve complex problems. Each episode offers clear explanations of key topics such as qubits, superposition, and entanglement, all tied to current events making headlines. Whether you're a seasoned enthusiast or new to the field, Quantum Computing 101 keeps you informed and engaged with the rapidly evolving quantum landscape. Tune in daily to stay at the forefront of quantum innovation! For more info go to https://www.quietplease.ai Check out these deals https://amzn.to/48MZPjs

Information

  • Creator
    Inception Point Ai
  • Years Active
    2024 - 2025
  • Episodes
    173
  • Rating
    Clean
  • Copyright
    © Copyright 2025 Inception Point Ai
  • Show Website
    Quantum Computing 101

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