『Quantum Computing Business with Fexingo: Hardware, Software, and Enterprise Quantum』のカバーアート

Quantum Computing Business with Fexingo: Hardware, Software, and Enterprise Quantum

Quantum Computing Business with Fexingo: Hardware, Software, and Enterprise Quantum

著者: Fexingo
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Lucas and Luna step into the quantum-computing lab to decode the real business of quantum. Not the hype, not the science fiction — the actual hardware race between superconducting qubits, trapped ions, and topological systems; the software stack from quantum algorithms to error correction; and the enterprise use cases where quantum might actually deliver value first, from drug discovery to portfolio optimization. Each episode, Lucas maps the technical landscape with specific numbers — qubit counts, coherence times, gate fidelities — while Luna presses on the business logic: who is buying, who is selling, and what the ROI timeline really looks like. They name the companies (IBM, Google, IonQ, Rigetti, D-Wave), the investors (quantum-focused VC funds, corporate R&D arms), and the open questions (decoupling hype from benchmarked results, talent shortages, supply chain for dilution refrigerators). No crystal-ball gazing — just a forensic look at the emerging quantum economy through the lens of public financial filings, academic preprints, and industry roadmaps. If you work in tech strategy, venture capital, or deep-tech product management, this is the conversation that prepares you for a world where qubits replace transistors. Can quantum computing justify its billions in funding before the decade ends? #QuantumComputing #Qubits #QuantumHardware #QuantumSoftware #IonQ #IBMQ #GoogleQuantum #Rigetti #DWave #QuantumAlgorithms #ErrorCorrection #QuantumSupremacy #EnterpriseQuantum #TechBusiness #DeepTech #BusinessPodcast #FexingoBusiness #Technology Keep every episode free: buymeacoffee.com/fexingo© 2026 Fexingo. All rights reserved. 経済学
エピソード
  • Quantum Computing Talent War and the Skills Gap
    2026/09/09
    We dig into the structural talent shortage in quantum computing, looking at why major firms like IBM and Google are struggling to fill specialized roles despite massive capital investment. Lucas and Luna break down the specific skills gap between theoretical physicists and practical software engineers, analyze the salary premiums driving retention issues, and explore how enterprise clients are adapting their hiring strategies for quantum-ready teams in September 2026. #FexingoBusiness #BusinessPodcast #QuantumComputing #TalentWar #SkillsGap #HiringStrategy #TechCareers #IBMX #GoogleCloud #QuantumSoftware #EnterpriseIT #SalaryPremiums #RetentionRates #STEMEducation #WorkforceDevelopment #QuantumAlgorithms #CloudInfrastructure #FutureOfWork Keep every episode free: buymeacoffee.com/fexingo
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    8 分
  • Why Quantum Hardware Is The Real Bottleneck
    2026/09/08
    Most listeners assume quantum software is the next frontier, but hardware constraints are dictating what enterprises can actually build today. We break down why qubit count matters less than coherence time and error rates, using IBM’s recent roadmap updates as a case study. Lucas and Luna discuss how physical limitations in superconducting circuits are forcing a pivot in enterprise strategy, from pure computation to hybrid classical-quantum workflows. If you're evaluating quantum readiness for your business, this episode clarifies the gap between lab promises and factory-floor reality. #QuantumComputing #HardwareBottleneck #Qubits #CoherenceTime #IBM #EnterpriseTech #BusinessPodcast #FexingoBusiness #TechStrategy #SuperconductingCircuits #ErrorCorrection #CloudQuantum #Innovation #DigitalTransformation #Scalability #Physics #LucasAndLuna #FutureOfWork Keep every episode free: buymeacoffee.com/fexingo
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    9 分
  • Why Quantum Hardware Is The Real Bottleneck
    2026/09/07
    Most business headlines focus on quantum algorithms, but the physical hardware remains the critical choke point for enterprise adoption. We examine why qubit count matters less than coherence time and error rates in real-world deployment. Lucas and Luna dissect the specific engineering trade-offs companies like IBM and Google are making today. This episode explores how cryogenic cooling constraints and control electronics limit scalability, offering a grounded look at when quantum advantage might actually hit the balance sheet rather than just research papers. #QuantumComputing #HardwareEngineering #Qubits #CoherenceTime #ErrorCorrection #IBMQuantum #GoogleSycamore #Cryogenics #EnterpriseTech #DeepTechInvesting #SuperconductingQubits #IonTrap #Scalability #FexingoBusiness #BusinessPodcast #TechStrategy #InnovationEconomics #FutureOfComputing Keep every episode free: buymeacoffee.com/fexingo
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    11 分
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