Episode 97 of Quantum Computing Business dives into a specific fraud-detection use case: how a European retail bank used a quantum-classical hybrid system to catch fraudulent credit-card transactions in under 50 milliseconds. Lucas explains the technical architecture — a quantum annealing processor from D-Wave that solves a combinatorial optimization problem each time a card is swiped — and Luna presses on the real-world results: a 23 percent improvement in true positive rate with no increase in false positives. They also discuss the hardware bottleneck (2000 qubit limit) and why the bank went hybrid rather than pure quantum. A clear, grounded look at where quantum meets the payment rails today, not in ten years.

#QuantumComputing #FraudDetection #CreditCardFraud #DWaveSystems #QuantumAnnealing #HybridQuantum #CombinatorialOptimization #RealTimeAnalytics #BankingTechnology #Fintech #MachineLearning #PaymentFraud #QuantumBusiness #EnterpriseQuantum #Business #Technology #FexingoBusiness #BusinessPodcast

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In Episode 96, Lucas and Luna explore how quantum computing is revolutionizing structural biology. They focus on a 2025 breakthrough at the University of Chicago where a hybrid quantum-classical algorithm solved the protein-folding problem for a 200-residue enzyme in minutes instead of months. The hosts explain how variational quantum eigensolvers and quantum annealing are outperforming classical supercomputers on specific molecular configurations, and discuss the implications for drug development, with a concrete example of a previously undruggable cancer target now being addressed. They close by considering what this means for the timeline to practical quantum advantage in pharma.

#QuantumComputing #ProteinFolding #StructuralBiology #DrugDiscovery #UniversityOfChicago #HybridQuantum #VQE #QuantumAnnealing #Biophysics #CancerResearch #MolecularDynamics #QuantumChemistry #Business #Technology #FexingoBusiness #BusinessPodcast #PharmaInnovation #ComputationalBiology

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Episode 95 of Quantum Computing Business with Fexingo. Lucas and Luna explore how quantum computing is accelerating protein structure prediction — a compute problem that classical supercomputers still struggle with. They walk through the specific math: why modeling a 300-amino-acid protein involves an astronomical number of folding possibilities, and how quantum algorithms can reduce that from exponential to polynomial time. The duo highlights a concrete benchmark: in 2024, a hybrid quantum-classical system from a startup called ProteinQure predicted the structure of a small viral protein in under 4 hours, compared to 2 weeks on a classical cluster. They discuss the implications for drug discovery, the limitations of current noisy qubits, and why this could be one of the first truly practical quantum applications in biotech. No hype, just the numbers and the science.

#QuantumComputing #ProteinFolding #DrugDiscovery #Biotech #ProteinQure #ComputationalBiology #HybridQuantum #Optimization #StructuralBiology #Algorithms #QuantumAlgorithms #Business #Technology #FexingoBusiness #BusinessPodcast #QuantumBusiness #Startup #AI

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In this episode, Lucas and Luna explore how quantum computing is transforming drug safety trials by simulating protein-drug interactions at a molecular level. They focus on a concrete case: how researchers at a major pharmaceutical company used a quantum algorithm to predict a toxicity risk in a promising cancer drug candidate, avoiding a costly late-stage failure. The hosts discuss the specific quantum technique — variational quantum eigensolver — and contrast it with classical computational chemistry methods. They also touch on the economic implications: reducing the average cost of bringing a drug to market, currently estimated at over $2 billion. The episode avoids hype, instead grounding the conversation in real milestones and near-term hurdles, including qubit stability and integration with existing clinical trial workflows.

#QuantumComputing #DrugSafety #Pharmaceuticals #ClinicalTrials #VariationalQuantumEigensolver #MolecularSimulation #ComputationalChemistry #DrugDevelopment #ToxicityPrediction #QuantumAlgorithms #Business #Technology #Biotech #HealthTech #FexingoBusiness #BusinessPodcast #LucasAndLuna #QuantumDrugDesign

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Every year thousands of kidney patients die waiting for a compatible donor. The matching problem is computationally brutal: a national pool of incompatible donor-patient pairs must be swapped in cycles and chains, and the number of possible combinations explodes combinatorially. Classical computers hit a wall beyond about 30 pairs. In this episode, Lucas and Luna explore how researchers at the University of Chicago and Argonne National Laboratory are testing quantum annealers and variational quantum algorithms to solve the 'kidney exchange' problem at real-world scale. They walk through a 2025 pilot that matched 118 pairs in under three minutes on a 127-qubit IBM processor — a task that would take a classical solver over a week. The hosts discuss the biological constraints, the ethical trade-offs of algorithm-driven organ allocation, and what it means for the 100,000-plus Americans currently on the kidney wait-list. No ads, just the intersection of quantum hardware and human lives.

#QuantumComputing #KidneyExchange #OrganTransplant #HealthcareOptimization #IBMQuantum #ArgonneNationalLab #UniversityOfChicago #VariationalQuantumAlgorithm #QuantumAnnealing #ConstraintSatisfaction #CombinatorialOptimization #MedicalEthics #TransplantList #MatchingProblem #BusinessAndTechnology #FexingoBusiness #BusinessPodcast #TechForGood

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Lucas and Luna explore a specific application of quantum computing that's quietly reshaping the battery recycling industry. They focus on how quantum algorithms are being used to simulate and optimize the separation of lithium, cobalt, and nickel from end-of-life batteries at a molecular level. The episode centers on a real-world pilot from a company called Quantum Battery Solutions, which has achieved a 94% recovery rate using a variational quantum eigensolver to model chemical binding affinities. Lucas explains why classical computing hits a wall with multi-cation systems, and Luna pushes back on the scalability timeline. They discuss the economic implications: lower recycling costs, reduced mining dependency, and a potential $1.2 billion market for quantum-enabled battery recycling by 2031. The episode ends with a reflection on whether quantum advantage in materials science will arrive sooner than in finance.

#QuantumComputing #BatteryRecycling #QuantumBusiness #SustainableTech #MaterialsScience #VariationalQuantumEigensolver #LithiumRecovery #CriticalMinerals #EVSupplyChain #QuantumBatterySolutions #BusinessAndTechnology #FexingoBusiness #BusinessPodcast #QuantumAlgorithms #CircularEconomy #CleanTech #MolecularSimulation #PodcastEpisode

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Episode 91 explores how quantum computing is revolutionizing logistics route planning. Lucas and Luna dive into a real-world case study: DHL's pilot program with D-Wave Systems, which used a quantum annealer to optimize delivery routes in Berlin, cutting fuel consumption by 12 percent and reducing delivery times by 8 percent. They explain why classical computers struggle with the 'traveling salesman problem' at scale, how quantum algorithms like QAOA offer a path forward, and what this means for the $4 trillion logistics industry. The hosts also discuss the timeline for commercial adoption—currently 3 to 5 years out—and the key players, including Volkswagen's earlier quantum traffic flow optimization in Lisbon. A must-listen for supply chain professionals, tech investors, and anyone curious about where quantum's first trillion-dollar impact will come from.

#QuantumComputing #Logistics #DHL #DWave #RouteOptimization #TravelingSalesmanProblem #QAOA #SupplyChain #Berlin #Volkswagen #Lisbon #FuelEfficiency #LastMileDelivery #BusinessAndTechnology #FexingoBusiness #BusinessPodcast #QuantumAnnealing #TechInnovation

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Episode 90 dives into quantum computing's emerging role in active pharmaceutical ingredient (API) manufacturing. Lucas and Luna explore a concrete example: how a collaboration between Roche and a quantum startup used a variational quantum eigensolver to optimize a synthesis pathway for a critical cancer drug, cutting solvent waste by 32% and reducing energy costs by 18% in pilot runs. They break down why classical molecular dynamics fails for catalytic reaction mechanisms, how quantum algorithms handle the electron correlation problem, and what this means for the $1.5 trillion pharmaceutical supply chain. The hosts also discuss the hardware limitations—current noisy qubits require hybrid classical-quantum workflows—and the timeline for industrial-scale adoption. Expect specific numbers, a clear explanation of quantum chemistry's advantage, and a grounded look at where the field stands in July 2026.

#QuantumComputing #DrugManufacturing #Pharmaceuticals #Roche #APIManufacturing #VariationalQuantumEigensolver #QuantumChemistry #CatalystOptimization #SustainablePharma #ProcessChemistry #HybridQuantumClassical #NoisyIntermediateScaleQuantum #SupplyChainOptimization #GreenChemistry #BusinessAndTechnology #FexingoBusiness #BusinessPodcast #LucasAndLuna

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In this episode, Lucas and Luna explore how quantum computing is being used to optimize the Haber-Bosch process for ammonia production, a breakthrough that could cut the fertilizer industry's 2% global carbon footprint. They discuss a recent 2026 pilot at a major nitrogen plant where a hybrid quantum-classical algorithm reduced energy consumption by 15% while maintaining yield. The hosts explain the chemistry, the quantum advantage in simulating complex molecular interactions, and the economic ripple effects for food prices and supply chains. They also touch on the role of companies like D-Wave and IonQ in bringing these solutions to industrial scale. A typical episode of Fexingo Business podcast, where operators meet builders.

#QuantumComputing #Fertilizer #HaberBosch #Ammonia #Sustainability #ClimateTech #DWave #IonQ #IndustrialOptimization #Chemistry #EnergyEfficiency #Agriculture #FoodSecurity #Business #Technology #FexingoBusiness #BusinessPodcast #Episode89

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Episode 88 of Quantum Computing Business dives into a fresh frontier: urban traffic management. Lucas and Luna explore how quantum algorithms are being tested to optimize traffic light timing and reduce congestion in real time, using a pilot project in the city of Cambridge, UK. They discuss the specific quantum annealing approach from D-Wave, how it compares to classical heuristics, and why even a 10-15% reduction in wait times could save millions of gallons of fuel annually. The hosts also touch on integration challenges with existing traffic sensors and the potential for hybrid classical-quantum systems. A concrete look at one of the most tangible near-term applications of quantum computing in public infrastructure.

#QuantumComputing #TrafficOptimization #SmartCities #DWave #Cambridge #UrbanPlanning #QuantumAnnealing #HybridComputing #Transportation #Business #Technology #FexingoBusiness #BusinessPodcast #QuantumTech #Congestion #PublicInfrastructure #RealWorldQuantum #CityPlanning

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