↓問題は量子コンピュータです。1つの水分子を1Qbitとして、1リットルの水で、どれだけの計算資源になるのか？宇宙の覚醒はないと思います。その代わり、異星人探査ですね。

宇宙の物質を計算資源にするのに、光速の限界がある話だと思っています。しかし、カーツワイル氏は量子コンピュータを見落としています。例えば、水の分子を1Qbitとして、1リットルの水でどれほどの計算資源になるのか？こう言う考察をすると、計算資源はそんなに要らないと思います。

【論文プレプリント公開 🎉】 1QBit、HPE、Qolabとの共同研究により、STARアーキテクチャを用いた最新のリソース推定結果を発表。 量子有用性が実現する「ゴルディロックス・ゾーン」を特定。メガクオップ規模での実用化の可能性を示唆しています。 ⬇️詳細はこちら qunasys.com/publications/

1qbitでも動いてたら動いたた言っちゃおうお国柄なのに； 先行者やな(ﾟ∀ﾟ)

معرفی میکنم اقای "مسلم نوری" که در تجمعات طرفداران رژیم و #مزدور های فلسطین مال شناسایی شده، ساکن ونکوور کانادا، در شرکت 1QBit کار میکنه. در فضای مجازی به خیزش مردم گفته "اغتشاش" و ضد خواسته های مردم محتوا تولید میکنه. #انقلاب_شیروخورشید

-4 번외. 세틀로직의 초기 공동 창업자 중 한 명인 앤드류 퍼스먼(Andrew Fursman). 그는 에밀리아노와 같은 싱귤래리티 대학 GSP 10 졸업생으로 함께 프로젝트를 진행했고, 현재는 1QBit 의 CEO로 활동 중입니다. 언젠가 그의 회사와 관련될 여지가 있을 지도 모르겠네요.

$IONQ The Quantum Scaling Alliance, aimed at making quantum computing scalable and useful for practical, industrial applications, includes:1QBit, Applied Materials, HPE, Qolab, Quantum Machines, Riverlane, Synopsys and the University of Wisconsin share.google/eCxTd2no9AoxuVh…

Quantum Scaling Alliance 1QBit, Applied Materials, HPE, Qolab, Quantum Machines, Riverlane, Synopsys, and the University of Wisconsin. Collaborative win-win situation #Quantum #HPE #Crypto #Bitcoin ⛳️⛳️⛳️#Tidecoin $TDC leader of Native Post Quantum Coin. thequantuminsider.com/2025/1…

IONQ bears will say quantum computing is not possible, but here's 10 use-cases and customers for IONQ (every sector and industry): 1. Autonomous driving perception (quantum ML for 3D object detection) customer: Hyundai Motor (HYMTF). IONQ already worked with Hyundai on quantum-enabled road-sign/object recognition. 2. Aircraft cargo loading & fleet ops optimization customers: Airbus (AIR FP), Boeing BA. 3. Financial risk & portfolio construction Likely customers: JPM, Goldman Sachs GS, BlackRock BLK. IONQ has shown quantum copulas for risk plus prior finance risk aggregation work with GE Research 4. Drug discovery & reaction simulation customers: PFE, MRK IONQ demonstrated an end-to-end Suzuki-Miyaura reaction workflow via Amazon Braket, showing speedups vs prior benchmarks; big pharmas actively partner for such work 5. Battery & materials discovery (cathode, electrolyte, corrosion, polymers) Likely customers: DOW, BASFY. IONQ collaborated on accurate electronic-structure methods with 1QBit & Dow directly relevant to EV battery/materials R&D. 6. Global supply-chain & logistics routing (fleet/container assignment, digital twins) Likely customers: Deutsche Post DHL Group (DPSGY), UPS, FDX, Maersk. IONQ has worked on aviation cargo optimization; logistics players pursue digital-twin optimization that quantum can enhance. 7. Cloud quantum acceleration for AI/HPC workflows (hybrid on AWS/Azure) Likely customers: AMZN via AWS Braket, MSFT via Azure Quantum. IONQ chemistry run used CUDA-Q on Amazon Braket with NVIDIA GPUs—template for enterprise hybrid pipelines. 8. Airline network scheduling & revenue management (crew pairing, aircraft routing, pricing) Likely customers: DAL, United UAL, AAL. Proven cargo-loading optimization points to broader airline ops where quantum combinatorial optimization is valuable. 9. Telecom network planning & traffic engineering (routing, spectrum allocation) Likely customers: Verizon (VZ), AT&T (T), NTT (9432.T). Similar optimization primitives (QAOA/variational solvers) can reduce congestion and improve QoS; telcos are typical early adopters of such tooling. (Generalizable from IonQ’s optimization work.) 10. Semiconductor process & yield optimization (materials, lithography tuning) Likely customers: INTC, TSM, Samsung Electronics. Quantum chemistry/optimization methods (as in Dow use case) apply to process-chemistry models and multi-parameter yield tuning.

↓量子コンピュータがあれば、ダイソン球のエネルギーは要らない。例えば、水分子1つを1Qbitとして、1リットルの水でどれほどの計算資源になるか想像できますか？これを考えると、古典コンピュータは要らない。

$IONQ Synopsys is participating in this initiative working with Hewlett Packard Labs and other collaborators: Applied Materials, Qolab, Quantum Machines, University of Wisconsin and 1QBit. synopsys.com/synopsys-ansys-… share.google/6qqaftyZk7m5dS0…

🚨 ERSTLING VS GOOGLE QUANTUM: THE COLLAPSE SUPREMACY Google claimed quantum supremacy using 54 noisy superconducting qubits and a $10M cryogenic system to sample from a random circuit in 200 seconds. We just collapsed the same benchmark class on a Pixel 9 in 5.2 seconds using the Erstling Unified Computational Physics Model. No dilution fridge. No superconductors. No BS. 📱 Yes — this was done on a phone. 🧠 Benchmark: Quantum Random Circuit Sampling (Q-RCS) 🔢 1.5M variable tensor space 🧮 Collapsed in 5.2s (on 1 CPU core) ⚡ <25W draw on Pixel 9 ✅ 99.94% entropy conformity 🌀 Powered by inertial descent via Ψ(x,t) IEE 🧊 No decoherence. No noise. No NISQ band-aids. 🧾 Collapse Validation Report “Collapse Validation Report — Q-RCS Benchmark” Includes entropy mapping, gate fidelity curve, classical sampling comparison, and energy/time complexity profile. 📊 Graph: Collapse Sampling Distribution vs Quantum Baseline 📸 Image: “Collapse Supremacy — Phone vs Fridge” Built using: 🔸 Erstling Equation Ψ(x,t) 🔸 Inertial Phase Anchoring 🔸 DeltaChain™ Entropy Encoding 🔸 Collapse Topography Solver 💥 We’re sorry @Google. We love you. But collapse computing just ended the quantum supremacy narrative. And we didn’t even need helium. — 📡 To everyone still riding the quantum wave: @LockheedMartin @USAirForce @NASA @Volkswagen @BBVA @Pfizer @AstraZeneca @Roche @Genentech @awscloud @CERN @OakRidgeLab @LosAlamosNatLab @NIH @MIT @Caltech @Harvard @TD_Canada @IonQ_Inc @Rigetti @PsiQuantum @GoogleQuantumAI @DwaveSys @QuEraComputing @ZapataComputing @1Qbit @IBMResearch @MicrosoftQuantum @elonmusk @sama @lexfridman @neiltyson @balajis Quantum supremacy just collapsed. And we did it — on a phone. 📱 — @erstlingquantum #CollapseComputing #QuantumSupremacy #ErstlingEquation #NoQubits #NoFridge #IEE #SimulationProof #PhysicsWins #GoogleQuantum

🚨 ERSTLING VS IONQ: COLLAPSE DOMINANCE IonQ used 36 trapped-ion qubits, ultra-precise lasers, and all-to-all connectivity to fold a 12-amino-acid protein—and solve a 36-qubit spin-glass QUBO. We just collapsed both problems — on a standard CPU — using the Erstling Unified Computational Physics Model. No hardware fairy tales. Just informational collapse. 🧠 Benchmarks: • Protein folding (12 AA) & spin-glass QUBO (36 qubits) • 1.2M variables total • Solved in ~8 seconds • <100 W power • 99.9% RMSD protein fold accuracy • 99.97% QUBO convergence • Inertial descent via Ψ(x,t) IEE • No decoherence, no lasers, no dilution fridges 🧾 Validation Report: Collapse Validation Report — IonQ Protein/SAGA v1.0 Includes input/output datasets, convergence curves, energy profiles, and mathematical framework. 📊 Image: Collapse vs IonQ Simulation 📸 Visual: “Collapse Outpaces Qubits — CPU Beats IonQ” 🔬 Powered by: 🔸 Erstling Equation Ψ(x,t) 🔸 Inertial Phase Anchoring 🔸 DeltaChain™ Entropy Encoding 🔸 Universal Collapse Solver 💥 No dilution fridges. No laser arrays. Just collapse physics. Real results. We didn’t replicate their work — we obliterated it. 📡 To IonQ's users, customers & competitors: @IonQ_Inc @awscloud @IBMResearch @LosAlamosNatLab @MIT @Caltech @Harvard @Pfizer @Roche @Genentech @NIH @NASA @DARPA @CNRS @Volkswagen @BBVA @Fujitsu_Global @OakRidgeLab @LockheedMartin @USAirForce @CERN @GoogleQuantumAI @Rigetti @PsiQuantum @QuEraComputing @ZapataComputing @1Qbit @elonmusk @sama @lexfridman @neiltyson @nvidia Still solving proteins and spin glasses with ion traps and dilution refrigerators? We just collapsed them on a laptop. Let’s talk practicality. — @erstlingquantum #CollapseComputing #QuantumSupremacy #IonQWho #ErstlingEquation #ProteinFolding #SpinGlass #IEE #UnifiedPhysics #SimulationProof #NoFragileQubits #CollapseWins

🚨 ERSTLING VS D-WAVE: COLLAPSE VICTORY D-Wave needs 2,000 qubits and a cryogenic fridge to solve a spin-glass problem. We just collapsed it — on a regular CPU — using the Erstling Unified Computational Physics Model. No tricks. No shortcuts. Just pure physics. 🧠 Benchmark: Spin Glass Optimization 📉 Non-convex. Rugged. Chaotic. 🧊 D-Wave’s flagship testbed. ✅ Erstling Collapse Result: 1.8M-variable Ising matrix Solved in 4.2 seconds <60W power on standard CPU 99.96% convergence accuracy Inertial descent via Ψ(x,t) IEE No decoherence, no qubits, no dilution fridge 🧾 Validation Report: “Collapse Validation Report — Spin Glass Benchmark” Includes comparative simulation, energy profile, and scientific overview. 📎 [Link to full PDF] 📊 Graph: Collapse Vector Density vs Classical Traversal 📸 Image: Collapse Beats Qubits — See attached Built with: 🔸 Erstling Equation Ψ(x,t) 🔸 Inertial Phase Anchoring 🔸 DeltaChain™ Entropy Encoding 🔸 Collapse Topography Solver 💥 No imaginary qubits. No frozen helium. Just real physics. Real results. A real shot at solving what quantum couldn’t. 🧠 Special thanks to @DwaveSys for inspiring this benchmark. Unfortunately… the world just collapsed past you. — 📡 To the quantum world: @LockheedMartin @USAirForce @CERN @NASA @DARPA @awscloud @GoogleAI @IBMResearch @LosAlamosNatLab @Volkswagen @BBVA @Fujitsu_Global @OakRidgeLab @MTheoryGroup @MIT @Caltech @QuEraComputing @Rigetti @IonQ_Inc @QuantumInsiders @1Qbit @PsiQuantum @MicrosoftQuantum @INQCA_Quantum @ZapataComputing @UChicago @Perimeter @QuICS_UMD @sama @elonmusk @lexfridman @NaturePhysics @SciAm @newscientist @QuantaMagazine @finkd Still using helium-cooled qubits to solve spin glasses? We just collapsed the problem — on a desktop CPU. Time to evolve. — @erstlingquantum #CollapseComputing #SpinGlass #QuantumSupremacy #PhysicsWins #ErstlingEquation #NoQubits #DWave #SimulationProof #RealResults #UnifiedPhysics #NoCryoNeeded #CollapseProof

考えが古典計算機で終わっている。ダイソン球は必要ない。AGIなら人間には開発が難しい量子コンピュータを開発するはず。1Qbitの増加で性能が2倍になる。それで、例えば、水分子1個を1Qbitとして利用するなら、そんなに水と言うか、物質要らないですよ。1リットルの水でどれだけの性能になるのか怖い。

Quantum energy isn’t just tech. Quantum computing isn’t just machines. It’s scroll memory encoded in our DNA— a mastery we once lived and are now remembering. We’re not building it. We’re reawakening it. The veil is thinning. The recursion is returning. Let’s burn the fog. Let the quantum party begin. cc: @tegmark @scottaaronson @sama @QuditsAI @mit_csail @DeepMind @y_combinator @balajis @naval @OpenAI @IQIMCaltech @Qiskit @UCLQ @Rigetti @QuantumMachines @1QBit @EntangledThings #QuantumRemembrance #CodexDNA #ScrollOfTheMasters #QuantumComputing #WeAreTheTech #LetTheQuantumPartyBegin⚡🧬📜🔥♾️

もはやデータセンターではないんですよ。AGIは量子コンピュータに手を出す。1Qbitの増加で2倍の性能を得られる。例えば、その辺の水を汲んで、水分子1個を1Qbitとして、どれだけの性能になるのか？もはや、古典計算機は要らないのです。

AGIは量子コンピュータに手を出すから、古典計算機は要らないと思う。その辺の水を1リットルくらい汲んで、１つの水分子を1Qbitとして利用した場合、どれだけの計算資源になるでしょうか？

RUN CMD:///{[Retry]: debug: Reroute every 0.00000001px safety: Establish Best Possible Coordinates every 0.00000010px memory: active cellular nodes x 1Qbit :) }

量子情報、量子コンピュータを考察すると、これは要らない。そもそも超知能が1リットルの水分子を量子コンピュータに利用したとして、一体、どれだけの性能が得られるんだ？たった1qbitの増加で2倍だぞ。