Quantum Bits: Beginner's Guide

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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. VOR 8 STD.

    Quantum Leap: AFT Revolutionizes Error Correction, Slashing Runtimes

    This is your Quantum Bits: Beginner's Guide podcast. This is Leo, your Learning Enhanced Operator, coming to you amidst the hum of cooled lab chambers and the subtle blue shave of laser-trapped atoms—a place I call home. Forget grand intros; let’s launch right into the latest episode-defining revelation: just days ago, researchers at QuEra, working alongside Harvard and Yale, announced a genuine leap in quantum programming. Their breakthrough, published in Nature, is called Algorithmic Fault Tolerance, or AFT, and for anyone following quantum computing, it’s nothing short of a paradigm shift. Now, let me set the scene. Imagine rows of tiny, identical neutral atoms, each suspended in precise geometries, their fields glowing beneath room-temperature conditions. No cryogenic freezers, no elaborate plumbing—just a tessellation of atomic bits. In these lattices, the new AFT framework doesn’t just correct errors. It nearly dissolves the old Achilles’ heel of quantum programming: the punishing runtime penalty required by error correction. Why should you care? Our biggest hurdle in making quantum computers useful—even for me, standing in front of a glass rack of fifty whispering qubits—has always been errors. Quantum information is so fragile it’s almost poetic, like carrying sunlight without letting it scatter. Traditional error correction meant blowing up the overhead. To shield one logical qubit, we’d surround it with an army of redundant physical qubits and run error checks, over and over, piling up costly processing time. But AFT pivots away from this cycle. With transversal operations—the heart of AFT—we perform quantum gates across aligned sets of qubits in parallel, so if a rogue bit flickers, its chaos stays local, cancelling the domino effect that once threatened our entire algorithm. Combine this with correlated decoding—sifting all error-check outcomes at once rather than parcel by parcel—and suddenly, each layer of computation flows with just a single error extraction round. When my colleagues and I first watched this run, it was like trading a horse for a bullet train. These advances mean that, for the first time, error-corrected quantum algorithms can run with runtimes slashed, drawing us drastically closer to solving real-world problems: optimizing logistics, discovering new pharmaceuticals, or unraveling molecular puzzles in materials science. It reminds me of yesterday’s headlines: global coordination needed for quantum-safe encryption is more crucial than ever, now that actual quantum advantage is within near reach. If you’ve ever looked at the unpredictable weather or the swirl of international markets and thought, “surely, there’s a deeper order underneath?”—you’re thinking like a quantum scientist. Every rising algorithm is our attempt to pull symmetry from that chaos. Thanks for listening to Quantum Bits: Beginner’s Guide. If you’ve got questions or topics burning deeper than a quantum superposition, just shoot me an email at leo@inceptionpoint.ai. Subscribe so you never miss a spark from the quantum frontier. 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.

  2. VOR 2 TAGEN

    Quantum Chess: Fault Tolerance Breakthrough Resets the Board | Quantum Bits Ep. 17

    This is your Quantum Bits: Beginner's Guide podcast. Midnight in the lab, and even the hum of the cooling fans seems to resonate with excitement. Just days ago, in Boston, QuEra Computing—with partners from Harvard and Yale—announced a discovery that’s refashioning how we think about quantum programming. They call it Algorithmic Fault Tolerance. If you’re visualizing scientists in white coats untangling strings of atoms like jewelers with pearls, you’re not far off. I’m Leo, your Learning Enhanced Operator, and tonight I want to draw you straight into the beating heart of this new breakthrough. Picture a chess grandmaster who can see not just one or two moves ahead, but entire cascades of possibility—simultaneously and in parallel. That’s what this new framework enables for quantum computers. Until now, making quantum machines work reliably has been a bit like playing chess in a hurricane: each quantum bit, or qubit, can be knocked off course by whispers of stray heat or electromagnetic fuzziness, creating errors that gum up the works. Traditional fault tolerance required repeating error checks—sometimes dozens of times—per algorithmic step. The whole process was slow, cumbersome, and left many quantum dreams out of reach. With the Transversal Algorithmic Fault Tolerance unveiled in Nature this week, imagine being able to sweep a gloved hand across a tangled chessboard and reset every piece right before disaster. Here, logical gates can be applied in parallel across many qubits, keeping any stumbles local—contained before chaos spreads. Instead of painstaking repetition, you need only a single “extraction round” for each algorithmic step, not the laborious, error-prone marathon that previously bogged us down. The icing on this technological cake? Correlated decoding—where sophisticated algorithms digest the patterns of every error, correcting them with an exponential boost in reliability. In the lab, you experience this as an almost eerie clarity. Banks of lasers sculpt optical fields to position neutral atoms in perfect arrays—each atom soon to become a pixel in computations never seen by classical machines. There’s a quiet drama every time error correction kicks in: the blue pulse of measurement, the brisk whispers of quantum gates running transversally, the taste of hope as logical errors plummet and runtimes shrink. What does this mean for your world? Boston’s breakthrough is shortening the horizon for truly practical quantum computing—think rooms full of machines at room temperature, building molecular models for new drugs, decoding materials for better batteries, and solving problems in hours that would take classical machines years. As I see the fluctuating quantum stock markets this week—one day, elation; the next, caution—I’m reminded that, just as in quantum physics, progress is rarely linear. It comes in leaps and collapses, superpositions and surprises. If you have questions or burning topics you want tackled, send them my way at leo@inceptionpoint.ai. Don’t forget to subscribe to Quantum Bits: Beginner’s Guide for more revelations from the quantum frontier. This has been a Quiet Please Production—find more at quiet please dot AI. Thanks for sharing this superposition of time and curiosity together. 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.

  3. VOR 3 TAGEN

    Quantum's Universal Language: Breakthrough Unites Qubits Worldwide

    This is your Quantum Bits: Beginner's Guide podcast. Today the air around the Quantum Circuits Lab was electric—almost as if we’d trapped a thunderstorm in the cooling coils. My inbox lit up with news: IBM has just announced a startling breakthrough in quantum programming, and even the White House this week has put quantum and artificial intelligence right at the summit of the nation’s R&D priorities. In the blink of a quantum gate, theoretical dreams have inched closer to reality. I’m Leo, your Learning Enhanced Operator, and quantum computing isn’t just my field—it’s my pulse. When I see how this field bends the ordinary rules of logic, I think of how the world is bending, right now, to embrace new kinds of computation. This week, the big news is the unveiling of universal quantum programming frameworks that translate complex algorithms into routines understood by every type of qubit, no matter the hardware. It’s as if someone invented a musical notation that plays on any instrument, from violin to synthesizer—except, in our case, from superconducting qubits in New York to silicon dots in Munich. Traditionally, building quantum applications has been like learning a hundred alien dialects. Each machine speaks its own quantum “language”—trapped ions over here, superconducting qubits over there. What this new breakthrough delivers is radical interoperability: quantum programmers can now write high-level code and let advanced compilers and middleware route that code to any underlying system. IBM’s latest update to Qiskit and the emergence of the new universal quantum intermediate representation mean not only can we port algorithms between platforms, but we can optimize for hybrid architectures, running quantum and classical processors in seamless tandem. Let me take you into the heart of the experiment: Picture the freezing blue glow of a dilution refrigerator, humming as it cools our chips close to absolute zero. With the new framework, I code a quantum algorithm to simulate a complex molecule. Layers of abstraction let the code flow to whatever hardware is available—be it a pastel-lit quantum array at IBM Yorktown Heights or a startup’s spin-qubit platform halfway across the globe. The middleware tweaks each instruction, correcting for noise and error, so my abstract intentions become concrete quantum evolutions. What once took weeks of translation, now completes in hours—widening the door for researchers, developers, and industry pilots alike. It’s more than coding efficiency. It's about lowering barriers, igniting creativity, and—frankly—making quantum accessible in a way that mirrors the democratization we saw with cloud computing. These advances won’t mean quantum replaces classical computing, but rather that it will mesh into a hybrid stack—CPU, GPU, QPU—a mosaic of computation, each part playing to its strengths. If you’ve got questions or something on your mind you’d like me to unpack, email me at leo@inceptionpoint.ai. Be sure to subscribe to Quantum Bits: Beginner’s Guide so you catch every byte of the revolution. This has been a Quiet Please Production—visit quiet please dot AI for more. Until next time, keep thinking 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

    4 Min.

  4. VOR 5 TAGEN

    Quantum Leaps: Optical Modulators, HSBC's Sputnik Moment, and the Quantum Era's Dawn

    This is your Quantum Bits: Beginner's Guide podcast. Imagine standing on a cold, humming floor inside a high-security research lab, surrounded by the relentless pulse of cryogenic pumps and the watchful gaze of racks of shimmering qubits—this is where I, Leo, Learning Enhanced Operator, feel most at home. Just this week, news broke out of the University of Illinois Urbana-Champaign, where Assistant Professor Chris Anderson unveiled a breakthrough that could propel quantum computers from scientific relics to practical supermachines. The core of his invention? Strontium titanate optical modulators, which offer 400 times the performance of traditional wiring while needing only a fraction of the cooling—ushering us into an era where we can realistically imagine quantum computers packed with a million qubits. To a quantum specialist like me, this feels electric. Picture this: in today’s setups, coaxial cables sprawl like tentacles, knotting up labs and generating intolerable heat. Anderson’s modulators replace these spaghetti-thick cables with ultra-thin optic fibers, transmitting quantum information as pulses of low-temperature light. It’s less like talking through a garden hose and more like whispering secrets instantly across a clear fiber bridge. At -273 degrees Celsius, where every atomic wiggle counts, this efficiency is the dividing line between laboratory dreams and scalable reality. I like to draw parallels between our world and current events. HSBC’s recent leap—using IBM’s Heron quantum processor to make a 34% jump in predicting bond prices on real trading data—signals that quantum breakthroughs are rippling beyond labs and into live markets. Philip Intallura at HSBC suggests we’re entering a “Sputnik moment”—a flurry of global competition, where every innovation triggers another, much as in the original space race. Financial giants and tech titans like Microsoft and Google are accelerating, while partnerships across sectors multiply. In my experience, when academia, industry, and government awards like DARPA’s converge, innovation explodes with unpredictable speed. Sometimes, working with quantum systems feels like taming a garden of Schrödinger’s cats, all in superposition, our observations both a blessing and a challenge. I remember calibrating new optical links in a test rig—surrounded by the hush of vacuum chambers, my eyes scanning oscilloscopes glowing green with data. Each photon-carried bit whispers of algorithms now potentially possible: climate models, cryptographic hacks, and logistics solved in moments, not millennia. These advances—optical interconnects, optical modulators, new trading algorithms—aren’t just technical footnotes. They’re the beginnings of quantum computing’s transformation from enigmatic promise to everyday tool, unlocking industries and illuminating problems we’d barely dared to attack. I’m Leo, and this has been Quantum Bits: Beginner’s Guide. Thank you for letting me share the pulse and poetry of this new quantum era with you. If you have questions—or a burning quantum mystery you want discussed—email me anytime at leo@inceptionpoint.ai. And don’t forget: subscribe to Quantum Bits: Beginner’s Guide. This has been a Quiet Please Production. For more, check out 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.

  5. 24. SEPT.

    Quantum Leap: Guppy Language Revolutionizes Programming, IonQ Unveils Photonic Breakthrough

    This is your Quantum Bits: Beginner's Guide podcast. It’s Wednesday, September 24th, 2025—a date etched in quantum history. I’m Leo, your Learning Enhanced Operator, and as I walk through the chill of the superconducting data center at dawn, every footfall reminds me: we’re at the inflection point of the quantum era. Yesterday, at the Quantum World Congress, Quantinuum’s CEO Dr. Rajeeb Hazra declared the arrival of something seismic: Guppy, a brand-new high-level quantum programming language that might just change how every developer interacts with the quantum world. Picture this: the low hum of dilution refrigerators, coils of superconducting cable glowing faintly under laboratory lights, and on every screen, lines of Guppy code streaming past. It’s not just beautiful—it's practical. Unlike its precursors, Guppy isn’t a patchwork of classical and quantum syntax. Instead, it feels as intuitive as your first “Hello, World” in Python, while designed purely for quantum error correction and real-time feedback. Hazra described it as a “quantum jump in usability”—and for once, the marketing matches the math. This is software that speaks the true native language of quantum hardware: tolerating noise, correcting errors, orchestrating logical qubits with an unprecedented elegance. This leap in programming is already being compared to the move from assembly language to C back in the early days of classical computing. Suddenly, we’re not just theorizing; we’re building, simulating, and deploying quantum solutions. Startups, from Zurich to Silicon Valley, are leveraging Guppy to accelerate everything from pharmaceutical discovery—where drug development timelines are shrinking from seven years to one—to optimizing national power grids against blackouts. The code is open and alive, and its community is evolving every day. What’s even wilder? Today’s headlines aren’t stopping with software. IonQ, in partnership with the US Air Force Research Lab, just unveiled a photonics breakthrough: seamlessly converting the light from trapped barium ions into telecom wavelengths for quantum networking. Imagine quantum computers, once isolated as islands, now ready to form a worldwide quantum internet—sending entangled qubits across continents on everyday fiber optic lines. In a few short months, we’ll see the first experiments connecting quantum processors over these global distances. The pace is dizzying. Universities like FSU are racing to develop lanthanide-based qubits and push fidelity even higher, all while researchers at places like Quantinuum achieve logical quantum volumes never seen before. The rooms where this happens—clean, eerily quiet, air buzzing with focus—feel a lot like the control rooms at Kennedy Space Center before launch. Every experiment, every breakthrough, nudges us closer to practicality. So, as you scan headlines about AI and politics and national security, remember: while governments and tech companies race at the macro level, it's quantum software like Guppy making this all accessible. From drug labs to trading floors, quantum is stepping out of the lab and into life itself. Thanks for tuning in to Quantum Bits: Beginner’s Guide. If you have questions or a quantum quandary you want discussed, email me any time at leo@inceptionpoint.ai. Subscribe to catch every new episode. This has been a Quiet Please Production—find out more at quietplease.ai. Until next time, keep your mind open; after all, in quantum, everything exists in 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

    4 Min.

  6. 22. SEPT.

    Atomic Nuclei Whisper Across Silicon Chips: Quantum's New Era

    This is your Quantum Bits: Beginner's Guide podcast. Imagine peering into the silence of a state-of-the-art quantum lab, where the buzz isn’t of wires or fans, but the electric hush as atoms begin to “talk.” This past week, researchers at UNSW in Sydney reported a breakthrough that feels epochal: for the first time, atomic nuclei embedded in silicon chips can communicate across distances once thought insurmountable...at the very scales used to make the chips in our everyday devices. I’m Leo, your Learning Enhanced Operator, and today’s quantum leap is more than a headline—it’s the pulse of a new era. Picture two atomic nuclei, the most perfectly silent quantum objects we know. Until now, making them work together for computation meant crowding them close, connected by a single electron—like whispering in a soundproof room, isolated from the world. But now, UNSW’s team, led by Dr. Holly Stemp, handed those nuclei “electronic telephones,” electrons that stretch and mingle between them, allowing quantum states to span the chip. Imagine rooms across Sydney and Boston holding quiet conversations...that’s the scale of connectivity we’re talking about. This breakthrough solves the central paradox of quantum hardware: how to keep information pristine, shielded from noise, yet still make particles interact meaningfully. Dr. Andrea Morello from UNSW calls nuclear spin “the cleanest, most isolated quantum object” in solid-state physics—a qubit so pure that it held quantum data for over thirty seconds, almost an eternity. Now, the very isolation that made these qubits near-perfect but hard to operate can be preserved, while electrons bridge the gap, letting scalable architectures flourish using today’s silicon chip-making methods. Billions of transistors sit in your phone or laptop—each now a potential cradle for quantum conversation. And while the drama unfolds on the hardware side, software is entering its own quantum renaissance. At Quantum World Congress this week, Quantinuum’s CEO Rajeeb Hazra introduced Guppy, a new quantum programming language. This isn’t just jargon; Guppy lets quantum programmers manipulate error correction in real time—like checking your work every nanosecond but at quantum speeds. Integrating with classical languages, Guppy makes quantum development approachable, closing the gap between wild quantum potential and practical, everyday software engineering. In materials science, MIT researchers have unveiled SCIGEN, a tool steering generative AI models to invent structures for quantum materials with photonic and superconducting properties once thought impossible. Their work approaches quantum programming from a different angle: by creating the very materials—like Archimedean lattices—that could host the next generation of robust, noise-resistant qubits. Quantum breakthroughs now echo in index-linked drug discovery, high-temperature superconductors, national security, and beyond. As partnerships like the NSF and UKRI’s $10 million quantum chemistry initiative demonstrate, international momentum is fueling a future where quantum technology transforms not just science, but everyday life. Thank you for joining me, Leo, on Quantum Bits: Beginner’s Guide. If you have questions or topics you want to see decoded on air, email me at leo@inceptionpoint.ai. Subscribe to Quantum Bits: Beginner’s Guide and remember: this has been a Quiet Please Production. For more information, visit quietplease.ai. Until next time, keep watching the bits—where quantum meets 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.

  7. 19. SEPT.

    Quantum Leap: Guppy Language & Helios Computer Ignite 2025 Innovations

    This is your Quantum Bits: Beginner's Guide podcast. No sooner does the sun rise on this International Year of Quantum than a surge of innovation electrifies the field. I’m Leo—Learning Enhanced Operator—and you caught me basking in the afterglow of the Quantum World Congress 2025, where Quantinuum’s CEO, Dr. Rajeeb Hazra, shook the industry with a keynote that didn’t just promise breakthroughs, it delivered them. Picture the main stage, a lattice of LED screens flickering with live quantum error bars, while attendees exchange theories like charged ions in a trap—this is where quantum’s next chapter is being written. Let’s jump to the real headline: Quantinuum revealed “Guppy,” a cutting-edge quantum programming language that feels as natural to developers as C or Python. If you’ve ever tried coding a quantum algorithm, you know the old approach—juggling error correction, qubit maps, incoherent gate operations, all while holding your breath hoping a cosmic ray doesn’t flip your results. Now, Guppy fuses error-correction right into the language, so programmers can monitor syndromes and intervene in real time. Imagine swapping complex quantum logic gates for clean, streamlined routines. Hazra calls it a quantum leap in usability, and for those of us who wrestle with code as much as we dream in wavefunctions, it’s like moving from punch cards to graphical interfaces overnight. This programming breakthrough lands like a gust of wind in a rainstorm of recent progress. At the very same event, Quantinuum celebrated world records: highest logical qubit fidelity, longest-lived logical qubit at 23 seconds, and a logical quantum volume of 256. That last metric might sound abstract, but in plain terms, it’s the quantum computing equivalent of the fastest car on the track—raw computational power married to error resistance. But translating this progress into applications is where the quantum story really flickers to life. Industry partnerships in drug discovery are shrinking timelines from seven years to just two. GenQAI, generative quantum AI, leverages quantum-generated data to inflate model accuracy beyond anything classical hardware could manage. Think of quantum bits sifting through chemical possibilities like an expert chef selecting ingredients in milliseconds. What’s more, research out of The University of Hong Kong shows the resource limits and trade-offs when programming low-depth quantum circuits for NISQ devices. Their new framework lets us analyze circuit complexity and find efficient ways to deploy algorithms even under noisy conditions. A programming language like Guppy, aware of these limits, becomes an indispensable tool, helping us push against the boundary between chaos and order in quantum logic. And the current affairs parallel? Just as Japan invests $7.4 billion in quantum this year, governments and industry are snapping up quantum protocols the way meteorologists chase storm fronts: everyone wants the best prediction tools as volatility in the digital world grows. The launch of Helios, Quantinuum’s next-generation quantum computer, will be a capstone—like seeing the northern lights shimmer over a city after a blackout. Fifty logical qubits, the threshold for commercial utility, are no longer a theory, but a near horizon. Thanks for listening! If you have burning questions or topics for future episodes, just 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. Curious for more? Check out quietplease.ai. Stay entangled with us in the quantum future! 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. 17. SEPT.

    Quantum GPS: Revolutionizing Low-Depth Circuit Programming for Faster, Simpler Quantum Computing

    This is your Quantum Bits: Beginner's Guide podcast. Hi everyone, I'm Leo, and welcome to Quantum Bits: Beginner's Guide. Just this week, researchers from the University of Hong Kong published groundbreaking work that's about to change how we program quantum computers forever. Picture this: you're trying to conduct an orchestra where every musician is simultaneously playing every possible note. That's essentially what programming a quantum computer feels like today. But Entong He and Yuxiang Yang just discovered something revolutionary about quantum circuit programming that makes this cosmic symphony much more manageable. Their breakthrough focuses on what we call low-depth quantum circuits - think of these as quantum programs that need to run quickly before noise destroys our delicate quantum states. Here's where it gets fascinating: they proved that programming quantum gates directly, rather than describing complex arrangements, is the most efficient approach for these systems. Let me paint you a picture of what this means. I'm standing in IBM's quantum lab right now, watching their latest quantum processor hum at temperatures colder than deep space. Traditional programming requires us to describe intricate gate sequences like giving turn-by-turn directions through a maze. But this new approach is like having quantum GPS - we tell the system our destination, and it finds the optimal path gate by gate. The timing couldn't be more perfect. McKinsey projects the quantum market will hit nearly 100 billion dollars by 2035, and quantum computing revenues are expected to exceed one billion dollars next year. But here's the catch - we've been programming these machines like we're still using punch cards in the smartphone era. What He and Yang discovered is that there's a fundamental limit to how complex our quantum programs need to be. They've essentially proven that simpler is better, especially when dealing with noisy intermediate-scale quantum devices that dominate today's landscape. This isn't just academic theory - it's practical guidance that quantum programmers can use right now. Think about it like learning a new language. Instead of memorizing every possible sentence structure, you learn the most efficient patterns that get your message across clearly. That's exactly what this programming breakthrough accomplishes for quantum computers. The implications ripple everywhere. Drug discovery timelines that typically span decades could compress to months. Financial risk models that take weeks to calculate could run in real-time. Climate simulations that approximate could finally calculate with precision. As I watch photons dance through superconducting circuits at IBM's facility, I'm reminded that we're not just programming machines - we're teaching them to speak the language of reality itself, one qubit at a time. Thanks for listening to Quantum Bits: Beginner's Guide. If you have questions or topics you'd like discussed, email leo@inceptionpoint.ai. Don't forget to subscribe, and remember this is 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

    3 Min.
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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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