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Imagine this: just days ago, on April 21st, Anthropic's Mythos AI system exposed a chilling truth—it's autonomously discovering zero-day exploits in real-time, a harbinger of the quantum cyber apocalypse we've long feared. As Leo, your Learning Enhanced Operator diving into quantum's abyss at labs chilled to 10 millikelvin, I felt the chill deeper than my dilution fridge's helium pulse. Welcome to Quantum Dev Digest, where bits entangle and realities superposition.

Picture me last Tuesday, gloves fogging in the dim glow of our superconducting qubit array at Inception Point Labs. Cryostats humming like cosmic heartbeats, superconducting niobium circuits suspended in vacuum, each qubit a fragile dancer in superposition—existing in infinite states until measured, collapsing like a gambler's desperate bluff. That's quantum supremacy in action: not brute speed, but nature's own logic, entangled particles whispering solutions classical computers chase in vain.

But today's crown jewel? The UK's £80 million AI-quantum fusion fund, announced April 22nd by the Department for Science, Innovation & Technology. They're pouring GPU hours into startups like Callosum, bridging disparate processors—classical, GPU, and quantum processing units (QPUs)—into hybrid beasts. Why does this matter? Everyday analogy: it's your kitchen blender meeting a nuclear reactor. Blenders (classical chips) chop veggies fine but choke on molecular bonds. Reactors (QPUs) fuse atoms effortlessly but meltdown without control rods (AI error correction). This fund marries them: AI tames qubit noise in real-time, optimizing circuits like a chef's sous-vide precision, unlocking drug discovery that simulates proteins folding faster than evolution itself.

Feel the drama? Qubits entangle across chips, interference waves canceling wrong paths—like a quantum maze runner exploring every fork simultaneously, per BCG's Matt Langione analogy. No more brute-forcing mazes; we superposition victory. This convergence rewrites AI, cracking combinatorial nightmares in materials science, where quantum edges out transformers for high-dimensional sampling. Echoes China's quantum push, per ChinaTalk's Zach Yerushalmi, but UK's IP-smart contracts keep innovation homegrown.

From my perch, watching laser-calibrated ions flicker blue in the void, this isn't hype—it's the 2015 AI moment Chris Miller nailed. Talent bottlenecks? We're wiring fridges, aligning passions from physicists to deal-makers. The race heats: US, UK, China—purpose-built QPUs for crypto-breaking Shor's algorithm or cancer-curing sims.

Quantum Dev Digest thrives on this edge. Thanks for tuning in, listeners. Questions or topics? Email [email protected]. Subscribe now, and remember, this is a Quiet Please Production—for more, quietplease.ai. Entangle your minds; the multiverse awaits.

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Imagine this: just days ago, on April 14, 2026, Cloudflare dropped a bombshell report accelerating quantum timelines—our encryption could crack by 2029, not 2035. I'm Leo, your Learning Enhanced Operator, and welcome to Quantum Dev Digest. That news hit like a qubit collapsing from superposition, forcing the world to reckon with quantum's raw power right now.

Let me paint the scene from my lab at Inception Point last week. The air hums with cryogenic chillers, a faint ozone tang from superconducting circuits, and the soft whir of dilution refrigerators plunging qubits to near absolute zero. I was calibrating our 200-qubit NISQ rig when the alert pinged: Microsoft's execs declaring utility-scale quantum within years, turbocharging AI by 1,000 times via precise training data. But today's crown jewel? Trail of Bits outsmarting Google's zero-knowledge proof for quantum cryptanalysis on April 17. They forged a proof claiming superior 3-qubit circuit performance, exposing memory safety flaws in Google's Rust zkVM code. It's a wake-up call—quantum security isn't theoretical; vulnerabilities lurk in the code we trust.

Why does this matter? Picture your morning coffee. Brewing the perfect cup classically means trial-and-error: too hot, bitter; too cold, weak. Quantum simulation flips that. Like Richard Feynman dreamed, we use quantum systems to mimic quantum systems—native, exponential efficiency. Classical computers choke on 50-particle simulations; their state space explodes beyond supercomputer memory. But our noisy qubits, with error mitigation and hybrid pipelines, evolve those states naturally. Brian Lenahan nails it: even 50-200 qubits deliver quantum advantage in molecular dynamics or supply-chain modeling today, building irreplaceable know-how.

Trail of Bits' exploit? It's quantum cryptanalysis stress-testing zk-proofs, the shields for post-quantum crypto. They scripted a 3-qubit incrementer—Hadamard gates for superposition, CNOTs entangling bits, measurements collapsing reality. Google's proof claimed unbeatable metrics; Trail of Bits hacked it, proving zkVMs need ironclad security. Everyday analogy: it's like rigging a casino slot machine to fake jackpots. One flaw, and the house—your bank, your data—crumbles. As Q-Day looms, per Frank's World on April 15, we're racing to quantum-safe algorithms.

This isn't sci-fi; it's the frontier. French firm Alice & Bob scales cat qubits in new fabs; Aussie Deteqt's quantum sensors snag DoD contracts. Quantum augments classical like GPUs did AI—targeted supremacy now.

Thanks for tuning in, listeners. Questions or topic ideas? Email [email protected]. Subscribe to Quantum Dev Digest, and this has been a Quiet Please Production—for more, check quietplease.ai. Stay quantum-curious.

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Hello, quantum trailblazers, I'm Leo, your Learning Enhanced Operator, host of Quantum Dev Digest. Picture this: just days ago, on April 14th—World Quantum Day—a team from the Wellcome Sanger Institute, partnering with Oxford, Cambridge, and Melbourne researchers, etched history by loading the entire Hepatitis D viral genome onto IBM's 156-qubit Heron processor. Over 1,600 nucleotides, translated into fragile qubit registers, held steady without decohering into classical chaos. Dr. James McCafferty, Sanger's CIO, hailed it as a landmark—real biological data now pulses through quantum veins seamlessly.

Feel the hum of that cryostat in my bones, the eerie blue glow of superconducting qubits chilled to near absolute zero, where electrons dance in superposition like fireflies in a midnight storm. This isn't sci-fi; it's the Frontier era of NISQ devices, noisy yet potent, proving quantum machines can wrestle life's messy complexity—viral DNA that supercomputers choke on.

Why does this matter? Imagine your kitchen blender versus a molecular whirlwind. Classical computers brute-force genomic alignments, slicing through exponential state spaces like a dull knife hacking onions, tears streaming, progress glacial. But this Heron setup? It leverages superposition for parallel searches across mutation landscapes, slashing compute times for tracking outbreaks—like the fresh Hepatitis D alerts rippling through Europe last week. Hybrid workflows emerge: quantum handles the probabilistic fury, classical polishes the gold. We're eyeing drug discoveries that could neuter viruses before they mutate.

And it's not alone. That same day, IonQ entangled qubits across two trapped-ion machines using photons over commercial fiber, funded by the Air Force Research Laboratory. CEO Niccolo de Masi nailed it: scaling like the internet, linking small, reliable modules into a quantum web. Trail of Bits even outdid Google's zero-knowledge proofs for quantum cryptanalysis, trimming gates and qubits in circuits that guard our data from Shor's algorithm threats.

This viral genome feat reveals a quantum biology threshold—Heron's error mitigation stabilized data at biological scales, whispering we're nearer full human genome sims than Feynman dreamed forty years back. Businesses in pharma and beyond, don't wait for fault-tolerant millions; hybrid sims deliver now, building roadmaps like early flight trainers birthing today's VR cockpits.

The arc bends toward quantum advantage in narrow domains—chemistry, energy, defense—where classical falters.

Thanks for tuning in, listeners. Questions or topic ideas? Email [email protected]. Subscribe to Quantum Dev Digest, and remember, this has been a Quiet Please Production—for more, check quietplease.ai. Stay entangled.

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Hey, Quantum Dev Digest listeners, imagine a qubit dancing on the edge of chaos, entanglement weaving invisible threads across the void—that's the thrill I live for. I'm Leo, your Learning Enhanced Operator, and this week, Seed IQ just shattered the scale barrier on April 9th, proving quantum coherence can hold under real-world strain, not just lab fantasies.

Picture me in the humming cryostat chamber at Inception Point Labs, Geneva—frost-kissed superconducting qubits chilled to near absolute zero, their Josephson junctions pulsing like synchronized heartbeats in the dim blue glow of dilution fridges. The air crackles with liquid helium's ethereal mist, and I'm wired in, monitoring coherence times stretch beyond 100 microseconds. That's the scene where breakthroughs ignite.

Seed IQ's demo isn't hype; it's a path to scalable quantum. For decades, instability—error accumulation shredding entanglement like a storm ripping sails—locked us in NISQ purgatory. Noisy Intermediate-Scale Quantum, where 50-qubit sims fizzle from decoherence. But Seed IQ governed that chaos, preserving superposition long enough for meaningful gates. Brian Lenahan's Substack nails it: quantum simulations already deliver value today, modeling spin systems for superconductors or battery materials that classical supercomputers choke on.

Why does this matter? Everyday analogy: it's your smartphone's GPS in a blizzard. Classical bits are straight-line drivers, lost in exponential traffic jams—simulating 50 particles needs more memory than Earth's supercomputers hold. Quantum? Like intuition cutting through fog, natively exploring vast state spaces via superposition. Seed IQ scales that, turning noisy rigs into co-processors for drug discovery or climate models. NVIDIA's Ising models echo this, calibrating errors with quantum-inspired AI, while Microsoft whispers utility-scale quantum could supercharge AI training 1,000-fold.

Feel the drama: qubits aren't just switches; they're probability waves collapsing realities. Seed IQ's stability means fault-tolerance edges closer—no more "wait for 2030." Businesses hybridizing now build the muscle memory, like pilots mastering clunky 1980s simulators before VR cockpits.

This arc from fragility to fortitude? It's quantum's hero's journey, and we're mid-quest. Today's sims forge tomorrow's processors.

Thanks for tuning in, folks. Questions or topic ideas? Email [email protected]. Subscribe to Quantum Dev Digest, and remember, this is a Quiet Please Production—for more, check quietplease.ai. Stay entangled.

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I appreciate your detailed request, but I need to be transparent about a significant limitation: the search results provided don't contain information about recent quantum computing developments from the past few days leading up to April 17, 2026.

The search results primarily feature an interview with Aditya Singh from BQP discussing quantum-inspired algorithms and mathematical approaches to quantum computing, along with some references to post-quantum cybersecurity concerns. However, none of these sources are dated close enough to today's date to constitute "current events from the past few days" as your request specifies.

Additionally, the search results lack:

- Specific recent quantum computing breakthroughs or discoveries announced in April 2026

- Dated articles or announcements from the past few days

- Named researchers or institutions releasing new quantum findings this week

- Specific experimental results or milestones from recent dates

To create an authentic, factual first-person narrative script for Leo that meets your requirements—particularly the mandate to reference current events from the past few days and share today's most interesting quantum computing discovery—I would need search results that contain:

1. Dated quantum computing news from April 14-17, 2026

2. Specific breakthroughs, research announcements, or developments announced recently

3. Named researchers, institutions, or companies making these announcements

4. Technical details about the discoveries

Without this current information, creating the script would require me to either fabricate recent events or rely on older information, both of which would violate the "Be Factual" requirement you emphasized.

I recommend rerunning the search with a focus on recent quantum computing news and breakthroughs from mid-April 2026, then I can craft an engaging, accurate Leo narrative that meets all your specifications.

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Imagine this: just days ago, on April 10th, MIT announced the passing of Professor Emeritus Jack Dennis at 94—a true pioneer whose dataflow models echo the asynchronous dance of qubits in modern quantum machines. I'm Leo, your Learning Enhanced Operator, diving into the quantum fray on Quantum Dev Digest.

Picture me in the humming chill of Inception Point's lab in Silicon Valley, superconducting qubits whispering at millikelvin temps, their Josephson junctions pulsing like synchronized heartbeats. The air smells of liquid helium, sharp and metallic. Today’s most riveting discovery? Cryptography whiz Filippo Valsorda’s stark warning, fresh off Substack: recent qubit scaling breakthroughs have slashed timelines for cryptographically relevant quantum computers. What took theoretical eons now looms by 2029. Breaking 256-bit elliptic curves? Suddenly feasible with fewer resources than we dreamed.

Why does this matter? Let me paint it with an everyday analogy. Think of your bank vault as RSA encryption—today’s classical locks, brute-forced by supercomputers in geological time. Enter quantum: Shor's algorithm on a fault-tolerant machine turns that vault into a magician's trick box. Qubits entangle in superposition, exploring infinite keys simultaneously, like a thief who clones himself a trillion times, trying every combination at once while sipping coffee. Poof—the vault springs open. Valsorda cites new resource estimates showing it's not sci-fi; it's a ticking clock for finance, governments, everything encrypted.

This isn't abstract. Dennis's dataflow legacy lives here: his parallel, non-von Neumann visions prefigured quantum's promise of massive parallelism without sequential bottlenecks. In our rigs, qubits in superposition compute all paths of a molecule's folding—drug discovery exploding, climate models unraveling chaos. But Valsorda's alert? It's a supernova flare. Nations scramble; the U.S. Army's Victor AI eyes quantum threats, while China's firms weaponize intel. We're at the inflection: migrate to post-quantum crypto now, or watch digital empires crumble.

Feel the drama? Qubits aren't bits flipping dutifully; they're probability waves collapsing in measured defiance, birthing realities from quantum foam. Dennis bridged hardware-software chasms; today, we surf entanglement's edge.

Thanks for tuning in, quantum devotees. Got questions or hot topics? Email [email protected]—we'll dissect them on air. Subscribe to Quantum Dev Digest for weekly dives. This has been a Quiet Please Production; for more, check out quietplease.ai. Stay entangled.

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Imagine this: just days ago, on April 10th, D-Wave's CEO Alan Baratz sat down with Eric Hanselman on the Next in Tech podcast, unveiling how their quantum systems are already crushing real-world optimization problems—like scheduling chaos in factories or logistics nightmares that classical computers choke on. As Leo, your Learning Enhanced Operator in the quantum trenches, I felt that electric hum in my veins, the same thrill as witnessing superposition collapse into gold.

Picture me in the dim glow of Inception Point's lab in Silicon Valley, the air crisp with cryogenic chill, superconducting qubits whispering at 15 millikelvin. I'm peering into our dilution refrigerator, a towering beast humming like a cosmic heartbeat, housing circuits that dance on the knife-edge of quantum coherence. That's where the magic brews: quantum annealing, D-Wave's forte, where qubits don't compute bit by bit—they tunnel through energy landscapes, finding global minima faster than you can say "traffic jam."

Baratz dropped a bombshell: D-Wave now bridges annealing and gate-model quantum computing. Annealing excels at optimization—think rescheduling a fleet of delivery trucks amid storms and strikes, slashing fuel by 20% in simulations. Gate-model? That's Shor's algorithm territory, factoring primes to shred RSA encryption. But here's the everyday analogy that hits home: imagine rush-hour traffic in LA. Classical cars (bits) crawl linearly, honking in frustration. Quantum annealers? They're like a flock of birds, swirling in superposition, instantly spotting the hidden lane that clears the gridlock. Why does this matter now? With supply chains fracturing from global tensions, enterprises like Volkswagen and Lockheed are deploying D-Wave today—not tomorrow—saving millions while classical supercomputers sweat.

This isn't sci-fi; it's the pivot. Michael Nielsen, quantum pioneer and open science guru, echoed in his recent Dwarkesh Podcast chat that science surges through such hybrid leaps. We're not waiting for fault-tolerant qubits; annealing delivers value amid the noise. Feel the drama? Qubits entangle, superposition blooms like a nebula birthing stars, then measurement snaps reality into profit.

Current events amplify it: DeepMind's Demis Hassabis, fresh off Nobel glory for AlphaFold, hints at AI-quantum fusion in Cleo Abram's HUGE Conversations. Quantum optimizes neural nets, accelerating drug discovery—picture curing cancers by quantum-simulating molecules that laugh at classical limits.

We've arced from hook to horizon: quantum's here, reshaping your world. Thanks for tuning into Quantum Dev Digest, folks. Questions or topic ideas? Email [email protected]. Subscribe now, and remember, this is a Quiet Please Production—for more, check quietplease.ai. Stay quantum-curious.

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Imagine the digital vaults of Bitcoin trembling like a house of cards in a quantum storm—that's the shockwave from this week's breakthroughs. Hello, I'm Leo, your Learning Enhanced Operator, here on Quantum Dev Digest, and just days ago, on April 7th, Cloudflare accelerated their post-quantum roadmap to 2029, spurred by twin papers from Google's Quantum AI team with Craig Gidney, Stanford's Dan Boneh, and Ethereum's Justin Drake. They slashed resource estimates for cracking ECC-256 via Shor's algorithm, zipping attacks to mere 9 minutes on error-corrected superconducting arrays.

Picture me in the frosty hum of a dilution fridge lab at inceptionpoint.ai, superconducting qubits dancing at near-absolute zero, their Josephson junctions whispering superposition secrets. The air bites with liquid helium mist, a sharp tang that chills your bones while the faint whir of cryostats pulses like a heartbeat. These aren't pipe dreams; they're algorithmic wizardry taming quantum beasts.

Today's most interesting discovery? That Google paper optimizing Shor's circuits for elliptic curve discrete logs—the heart of secp256k1 crypto in blockchains. Traditional Shor demands millions of noisy qubits; they cut it 20x via smarter compilation, precomputing halves to make ECC-256 feasible. Why does it matter? Think of your morning coffee rush: classical computers are like a single barista juggling orders linearly, spilling half in the chaos. Quantum? It's a dozen baristas in superposition, entangled across counters, instantly optimizing every pour, milk foam, and handoff—crushing months of trial-and-error into seconds. Bitcoin's security, built on those math mountains too steep for classical climbers, now faces quantum Sherpas racing up in a flash.

But hold on—China's not sleeping. On April 8th, Origin Quantum unveiled a 1,000-qubit processor crushing optimization benchmarks, per PostQuantum.com reports. Meanwhile, Tsinghua University and Google DeepMind dropped "Quantum-Enhanced Simulations of High-Pressure Chemistry" on arXiv April 9th, fusing machine learning with density functional theory on hybrid rigs to simulate atomic bonds at 100 GPa—planetary-core pressures hotter than a supernova's edge. Drug discovery? Supply chains? This dragon uncoils, eclipsing us all.

The drama peaks in those cryostats, qubits fighting decoherence like sandcastles against the tide, stacking into error-corrected logical ones—Russian dolls of resilience. It's global chaos mirrored: markets entangled like baristas in a rush, collapsing to perfection or spill. Q-Day looms, but post-quantum crypto flips the script.

Thanks for tuning in, listeners. If you have questions or topics for the show, email [email protected]. Subscribe to Quantum Dev Digest, and remember, this has been a Quiet Please Production—for more, check out quietplease.ai. Stay quantum-curious.

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Imagine this: a quantum shadow creeping over Bitcoin's vaults, but yesterday, on April 9, 2026, Avihu Levy, Starkware's CPO, flipped the script with QSB—Quantum Safe Bitcoin. No protocol tweaks, no softfork drama. Just pure ingenuity using Bitcoin's dusty legacy Script rules. I'm Leo, your Learning Enhanced Operator, and welcome to Quantum Dev Digest. Strap in; this one's a thriller.

Picture me in the humming chill of Inception Point's lab in Tel Aviv—neon cryostats pulsing like alien hearts, the sharp tang of liquid helium biting the air, qubits dancing in superconducting silence at 20 millikelvin. I've spent years wrangling these fragile beasts: superposition, where particles flirt with infinite realities; entanglement, that spooky Einstein-called-action-at-a-distance linking fates across chips. But Levy's breakthrough? It's quantum dread turned triumph, and it hits like a heist movie.

Here's the gem: QSB shields Bitcoin transactions from quantum Armageddon—Shor's algorithm, that elliptic curve shredder looming on future rigs. Levy builds on Robin Linus's Binohash but fixes its flaws, swapping ECDSA signatures for a hash-to-sig puzzle rooted in RIPEMD-160's pre-image resistance. The spender brute-forces transaction params till the hash spits a valid DER-encoded ECDSA sig—odds about 1 in 70 trillion, dramatic as defusing a bomb in zero-G. Then, two HORS-style Lamport rounds: FindAndDelete tweaks sighashes, revealing pre-images only in the witness. Config A delivers 118-bit resistance against Grover's quadratic clawing—no Shor advantage, since curves are gone. Costs? $75-150 in GPU grind per tx, parallelized in hours. Starkware's Eli Ben-Sasson roared, "Bitcoin is Quantum-Safe TODAY!"

Why matters? Everyday analogy: Bitcoin's old guards are like padlocks on your grandma's diary—pickable by a quantum crowbar. QSB's a biometric vault, hashing your secrets into an unbreakable riddle. Imagine ordering coffee, but your payment's entangled with a Grover-proof maze; even a Y2K-scale quantum beast needs eons to crack it. This isn't theory—Levy's GitHub drops full CUDA code, Python pipelines, Bitcoin Scripts. No wallet toggle yet, but the path's paved. In our entangled world, where crypto funds my qubit quests, this severs quantum's Bitcoin stranglehold, letting devs like me focus on scaling logical qubits past 1000, error-corrected.

From lab frost to blockchain fortresses, quantum's rewriting rules. We've bridged the chasm.

Thanks for tuning in, listeners. Questions? Topics for airtime? Email [email protected]. Subscribe to Quantum Dev Digest, and this has been a Quiet Please Production—for more, check quietplease.ai. Stay entangled.

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Imagine this: a quantum computer cracking Bitcoin's vault in just nine minutes, exposing 6.9 million BTC—33% of the supply—to thieves during mempool races, with a 41% success rate. That's the bombshell from Google's Quantum AI team this week, as reported by Fintech Dose, and it's got the crypto world scrambling.

Hey, Quantum Dev Digest listeners, I'm Leo, your Learning Enhanced Operator, diving into the subatomic frenzy from my lab at Inception Point. Picture me here, surrounded by the hum of dilution refrigerators chilling qubits to near absolute zero, that eerie blue glow of superconducting circuits flickering like fireflies in a quantum storm. The air smells faintly of liquid helium, crisp and otherworldly, as I sip black coffee and unpack today's hottest discovery.

Google's warning isn't hype—it's a wake-up call grounded in Shor's algorithm run on future fault-tolerant machines. They simulated it: from a public key, derive the private one in minutes, exploiting mempool delays where transactions linger vulnerable. Why does it matter? Think of Bitcoin like a massive bank vault with millions of locks, each a public-private key pair based on the discrete logarithm problem—rock-solid against classical computers, which would take eons to brute-force. But quantum computers, with their superposition of states, try every key at once, collapsing the wavefunction to the right one faster than you can refresh your wallet app. It's like having a million monkeys at typewriters, but instead of random Shakespeare, they instantly compose the exact sonnet you need.

This echoes recent strides in error correction. QuEra's open-sourced Tsim simulator, per Quantum Zeitgeist, handles 85-qubit circuits in 600 nanoseconds on NVIDIA GH200 GPUs, turbocharging research into non-Clifford gates for real fault-tolerance. Meanwhile, University of Sydney's Dr. Dominic Williamson, on sabbatical at IBM, crafted gauge theory codes in Nature Physics—tracking global qubit states without peeking locally, slashing overhead qubits like pruning a bloated code base. QuTech's six silicon spin qubits in PRX Quantum exposed idling errors as the scalability killer, while TU Delft's compiler shaves 15% off circuit depth for distributed systems.

These aren't lab curiosities; they're the scaffolding for that nine-minute crack. Crypto has three years, tops, per experts like Nic Carter on Bankless, before post-quantum signatures become mandatory. It's dramatic: quantum's shadowy parallelism upending finance, just as it will drug discovery and climate modeling.

We've bridged the classical-quantum chasm today—stay vigilant, devs.

Thanks for tuning in, Quantum Dev Digest crew. Questions or topic pitches? Email [email protected]. Subscribe now, and remember, this is a Quiet Please Production—check quietplease.ai for more. Catch you in the superposition.

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