Lucas and Luna explore how quantum simulations are accelerating battery R&D, using the concrete example of lithium-sulfur batteries. They discuss a 2025 paper from IBM and Mercedes-Benz that used a 65-qubit quantum processor to model electron transfer in a polysulfide molecule — something classical supercomputers still struggle with at scale. The hosts explain why quantum chemistry is the most commercially relevant near-term application of quantum computing, the specific bottlenecks in battery design that quantum models can address, and why the automotive industry is pouring money into this now. They also touch on the difference between today's noisy quantum hardware and the fault-tolerant machines needed for truly revolutionary simulations. The episode closes with a donation segment tied to the value of accessible tech content.

#QuantumComputing #BatteryDesign #LithiumSulfur #IBM #MercedesBenz #QuantumChemistry #MaterialsScience #ElectricVehicles #QuantumSimulation #NoisyIntermediateScaleQuantum #NISQ #AutomotiveTech #QuantumAlgorithms #EnergyStorage #Technology #FexingoBusiness #BusinessPodcast #TechPodcast

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Lucas and Luna dig into the latest breakthrough in quantum error correction: the 'Noah' code from researchers at the University of Sydney and Yale. Unlike traditional surface codes that require thousands of physical qubits per logical qubit, Noah uses a novel concatenated approach that could cut overhead by 90%. They discuss why this matters for near-term quantum advantage, how it compares to Google's Willow chip, and what it means for the timeline of fault-tolerant quantum computing. Plus, a look at how the investment landscape for quantum error correction startups is heating up in mid-2026.

#QuantumComputing #ErrorCorrection #NoahCode #SurfaceCode #UniversityOfSydney #Yale #GoogleQuantumAI #WillowChip #LogicalQubit #FaultTolerant #QuantumSupremacy #Technology #Podcast #FexingoBusiness #BusinessPodcast #QuantumHardware #QuantumSoftware #TechTrends

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Episode 19 of The Quantum Computing Podcast with Fexingo dives into the unsung hero of quantum hardware: cryogenic packaging. Lucas and Luna explore why today's dilution refrigerators and cabling are bottlenecks for scaling quantum processors beyond 1,000 qubits. They look at how companies like Quantinuum and startup Orange Quantum Systems are tackling microwave heat leaks, coaxial cable density, and the need for cryogenic CMOS controllers. A detailed look at the thermal and engineering constraints that will determine whether quantum computers reach 10,000 qubits or stay stuck in the lab. Anchored to the current state of play in mid-2026.

#QuantumComputing #Cryogenics #CryogenicPackaging #Quantinuum #OrangeQuantumSystems #DilutionRefrigerator #QuantumHardware #ScalingQubits #CryoCMOS #QuantumEngineering #Technology #Business #FexingoBusiness #BusinessPodcast #QuantumTechnology #HardwareBottleneck #QuantumProcessors #CryoElectronics

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Venture capital investment in quantum computing startups hit $1.8 billion in the first five months of 2026, up 40% from the same period last year. Lucas and Luna break down why investors are piling in now despite quantum still being years from broad commercial viability. They look at one standout deal: the $350 million Series C for a startup called QubitCore, which is building a modular quantum processor. They discuss the shift from government lab funding to private capital, the role of early revenue proof points, and why VCs are treating quantum like an infrastructure bet rather than a moonshot. The hosts also touch on the IPO pipeline: three quantum startups are reportedly planning to go public in 2027. This episode is a sharp, grounded look at the money side of the quantum race. No hype, just the numbers and the logic behind them.

#QuantumComputing #VentureCapital #QubitCore #QuantumStartups #TechInvesting #SeriesC #ModularQuantum #QuantumHardware #IPOPipeline #InfrastructureBet #EarlyRevenue #QuantumRace #GovernmentFunding #PrivateCapital #Technology #FexingoBusiness #BusinessPodcast #StartupFunding

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Lucas and Luna dive into the unsung software layer that could make or break quantum computing: the operating system. They explore why today's quantum OS prototypes—like those from startups and national labs—are fundamentally different from classical OSes, how they juggle qubit allocation, error correction, and gate scheduling, and why a single quantum job might need to run across multiple quantum processors by 2028. The hosts unpack the specific engineering challenges, from 'quantum memory management' to 'noise-aware job scheduling,' and explain why this hidden layer is attracting investment from tech giants and VCs alike. If you've ever wondered how quantum computers actually run code, this episode is your backstage pass.

#QuantumComputing #OperatingSystems #QuantumOS #Qubits #QuantumSoftware #Technology #QuantumHardware #QuantumAlgorithms #ErrorCorrection #NoiseMitigation #QuantumProcessors #QuantumMemory #Nasdaq #GoogleQuantumAI #IBMQuantum #MicrosoftAzureQuantum #FexingoBusiness #BusinessPodcast

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Episode 16 of The Quantum Computing Podcast looks at how quantum computers are beginning to tackle climate modeling. Lucas and Luna focus on a 2026 proof-of-concept study where researchers at a European lab used a 127-qubit processor to simulate atmospheric carbon capture at a molecular level. They discuss why classical supercomputers struggle with these calculations, the specific algorithm that made the simulation possible, and what the results—published just last month—mean for climate science and investment in quantum hardware. The hosts also touch on why this application might attract government funding faster than drug discovery or finance. No hype, just the numbers and the science.

#QuantumComputing #ClimateModeling #CarbonCapture #AtmosphericScience #Qubits #MolecularSimulation #Algorithm #Technology #TechPodcast #FexingoBusiness #BusinessPodcast #2026 #EuropeanResearch #QuantumHardware #ClimateTech #Supercomputing #ProofOfConcept #QuantumAlgorithms

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In this episode of The Quantum Computing Podcast with Fexingo, Lucas and Luna explore how quantum algorithms are starting to tackle financial portfolio optimization—a problem that grows exponentially complex with each additional asset. They focus on a real-world case: a 2025 pilot where a major European bank tested a quantum-inspired algorithm on a 50-asset portfolio and found a 15% improvement in risk-adjusted returns over classical benchmarks. The hosts break down why portfolio optimization is a natural fit for quantum computing, explain key concepts like the efficient frontier and Monte Carlo simulations, and discuss the timeline for when true quantum advantage might appear in finance. They also cover the biggest hurdles: error rates, qubit coherence times, and the talent gap between quantum physicists and quantitative analysts. No hype, just a grounded look at one of the most promising commercial applications of quantum technology in 2026.

#QuantumComputing #PortfolioOptimization #FinancialTechnology #QuantumAlgorithms #EfficientFrontier #MonteCarloSimulation #RiskManagement #QuantitativeFinance #QuantumAdvantage #BankingInnovation #InvestmentStrategy #MarkowitzModel #QubitCoherence #QuantumErrorCorrection #AlgorithmicTrading #Technology #FexingoBusiness #BusinessPodcast

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In this episode of The Quantum Computing Podcast, Lucas and Luna explore why quantum sensors, not general-purpose quantum computers, are already generating commercial revenue. They examine the physics behind nitrogen-vacancy centers in diamond and the $400 million market for quantum magnetic field sensors in 2026, driven by applications in medical imaging, mineral exploration, and GPS-free navigation. The hosts walk through a real-world example: a diamond-based sensor detecting magnetic fields from a human heart at room temperature, a feat impossible with traditional superconducting quantum interference devices (SQUIDs). They also discuss how companies like Q-CTRL and Qnami are commercializing these sensors today, while full-stack quantum computers remain years away from profitability. The episode ends with a cutting remark: sensing may be the killer app that funds the industry's long march to fault-tolerant computing.

#QuantumSensors #NitrogenVacancyCenters #DiamondQuantum #Qnami #QCTRL #QuantumMagnetometry #MedicalImaging #MineralExploration #GPSFreeNavigation #SQUID #QuantumCommercialization #RoomTemperatureQuantum #SensingKillerApp #FaultTolerantQuantum #Technology #QuantumComputingPodcast #FexingoBusiness #BusinessPodcast

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Most people think quantum computers are still purely experimental machines locked in physics labs. But in 2026, pharmaceutical companies are quietly using quantum simulations to tackle a problem classical computers can't solve: modeling complex protein-ligand interactions for drug development. Lucas breaks down how Roche and Pfizer are running hybrid quantum-classical workflows, why a 50-qubit machine can outperform a supercomputer on this specific task, and what the FDA's recent guidance on quantum-assisted clinical data means for the industry. Luna questions whether the results are real enough to change how drugs reach patients, and they both examine the sobering reality that quantum drug discovery still needs thousands of logical qubits before it delivers blockbuster therapies. A grounded look at where the quantum promise meets actual pharmaceutical R&D today.

#QuantumComputing #DrugDiscovery #Pharmaceuticals #Roche #Pfizer #QuantumSimulation #ProteinFolding #QuantumChemistry #HybridQuantumClassical #FDA #ClinicalTrials #Qubits #Technology #FexingoBusiness #BusinessPodcast #QuantumHardware #QuantumSoftware #ComputationalChemistry

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Lucas and Luna explore the collision course between quantum computing and modern encryption. They focus on the specific timeline risk for RSA-2048, a standard that secures trillions of dollars in online transactions. The episode unpacks why a quantum computer with just 20 million high-fidelity physical qubits could break RSA, the sobering timeline estimates from NIST and IBM, and what post-quantum cryptography standardization means for banks, cloud providers, and everyday secure browsing. They also discuss the quiet work happening inside companies like Google and Amazon to prepare their infrastructure, and why the 'store now, decrypt later' threat is already real for long-lived data. No hype, no doomsday — just the concrete math and engineering challenges that define the next decade of computing security.

#QuantumComputing #Encryption #RSA #PostQuantumCryptography #Cybersecurity #NIST #IBM #Google #Amazon #Technology #FexingoBusiness #BusinessPodcast #FutureComputing #Qubits #QuantumHardware #DataSecurity #Crypto #LatticeBasedCrypto

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