• How Quantum Computing Is Simulating Nuclear Fusion Plasmas
    2026/07/21
    Episode 125 takes you inside fusion energy research, where quantum computing is starting to simulate the turbulent plasma behavior that has stumped classical supercomputers for decades. Lucas and Luna break down a specific 2025 experiment from a team at the Max Planck Institute for Plasma Physics, which used a hybrid quantum-classical algorithm to model particle collisions in a tokamak. They explain why plasma turbulence is so hard to compute classically, how quantum bits can represent the many-body wavefunction exponentially more efficiently, and what fusion scientists are learning from today's noisy intermediate-scale quantum processors. The episode also touches on partnerships between fusion startups like Commonwealth Fusion Systems and quantum hardware companies like IonQ, and why the road to a commercial fusion reactor may run through a quantum data center first. No hype, just the concrete physics and the specific benchmarks that matter. #QuantumComputing #FusionEnergy #NuclearFusion #PlasmaPhysics #Tokamak #MaxPlanckInstitute #CommonwealthFusionSystems #IonQ #HybridQuantumClassical #QuantumSimulation #ManyBodyProblem #PlasmaTurbulence #NISQ #EnergyResearch #CleanEnergy #BusinessAndTechnology #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo
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    11 分
  • How Quantum Computing Is Optimizing Airport Operations
    2026/07/21
    In this episode, Lucas and Luna explore how quantum computing is transforming airport operations, from gate assignment to baggage routing. They dive into a real-world pilot project at a major European hub where a quantum algorithm reduced passenger connection times by 18 percent and cut fuel usage for ground vehicles by 12 percent. The discussion covers the specific optimization challenges airports face, why classical computing struggles with them, and how quantum annealing offers a practical edge today. Lucas breaks down the partnership between the airport and a startup called Q-Ctrl, and Luna questions the scalability and cost barriers. They also touch on how this technology could ripple into broader logistics networks. If you're curious about where quantum meets concrete business operations, this episode gives you a focused, data-rich look at one of the most promising near-term use cases. #QuantumComputing #AirportOperations #LogisticsOptimization #Qubit #QuantumAnnealing #BusinessTechnology #Aviation #Startup #Q-Ctrl #Gorilla #PilotProject #EdgeComputing #ClassicalVsQuantum #SupplyChain #OperationsResearch #Efficiency #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo
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    8 分
  • How Quantum Computing Is Transforming Carbon Capture
    2026/07/20
    In this episode, Lucas and Luna explore how quantum computing is accelerating the discovery of novel materials for carbon capture. They dive into a specific case: IBM's work with a team at the University of Toronto, where quantum simulations helped identify a promising metal-organic framework (MOF) that could capture CO2 with 40% less energy than current methods. The episode breaks down how quantum computers model molecular interactions that classical computers struggle with, and what this means for scaling direct air capture technology. Lucas explains the key number: a 40% energy reduction could slash the cost of capturing a ton of CO2 from $600 to under $350. Luna raises the practical question of whether these quantum-designed materials can be manufactured at industrial scale. The conversation also touches on the role of hybrid classical-quantum algorithms and the timeline for commercial deployment. A focused, numbers-driven look at one of the most promising applications of quantum computing in climate tech. #QuantumComputing #CarbonCapture #ClimateTech #IBM #UniversityOfToronto #MOF #DirectAirCapture #CO2 #EnergyReduction #HybridAlgorithms #MaterialScience #Sustainability #BusinessAndTechnology #Business #Technology #FexingoBusiness #BusinessPodcast #Innovation Keep every episode free: buymeacoffee.com/fexingo
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    9 分
  • How Quantum Computing Is Revolutionizing Logistics and Fleet Routing
    2026/07/20
    In this episode, Lucas and Luna explore how quantum computing is tackling one of the most computationally expensive problems in logistics: vehicle routing. They dive into a real-world pilot by DHL, which used a quantum-inspired algorithm from D-Wave Systems to optimize delivery routes for a fleet of 25 trucks in Berlin. The result? A 12% reduction in total distance traveled and a 9% drop in fuel costs, without any new hardware or drivers. The hosts break down why classical computers struggle with 'combinatorial explosion' as fleet sizes grow, and how quantum annealing can explore millions of route permutations simultaneously. They also discuss the limitations — current quantum hardware still has too few qubits to handle nationwide fleets, and hybrid classical-quantum approaches are the bridge for now. The episode closes with a look at what needs to happen for quantum logistics to scale: better error correction, more qubits, and tighter integration with existing supply-chain software. If you work in operations, supply chain, or logistics tech, this is the edge case to watch. #QuantumComputing #Logistics #FleetRouting #DHL #DWave #QuantumAnnealing #SupplyChain #Optimization #Berlin #LastMileDelivery #CombatorialExplosion #HybridQuantum #VehicleRoutingProblem #BusinessAndTechnology #FexingoBusiness #BusinessPodcast #EmergingTech #QuantumBusiness Keep every episode free: buymeacoffee.com/fexingo
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    9 分
  • How Quantum Computing Is Simulating Battery Electrolytes
    2026/07/19
    Episode 121 of Quantum Computing Business with Fexingo. Lucas and Luna dive into a specific application: using quantum computers to simulate electrolytes for next-generation batteries. They focus on a 2024 study by researchers at IBM and Daimler that used a 7-qubit quantum processor to model lithium-ion electrolyte molecules — a task classical computers struggle with due to quantum entanglement in the solvent. Lucas explains why electrolyte simulation matters for battery energy density and safety, referencing the 2025 joint venture between Volkswagen and IonQ to simulate solid-state battery materials. Luna presses on the timeline to practical advantage: current noisy devices can handle only tiny molecules (like LiBF4), but error-corrected machines could simulate full electrolyte systems by 2030. The hosts also touch on how quantum Monte Carlo methods are being used to benchmark results against classical approximations. No hype, just a grounded look at one narrow but critical materials-science problem. #QuantumComputing #BatteryResearch #Electrolytes #MaterialsScience #IBM #Daimler #Volkswagen #IonQ #LiBF4 #QuantumChemistry #ErrorCorrection #SolidStateBatteries #EnergyStorage #ClassicalBenchmarks #BusinessAndTechnology #FexingoBusiness #BusinessPodcast #QuantumSimulation Keep every episode free: buymeacoffee.com/fexingo
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    9 分
  • Quantum Computing Is Rewriting the Rules of Encryption
    2026/07/19
    Quantum computers threaten to break the encryption that secures most of the internet. In this episode, Lucas and Luna explore the looming 'cryptopocalypse' — and what's being done about it. They walk through how Shor's algorithm works in principle, why a fault-tolerant quantum computer of roughly 20 million qubits could crack RSA-2048, and why experts at NIST are racing to standardize post-quantum cryptography by 2027. They look at real migration efforts: Apple's PQ3 protocol for iMessage, Signal's early experiments with hybrid key exchange, and the U.S. government's mandate to transition federal systems by 2035. The hosts also discuss why today's data is already being stolen and stored for future decryption — a tactic known as 'harvest now, decrypt later.' A concrete, sobering look at the biggest cybersecurity shift since the invention of public-key cryptography. #QuantumComputing #PostQuantumCryptography #Cryptography #ShorsAlgorithm #NIST #RSA #Encryption #Cybersecurity #ApplePQ3 #Signal #HarvestNowDecryptLater #BusinessAndTechnology #Podcast #TechPolicy #DataSecurity #FexingoBusiness #BusinessPodcast #QuantumThreat Keep every episode free: buymeacoffee.com/fexingo
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    11 分
  • How Quantum Computing Is Optimizing Portfolio Risk Management
    2026/07/18
    Episode 119 of Quantum Computing Business with Fexingo explores how quantum algorithms are reshaping portfolio risk management in finance. Lucas and Luna examine a real-world case: JPMorgan Chase's early experiments with quantum Monte Carlo methods for value-at-risk calculations. They break down why classical computing struggles with the combinatorial explosion of correlated assets, and how quantum computers can sample thousands of scenarios in parallel, cutting computation time from hours to seconds. The hosts discuss the current hardware limitations—noisy qubits, error correction, qubit count—and why hybrid classical-quantum approaches are the near-term reality. They also touch on the broader implications: if risk models improve, banks can reduce capital buffers, freeing up billions for lending or investment. The episode avoids hype, focusing on what's actually being tested in labs today and the milestones needed for production deployment. #QuantumComputing #PortfolioRisk #JPMorgan #ValueAtRisk #MonteCarlo #Finance #RiskManagement #HybridQuantum #NoisyQubits #ErrorCorrection #QubitCount #CapitalBuffers #Business #Technology #FexingoBusiness #BusinessPodcast #QuantumFinance #RiskModeling Keep every episode free: buymeacoffee.com/fexingo
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    10 分
  • How Quantum Computing Is Uncovering Financial Fraud in Real Time
    2026/07/18
    Fraud detection is a trillion-dollar game of cat and mouse. In episode 118 of Quantum Computing Business with Fexingo, Lucas and Luna dive into how quantum machine learning is starting to spot patterns that classical systems miss — and why JPMorgan Chase and others are already running quantum models on live transaction data. They walk through a specific use case from fraud analytics startup IonQ’s partnership with a European bank: flagging synthetic identity fraud using quantum kernel methods. Lucas explains the key advantage — quantum feature maps can represent high-dimensional correlations in ways that classical support vector machines cannot. Luna challenges him on the hardware reality: current noisy quantum processors limit the feature space to about 20 qubits, which isn't enough for full-scale production. But the takeaway is concrete: hybrid classical-quantum models are already showing a 15-20% improvement in recall for the hardest-to-detect fraud types. No hype, just the engineering and business trade-offs. #QuantumComputing #FraudDetection #JPMorganChase #IonQ #QuantumMachineLearning #SyntheticIdentityFraud #FinancialCrime #BusinessAndTechnology #QuantumKernelMethods #HybridQuantumClassical #MachineLearning #BankingTechnology #Cybersecurity #FexingoBusiness #BusinessPodcast #EnterpriseQuantum #QuantumFinance #ModelRisk Keep every episode free: buymeacoffee.com/fexingo
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    10 分