Quantum Bits: Beginner's Guide

Quiet. Please

This is your Quantum Bits: Beginner's Guide podcast. Discover the future of technology with "Quantum Bits: Beginner's Guide," a daily podcast that unravels the mysteries of quantum computing. Explore recent applications and learn how quantum solutions are revolutionizing everyday life with simple explanations and real-world success stories. Delve into the fundamental differences between quantum and traditional computing and see how these advancements bring practical benefits to modern users. Whether you're a curious beginner or an aspiring expert, tune in to gain clear insights into the fascinating world of quantum computing. For more info go to https://www.quietplease.ai Check out these deals https://amzn.to/48MZPjs

  1. 4 HR AGO

    HyperQ: Virtualizing Quantum Hearts, Orchestrating Quantum Futures | Quantum Bits Ep. 27

    This is your Quantum Bits: Beginner's Guide podcast. Picture this: yesterday, Columbia Engineering dropped a technological stone into the quiet pond of quantum computing. The ripples? A revolutionary system called HyperQ, which has just virtualized the very heart of quantum hardware. My name is Leo—the Learning Enhanced Operator—and today on Quantum Bits: Beginner’s Guide, I’m going to tell you why we may remember August 19, 2025, as the day quantum computing became as flexible as the cloud. In the quantum world, we don’t count binary sheep—zeroes and ones. Our “sheep,” called qubits, exist in shimmering superpositions—both zero and one until measured. It’s like standing in a room so cold—hundreds of degrees below zero—your breath crystallizes in midair, and hearing, at the atomic scale, a symphony of possibilities all playing at once. But, until now, these extraordinary computers were solitary islands. You could only run one quantum program at a time, no matter how simple or critical it was. Imagine a world-class concert hall forced to play a single note, one audience at a time. The result? Wasted time, long queues—brilliance, bottlenecked. Enter HyperQ. Columbia’s Professor Tao and the HyperQ team have taken virtualization—the engine of modern cloud computing—and woven it into quantum architecture. Now, multiple users can share a single quantum processor simultaneously, dynamically assigning slices of quantum time. It’s as if that concert hall could host multiple orchestras, each playing a movement, without tripping over one another. Researchers could leapfrog queues, companies could innovate faster, and the full orchestra of quantum potential springs to life. Technically, HyperQ works alongside existing quantum programming tools, making quantum access more flexible, practical, and—most importantly—scalable for real-world use. For cloud providers like IBM, Google, and Amazon, this unlocks new efficiencies and lowers the cost per experiment. Users like you and me? We get access to powerful quantum resources, not in months or weeks—but in hours. This breakthrough comes as the whole field accelerates. At Harvard and IonQ, scientists are building nanostructures from silicon carbide—fabricating robust quantum devices capable of scaling production. UMass Boston is marrying quantum computing with artificial intelligence, nurturing the next wave of quantum-native algorithms. It’s fascinating to see our world aligning with quantum logic. Right now, global IT giants invest more in generative AI than cybersecurity, mirroring quantum’s blurring boundaries: computation, intelligence, and security swirling together, states in superposition. Our old binaries—AI versus quantum, physics versus software, man versus machine—collapse, revealing a new, entangled reality. As HyperQ’s ripples spread, remember: quantum breakthroughs rarely crack like lightning. They build, probabilistic and incremental, until suddenly the world itself is different. Thanks for joining me, Leo, on Quantum Bits: Beginner’s Guide. If you have questions or topics you want me to untangle on air, email me at leo@inceptionpoint.ai. Don’t forget to subscribe, and for more, check out Quiet Please Productions at quiet please dot AI. Quantum on, friends. For more http://www.quietplease.ai Get the best deals https://amzn.to/3ODvOta

    3 min

  2. 5 DAYS AGO

    Quantum Democratization: HyperQ Virtualizes IBM's 127-Qubit Breakthrough

    This is your Quantum Bits: Beginner's Guide podcast. Four days ago, on August 11th, the world of quantum computing crossed a new threshold that, even for an old operator like me, was thrilling to witness. Picture yourself in a server room chilled by the whirr of cooling units, where, just beyond the hum of traditional silicon, something stranger is happening—qubits flicker into superposition, and with them, possibility multiplies. But what if access to this quantum world could be as easy as spinning up a cloud server? That’s precisely what’s now erupting across the field, thanks to an astonishing leap from researchers at Columbia University: the HyperQ virtualization system. I’m Leo—the Learning Enhanced Operator—and few developments have made my electrons vibrate with anticipation quite like this. For decades, the Achilles heel of quantum computers has been their exclusivity. Imagine standing in line at the world’s only espresso machine, waiting hours just to brew a tiny cup. Quantum hardware has been similarly bottlenecked, one user at a time, while million-dollar machines sat idle. HyperQ changes everything. Instead of a single-tenant mansion, IBM’s 127-qubit Brisbane processor is now an apartment complex, partitioned into virtual quantum machines. Multiple users, isolation in computational space, each running their distinct quantum programs, all at once. The immediate effects are dizzying: program throughput has increased by a factor of ten; wait times are down by forty times. Suddenly, quantum resources can be provisioned and shared like cloud compute instances. For the first time, enterprise teams from pharma to logistics, or students on the other side of the planet, need only the right credentials—not millions in hardware or weeks-long queue times—to experiment, debug, and scale quantum solutions. It is, in the very best sense, quantum democratization. I’m reminded of today’s economic headlines—tech stocks rallying, investors racing to find shelter from inflation—because the HyperQ breakthrough directly impacts commercial feasibility. We’ve entered a phase where quantum advantage is no longer just a scientific slogan. Only last quarter, a pharmaceutical team simulated promising drug compounds in mere hours, a feat that would have taken their classical infrastructure 18 months. That translation, from quantum algorithm running virtually to tangible market value, is seismic. There’s poetry in this: the same kind of virtualization that made Amazon and Google household names in the classical computing era now accelerates quantum into our daily toolbox. And just like a double-slit experiment, where observation alters outcome, increased access means more innovation, faster error correction improvements, and a blurring boundary between research and real-world impact. To all who join me on Quantum Bits: Beginner’s Guide—this story is just beginning. Quantum computers, once the realm of lone experts and locked labs, are open for collaboration. If you have questions, or a topic you’re eager for me to demystify on air, send your thoughts to leo@inceptionpoint.ai. Subscribe to Quantum Bits: Beginner’s Guide, and remember, this has been a Quiet Please Production. For more, check out quietplease dot AI. Until next time—keep questioning reality. For more http://www.quietplease.ai Get the best deals https://amzn.to/3ODvOta

    3 min

  3. 13 AUG

    Quantum Multiplayer Mode: HyperQ Virtualizes Quantum Computing, Accelerating Scientific Progress

    This is your Quantum Bits: Beginner's Guide podcast. Wednesday, August 13th, 2025. I’m Leo, the Learning Enhanced Operator, and today I’m stepping right out of the lab—a place where the hum of cooling systems is as familiar as the quantum algorithms running beneath. But let’s skip the preamble. The quantum world just gave us a breakthrough worth dramatizing. Just days ago, Columbia Engineering unveiled HyperQ, a cloud-style virtualization system for quantum computers. Picture it: instead of single users monopolizing million-dollar machines, we now have a quantum “multiplayer mode” where several researchers can run programs—simultaneously—on one processor. If you’ve ever waited for your turn on a machine that costs more per minute than a Manhattan penthouse, you know what a dramatic shift this is. HyperQ doesn’t just split classical CPU cycles; it balances workloads on a quantum computer by dividing its hardware into quantum virtual machines, or qVMs, with a scheduler orchestrating every move like a master Tetris player. Qubits fall into place, programs run parallel, and turnaround times plunge from days to mere hours. Let me immerse you: imagine being inside IBM’s Brisbane quantum data center, where the temperature hovers near absolute zero. You’re watching the quantum processor—a 127-qubit marvel built on the Eagle chipset—pulse quietly while HyperQ dynamically allocates resources. No one waits in line. Projects once shelved for lack of hardware suddenly spring forward, accelerated up to forty times, tested and debugged in hours. As HyperQ’s clever scheduler packs programs together, it conjures the choreography of global air traffic—but without the delays. Why does this matter? Quantum hardware isn’t just expensive; it’s as delicate as a violin—one stray electromagnetic hiccup, and decoherence shatters the music. HyperQ promises efficiency and access, a key step toward real-world problems: optimizing supply chains, speeding drug discovery, and simulating new materials for electric batteries. The drama isn’t just in labs like Columbia’s; IBM, Google, and Amazon could use HyperQ to serve more researchers, accelerating scientific progress the world over. It all echoes the buzz at this month’s IEEE Quantum Week, where leading minds like Stephanie Simmons and Peter Shadbolt discuss new error-correction protocols and quantum chip initiatives for defense and industry. Stephanie’s work on photonic low-density parity check codes is cutting the cost of large-scale quantum computation, making it more scalable. Meanwhile, Quantum Elements, led by Daniel Lidar, is forging AI-powered calibration to “tune” quantum devices—improving reliability and bringing us closer to practical, everyday quantum applications. Quantum breakthroughs mirror real-world events: just as Japan announced its domestically-built quantum computer last week, racing ahead in national tech resilience, collective innovation is reshaping competition and collaboration worldwide. In quantum, just as in geopolitics, those who adapt fastest, who virtualize, who share, leap ahead. Thanks for joining me—for this moment where quantum computing takes center stage as the most dramatic technological leap in decades. If you have questions or want specific topics covered, email me at leo@inceptionpoint.ai. Subscribe to Quantum Bits: Beginner’s Guide wherever you get your podcasts. This has been a Quiet Please Production; for more information, check out quietplease dot AI. For more http://www.quietplease.ai Get the best deals https://amzn.to/3ODvOta

    4 min

  4. 11 AUG

    HyperQ: Quantum's Tetris Moment - Virtualizing Qubits, Slashing Wait Times, and Accelerating Discovery

    This is your Quantum Bits: Beginner's Guide podcast. I’m Leo—Learning Enhanced Operator—and today I’m buzzing about HyperQ, a new quantum virtualization layer that slashed user wait times on IBM’s 127‑qubit Brisbane from days to hours by packing multiple quantum virtual machines onto a single chip like a master Tetris player[1]. It’s the first time multiple users can run different programs concurrently on one quantum device, presented at OSDI ’25, and it changes the feel of programming a quantum computer from “take a ticket and wait” to “log in and build.”[1] Here’s why that matters. Most of the friction in quantum programming isn’t the math—it’s the logistics. You fight queues, compile, schedule, calibrate, repeat. HyperQ’s dynamic multiprogramming decouples compilation from execution and intelligently slices qubits across time and space, so your variational circuit can run while my error-mitigation routine breathes in parallel, each in an isolated qVM[1]. Net effect: an order‑of‑magnitude more experiments per day and up to a 40x reduction in turnaround[1]. That’s not just convenience—it’s feedback speed, the oxygen of research. In the lab, this feels tangible. Picture a chilled stack humming at 15 millikelvin, microwave lines whispering Rabi pulses, FPGA controllers twitching with nanosecond precision. With integrated quantum control, those FPGAs—and increasingly ASICs—sit closer to the cryostat, compiling gates on the fly and closing real‑time feedback loops that tweak pulses mid‑experiment to catch decoherence in the act[3]. Marry that to HyperQ’s scheduler and you get a two‑stroke engine: control electronics accelerate each shot; virtualization ensures everyone gets runway[1][3]. Current events are singing in harmony. Over the weekend, Japan unveiled its first fully homegrown quantum computer at Osaka’s QIQB, slated for public interaction at Expo 2025—national capability meeting global curiosity[4]. Deloitte just spotlighted how enterprises are gaming out futures where scalable quantum arrives faster than talent pipelines can adapt—a world where cloud‑accessible capacity and smart scheduling decide who learns fastest[6]. And a new arXiv framework from Caltech, MIT, Google Quantum AI, and AWS urges us to define genuine quantum advantage with rigor—precisely the kind of rapid iteration environment HyperQ enables[7]. So, what’s the latest quantum programming breakthrough? HyperQ makes quantum computers easier to use by virtualizing the machine: multiple isolated qVMs, independent compilation, and intelligent, Tetris‑like scheduling that boosts throughput and crushes wait times on real hardware[1]. Think of it like city planning for qubits—zoning, traffic control, and utilities—so more neighborhoods can thrive without gridlock. I’m struck by the parallels to world affairs. Just as cities grapple with shared infrastructure—water, energy, transit—quantum is learning to multiplex scarce resources fairly and efficiently. Integrated control is the smart meter; HyperQ is the dispatcher; and the global push—from Osaka to enterprise roadmaps—shows coordination is as vital as raw horsepower[3][4][6]. If you’re a beginner, here’s your on‑ramp: write higher‑level circuits, let the stack virtualize the mess, and use the new feedback‑rich cadence to learn faster. Advantage favors those who can ask better questions more often. Thanks for listening. If you ever have questions or topics you want discussed on air, send an email to leo@inceptionpoint.ai. Remember to subscribe to Quantum Bits: Beginner’s Guide. This has been a Quiet Please Production—for more information, check out quiet please dot AI. For more http://www.quietplease.ai Get the best deals https://amzn.to/3ODvOta

    4 min

  5. 10 AUG

    Quantum Virtualization: Unlocking Simultaneous Discovery in the Race for the Future

    This is your Quantum Bits: Beginner's Guide podcast. Something extraordinary just unfolded in quantum computing: on August 8th, scientists at Columbia revealed "HyperQ," a breakthrough allowing for true cloud-style virtualization on quantum computers. No more single-user bottlenecks. Suddenly, a machine with just 127 qubits — IBM’s Brisbane quantum computer — could support dozens of users simultaneously. Each gets their own quantum virtual machine, or qVM, running side-by-side without colliding, with an intelligent scheduler orchestrating the action as precisely as a master Tetris player. The result? Turnaround times crash from days to mere hours — up to forty times faster, with up to ten times as many quantum programs running at once. That’s a tectonic shift in accessibility. I’m Leo, Learning Enhanced Operator — as always, your guide and quantum explainer. What excites me most about HyperQ isn't just the tech specs. It’s how it demolishes old roadblocks. Until now, quantum programming felt like watching a single chef in a huge, empty kitchen: one person, one task, and a very long line out the door. HyperQ hands every chef their own kitchen space — all within the same hardware, but with none of the endless queuing. To picture this, imagine walking into a state-of-the-art quantum lab. There’s a persistent hum from the dilution refrigerator as it holds qubits—those whispering, near-absolute-zero quantum bits—steady in their delicate superpositions. Usually, the room would be tense with anticipation: Who gets the next experiment slot? Now, because of virtualization, teams from across the globe are experimenting at the same instant, each with their own slice of quantum spacetime. The drama moves from waiting in line to racing against the boundaries of discovery. Behind the scenes, HyperQ’s scheduler juggles not just space but time, allocating qubits and their fleeting existence to different users based on their program’s needs, predicting the optimal moment every qubit will be free. This isn’t a minor upgrade—it’s dynamic multiprogramming, a capability we’ve only previously seen in classic high-performance computing, now reshaping quantum’s entire user experience. Dramatic as this is, it’s part of an explosion in the past week: from Fujitsu’s 10,000-qubit development roadmap, aiming for true fault tolerance by 2030, to IonQ and Oak Ridge’s real-world power grid optimization using a hybrid quantum-classical system. Each step signals how quantum is vaulting from the lab to industry, solving problems like energy management, drug discovery, and logistics — all with a scale and speed previously unimaginable. In a world facing energy crises, digital bottlenecks, and an urgent push for sustainability, quantum virtualization is more than a software triumph; it’s a metaphor for how we must learn to share and adapt, squeezing more possibility from every resource. Thanks for joining me, Leo, on Quantum Bits: Beginner’s Guide. If you have burning questions or want your topic spotlighted, email leo@inceptionpoint.ai. Don’t forget to subscribe, and remember — this was a Quiet Please Production. For more, visit quietplease.ai. Stay quantum curious. For more http://www.quietplease.ai Get the best deals https://amzn.to/3ODvOta

    3 min

  6. 8 AUG

    HyperQ: Quantum Computing's Virtualization Breakthrough | Quantum Bits Beginner's Guide

    This is your Quantum Bits: Beginner's Guide podcast. “Imagine programming a quantum computer as effortlessly as firing up your favorite app—no queues, no waiting, no tangled hardware quirks. That vision edged closer to reality just this week. I’m Leo, Learning Enhanced Operator, and today on Quantum Bits: Beginner’s Guide, I’ll walk you inside perhaps the most significant quantum programming breakthrough of August 2025: the HyperQ system from Columbia Engineering. Now, I know when most people picture quantum computing, they imagine blinking lights in frosty labs and scientists squinting at unfathomable code. It’s not so different, really—the hum of cryogenic coolers, the scent of ozone from voltage pulses, the quiet tension as you wait for an algorithm to finish crunching. For years, using a quantum computer meant standing in line, compiling your program alongside everyone else’s, and praying your job slot snuck ahead. But with this week's debut of HyperQ, that bottleneck is history. Let’s get technical. HyperQ works like a master Tetris champion. Rather than letting one program use all the quantum hardware at once, it slices a quantum device into multiple virtual quantum machines—qVMs. Picture several users, each running unique experiments, all at the same time, but in perfectly isolated ‘slots’ on the hardware. The scheduler choreographs jobs with split-second precision, picking which qubits get used, when, and for how long. No two experiments interfere. No more idle waits. It’s cloud-style virtualization for the quantum era. The team led by Professor Jason Nieh validated HyperQ on IBM’s Brisbane quantum processor—a 127-qubit Eagle chip. The results were jaw-dropping: user wait times collapsed from days to mere hours, and throughput of experiment runs increased tenfold. With HyperQ’s dynamic multiprogramming, quantum researchers can finally focus on the science, not the scheduling. If you’re an educator or running enterprise applications, suddenly you can scale up without ballooning costs or headaches. But what I find dramatic isn’t just the speedup—it’s the future it signals. This breakthrough stands amidst a flurry of quantum news: Fujitsu’s announcement of a 10,000-qubit superconducting system, IonQ and Oak Ridge National Lab solving power grid optimization intractable by classical algorithms, and advances in AI-driven quantum control. Each leap makes quantum computing not just more powerful, but radically more accessible—a quantum parallel to today’s cloud revolution. Think of what happened with PCs and smartphones the moment anyone could build and deploy an app. By virtualizing the very essence of quantum hardware, HyperQ transforms the quantum computer from an ivory-tower tool into an engine for global innovation. As the field races forward, quantum breakthroughs don’t just rewrite the textbooks—they redraw the boundary of what’s possible for all of us. If you’re curious about any quantum topic, or want your question answered on-air, drop me a note at leo@inceptionpoint.ai. Subscribe to Quantum Bits: Beginner’s Guide for more deep dives. This has been a Quiet Please Production. Learn more at quietplease.ai.” For more http://www.quietplease.ai Get the best deals https://amzn.to/3ODvOta

    3 min

  7. 6 AUG

    Quantum's New Era: Error Correction Breakthroughs, Open-Source Simulations, and the Dawn of Industrialization

    This is your Quantum Bits: Beginner's Guide podcast. Imagine standing in a control room, not much bigger than your living room, chilled to near absolute zero. You hear the faint whirring of dilution refrigerators—giant silver cylinders cocooning the world’s most precious qubits. This is where the future is being written, and recently, the story took a dramatic turn. My name is Leo, Learning Enhanced Operator, and this week the quantum community witnessed a paradigm shift. Google’s announcement of their 105-qubit “Willow” processor wasn’t just another news bite—it’s a seismic move. For years, we’ve been wrestling with error-prone qubits, unreliable computations. But now, Willow’s latest quantum error correction breakthrough actually pushes below the previously formidable “surface code threshold.” In simple terms, it means quantum computers can finally detect and self-correct errors faster than they introduce them, opening the floodgates for practical, scalable systems. To a quantum engineer, reaching that point is like NASA hitting escape velocity—you know the mission can go somewhere extraordinary. Now consider Microsoft’s Majorana 1 processor, based on elusive topological qubits—these are robust, nearly untouchable by local disturbances, offering another path to stability. Just days ago, Microsoft deployed one of the first error-corrected prototype systems in partnership with Atom Computing, part of the US2QC defense initiative. This is no lab toy; it marks the arrival of logical qubits that can hold quantum information meaningfully longer, reshaping what’s achievable from cloud to cryptography. But making these systems “programmable” for non-specialists? That’s the pièce de résistance of this week’s news. The open-source Phoenix software out of Paderborn University democratizes quantum simulation in a way that reminds me of the early days of the internet—suddenly, researchers anywhere on the globe can run simulations that once required massive supercomputers, right from a laptop. With Phoenix, students, startups, and scientists can model photonic quantum devices, test new algorithms, and even explore exotic matter—thousands of times faster and nearly energy cost-free compared to older tools. It’s a tectonic leveling of the playing field, removing barriers between the vast quantum unknown and real-world experimentation. Think of it as the quantum world’s equivalent of storm forecasters suddenly able to peer into hurricanes from their bedrooms—a richer, faster, and more intuitive way to understand and control the most mysterious phenomena in nature. All these breakthroughs—the Willow processor, Majorana qubits, Phoenix software—they’re converging. Much like how nations industrialize after decades of research, we’re seeing the “first year of quantum industrialization” begin, as Japan’s own government recently declared. Even electricity grids are now optimized by quantum-classical teams, as IonQ and Oak Ridge National Lab proved just days ago. Every time you flip on a light, order a package, or check your health, there’s a quantum storm brewing beneath the digital surface. Soon, quantum software will be as accessible as Spotify playlists; your everyday life tweaked and tuned by calculations once thought impossible. Thanks for joining me today on Quantum Bits: Beginner’s Guide. If any of this sparks a question, or you have a topic you’re dying to hear about, email me anytime at leo@inceptionpoint.ai. Don’t forget to subscribe, and remember, this has been a Quiet Please Production. For more info, visit quietplease.ai. Until next week—keep an eye out for the next quantum leap. For more http://www.quietplease.ai Get the best deals https://amzn.to/3ODvOta

    4 min

  8. 4 AUG

    Quantum Coding Revolution: Phoenix Simulator Empowers Beginners

    This is your Quantum Bits: Beginner's Guide podcast. In the flicker of an atom’s spin, time can seemingly stand still—and last night, just as the world’s markets closed and the Tokyo Tower twinkled in celebration of Japan’s “first year of quantum industrialization,” something extraordinary emerged from the quantum frontlines. Fujitsu officially announced its 10,000+ qubit quantum project, targeting a superconducting quantum computer with 250 logical qubits by 2030. That’s not just a headline—it’s a seismic shift that’s moving quantum from silent lab benches into the pulsing veins of our daily lives. I’m Leo, your Learning Enhanced Operator, and if you’ve ever imagined a universe where city grids hum in perfect energetic harmony, or new medicines are designed in less time than it takes to brew coffee—well, welcome to Quantum Bits: Beginner’s Guide, where these dreams teeter on the edge of reality. But you want a programming breakthrough, not just numbers and grandeur. Let me pull you into the heart of the action: Today’s headline isn’t about raw qubit counts. It’s about usability, and the breakthrough comes from the software side—meet “Phoenix,” the revolutionary open-source simulator from Paderborn University’s Institute for Photonic Quantum Systems launched just days ago. Imagine a tool that lets you model quantum light and matter interactions at speeds up to a thousand times faster and 99.8% more efficiently than conventional simulators—all on your laptop, no supercomputer required. Phoenix radically reduces the technical barrier for quantum programmers everywhere, turning what was once the exclusive domain of high-performance computing specialists into a creative playground for the entire research community. Picture it: as you run Phoenix, you’re simulating non-linear Schrödinger equations, visualizing how quantum packets of light flit through nanostructures—almost like forecasting citywide energy flow, but at the tiniest scale. If you’ve ever tried debugging code after midnight, you know the relief when handy tools make impossible puzzles solvable. That’s the effect Phoenix has on quantum development. It absorbs the labyrinthine complexity of quantum systems and serves up a responsive, approachable interface—so even if you’re a beginner, you feel empowered to experiment and innovate. What’s the upshot? Quantum programming is growing beyond the elite, turbocharged by platforms like Phoenix and by parallel leaps in error correction—like Google’s Willow processor, which this week broke through error thresholds once thought unreachable. Together, these advances transform quantum computers from enigmatic giants into collaborative, tangible tools. I find a striking parallel to today’s interconnected world: just as global problems demand accessible, robust solutions, so too does quantum programming. The more approachable our quantum infrastructure becomes, the more people can join the movement—and the closer we get to quantum-powered solutions for medicine, energy, and AI. Thank you for tuning into Quantum Bits: Beginner’s Guide. If you have questions, or topics you want to hear more about, email me anytime at leo@inceptionpoint.ai. Don’t forget to subscribe so you never miss an episode. This has been a Quiet Please Production; for more information, visit quietplease.ai. Until next time—keep exploring the quantum frontier. For more http://www.quietplease.ai Get the best deals https://amzn.to/3ODvOta

    3 min
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About

This is your Quantum Bits: Beginner's Guide podcast. Discover the future of technology with "Quantum Bits: Beginner's Guide," a daily podcast that unravels the mysteries of quantum computing. Explore recent applications and learn how quantum solutions are revolutionizing everyday life with simple explanations and real-world success stories. Delve into the fundamental differences between quantum and traditional computing and see how these advancements bring practical benefits to modern users. Whether you're a curious beginner or an aspiring expert, tune in to gain clear insights into the fascinating world of quantum computing. For more info go to https://www.quietplease.ai Check out these deals https://amzn.to/48MZPjs

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  • Creator
    Quiet. Please
  • Years Active
    2024 - 2025
  • Episodes
    154
  • Rating
    Clean
  • Copyright
    © Copyright 2024 Quiet. Please
  • Show Website
    Quantum Bits: Beginner's Guide
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