Episode 57 of Quantum Computing Business with Fexingo. Lucas and Luna explore how quantum algorithms are being used to optimize extreme ultraviolet lithography for chip manufacturing. The episode centers on a partnership between a quantum startup and a major chip equipment maker, focusing on the specific problem of mask design optimization. They discuss how quantum annealing can solve complex diffraction pattern calculations that classical computers struggle with, potentially reducing defect rates and time to tape-out. The hosts also touch on the economic stakes: even a one percent yield improvement in advanced nodes can be worth hundreds of millions of dollars per fab. No hype, just a look at a specific, measurable application of quantum computing in semiconductor production.

#QuantumComputing #Semiconductor #Lithography #EUV #ChipManufacturing #QuantumAnnealing #MaskOptimization #YieldImprovement #D-Wave #ASML #BusinessAndTechnology #FexingoBusiness #BusinessPodcast #TechnologyPodcast #QuantumTech #Hardware #Software #EnterpriseQuantum

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Episode 56 explores how quantum machine learning is being applied to real-time fraud detection in financial transactions. Lucas and Luna examine a specific case: JPMorgan Chase's quantum-inspired algorithm that processes transaction patterns in milliseconds, reducing false positives by 23% in a 2025 pilot. They discuss the hybrid classical-quantum architecture, the challenge of scaling beyond 100 qubits, and why banks are investing $2.3 billion in quantum fraud detection by 2026. Concrete numbers and a clear angle on a topic not covered before.

#QuantumComputing #FraudDetection #JPMorgan #QuantumMachineLearning #BusinessAndTechnology #FexingoBusiness #BusinessPodcast #FinancialServices #RealTimeAnalytics #HybridQuantum #Qubits #FalsePositives #TransactionMonitoring #Cybersecurity #ArtificialIntelligence #BankingInnovation #RiskManagement #QuantumAlgorithms

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Episode 55 dives into the use of quantum computing for protein folding, a problem that classical computers struggle with due to exponential complexity. Lucas and Luna explore how quantum algorithms are being applied to predict protein structures faster and more accurately, with implications for drug discovery and personalized medicine. They discuss a recent breakthrough from a startup that used a hybrid quantum-classical system to fold a small protein in hours instead of days, and what that means for the pharmaceutical industry. The episode also touches on the economics of quantum protein folding, including the potential to reduce R&D costs and accelerate clinical trials. A behind-the-scenes moment reveals how listener support through Buy Me a Coffee helps keep the show ad-free and focused on deep dives like this one.

#QuantumComputing #ProteinFolding #DrugDiscovery #Pharma #Biotech #QuantumAlgorithms #HybridQuantumClassical #MolecularDynamics #ComputationalBiology #RDCosts #PersonalizedMedicine #FexingoBusiness #BusinessPodcast #BusinessAndTechnology #Startup #Innovation #LucasAndLuna #Episode55

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Genome sequencing costs have plunged from $100 million in 2001 to under $200 today, but analyzing the data remains expensive and slow. In this episode, Lucas and Luna explore how quantum computing is starting to change the economics of genomics — specifically the computational bottleneck of variant calling and alignment. They walk through a real example: how a single human genome generates 200 gigabytes of raw data, and how quantum algorithms could reduce analysis time from hours to minutes at a fraction of the energy cost. They also discuss partnerships between quantum hardware startups and genome centers, the role of hybrid classical-quantum workflows, and why this matters for personalized medicine timelines. Plus, a brief note on why this show remains ad-free and how listeners can support it.

#QuantumComputing #Genomics #GenomeSequencing #Bioinformatics #PersonalizedMedicine #DrugDiscovery #HealthcareTech #BusinessAndTechnology #FexingoBusiness #BusinessPodcast #QuantumAlgorithms #VariantCalling #DNA #Illumina #IONQ #Rigetti #Deloitte #HypeCycle

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Episode 53 of Quantum Computing Business with Fexingo dives into how quantum computers are starting to solve real chemical catalyst design problems that classical supercomputers can't crack. Lucas and Luna walk through a specific case: designing a better catalyst for the Haber-Bosch process, which produces ammonia fertilizer and consumes about 2% of global energy. They discuss how companies like BASF and D-Wave are collaborating on quantum simulation of nitrogenase enzymes, and why even noisy intermediate-scale quantum (NISQ) devices are already delivering useful chemistry results. The episode also touches on the economic incentives—cutting energy costs in fertilizer production is a multi-billion-dollar prize. No hype, just a grounded look at where the science stands as of mid-2026.

#QuantumComputing #ChemicalCatalyst #HaberBosch #Ammonia #BASF #Dwave #Nitrogenase #NISQ #MaterialsScience #GreenChemistry #Fertilizer #EnergyEfficiency #QuantumSimulation #BusinessAndTechnology #FexingoBusiness #BusinessPodcast #EnterpriseQuantum #RAndD

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In episode 52 of Quantum Computing Business with Fexingo, Lucas and Luna explore how quantum computing is accelerating carbon capture research. They focus on a specific case: the use of variational quantum eigensolvers (VQE) to simulate molecular interactions for novel solvents. The hosts break down a recent paper from the University of Toronto that used a 12-qubit processor to model a promising amine-based solvent, cutting simulation time from weeks to hours. They discuss the implications for industrial carbon capture, the role of hybrid quantum-classical algorithms, and what this means for companies like Shell and Carbon Engineering. Lucas also explains why quantum's advantage in this space isn't just speed but the ability to explore chemical space classical computers can't reach. The episode closes with a reflection on the long road from simulation to deployment in the climate tech sector.

#QuantumComputing #CarbonCapture #ClimateTech #VQE #UniversityOfToronto #Shell #CarbonEngineering #MolecularSimulation #HybridQuantumClassical #AmineSolvents #ChemicalResearch #BusinessAndTechnology #FexingoBusiness #BusinessPodcast #SustainableTech #Innovation #QuantumAlgorithms #ClimateChange

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In this episode of Quantum Computing Business with Fexingo, Lucas and Luna explore how quantum computing is being used to optimize the integration of renewable energy sources into the power grid. Using the concrete case of Germany’s transmission system operator, Tennet, the hosts break down how quantum algorithms are solving the challenge of balancing supply and demand with high levels of solar and wind energy. Lucas explains the math behind the ‘unit commitment’ problem and how D-Wave’s quantum annealers have demonstrated a 20% improvement in grid scheduling efficiency in a pilot project. Luna raises important questions about scalability and the timeline for real-world deployment. The episode avoids hype and focuses on a specific, measurable application that listeners can point to as a genuine business use case for quantum computing today.

#QuantumComputing #RenewableEnergy #GridOptimization #Tennet #D-Wave #EnergyGrid #QuantumAnnealing #UnitCommitment #CleanEnergy #BusinessAndTechnology #FexingoBusiness #BusinessPodcast #QuantumAlgorithms #SolarEnergy #WindEnergy #EnergyTransition #GridStability #QuantumPilot

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On this milestone 50th episode of Quantum Computing Business with Fexingo, Lucas and Luna explore how quantum computers are transforming the cybersecurity insurance underwriting process. They examine how insurers are beginning to use quantum-enhanced risk models to price premiums for companies vulnerable to quantum decryption threats. The episode focuses on the specific case of Lloyd's of London syndicates trialing quantum monte carlo simulations to calculate aggregate exposure from a future quantum attack on public key infrastructure. Lucas breaks down why traditional actuarial models fail to capture the fat-tail risk of a cryptographic break, and how quantum sampling can produce more granular loss distributions. Luna challenges whether the data inputs are reliable enough yet, and they discuss the chicken-and-egg problem of modeling a threat that hasn't fully materialized. The episode also touches on the emerging role of quantum risk officers and the potential for a 'quantum exclusion clause' in standard cyber policies. This is a forward-looking look at how the insurance industry is preparing for the quantum era.

#QuantumComputing #Cybersecurity #Insurance #Underwriting #LloydsOfLondon #QuantumRisk #MonteCarlo #PublicKeyInfrastructure #Cryptography #QuantumDecryption #CyberInsurance #RiskModeling #QuantumSafe #PostQuantum #BusinessAndTechnology #FexingoBusiness #BusinessPodcast #Episode50

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Episode 49 of Quantum Computing Business with Fexingo dives into how quantum computers are starting to reshape clinical trial design. Lucas and Luna explore a concrete example: a mid-stage biotech using a quantum algorithm to optimize patient stratification for a Phase 2 cancer trial. They walk through the problem—finding the right patient subgroups to reduce trial size and duration—and how a hybrid quantum-classical approach cut the search space from 10^15 possibilities to a manageable 200 in under 4 hours. The hosts also discuss what this means for drug developers, regulators, and patients, including the role of quantum in adaptive trial designs and the current limitations of noisy intermediate-scale quantum hardware. A grounded look at a real use case that moves quantum from theory to a very practical, high-stakes application.

#QuantumComputing #ClinicalTrials #Biotech #DrugDevelopment #PatientStratification #QuantumAlgorithms #HybridQuantumClassical #Phase2Trials #AdaptiveTrials #CRO #PrecisionMedicine #NISQ #FexingoBusiness #BusinessPodcast #BusinessAndTechnology #HealthcareInnovation #RDAccelerator #QuantumBusiness

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Episode 48 of Quantum Computing Business with Fexingo explores a surprising new frontier: using quantum algorithms to model drug pricing under uncertainty. Lucas and Luna examine how pharma companies are beginning to apply quantum Monte Carlo simulations to forecast optimal launch prices for new drugs, factoring in clinical trial risks, competitor pipelines, and payer negotiations. They dig into a concrete case: a mid-stage biotech using a hybrid quantum-classical platform from a startup called Qubit Pharmaceuticals to set pricing for a rare-disease therapy. The hosts walk through why traditional spreadsheets fall short, how quantum methods handle thousands of correlated variables, and what the FDA's recent guidance on real-world evidence means for quantum-powered pricing models. They also discuss the broader implications—could this shift accelerate drug access, or will it concentrate pricing power among early adopters?

#QuantumComputing #DrugPricing #Pharma #PricingStrategy #MonteCarlo #QubitPharmaceuticals #RareDisease #FDA #RealWorldEvidence #Biotech #PayerNegotiations #ClinicalTrials #HybridQuantum #QuantumAlgorithms #HealthcareEconomics #Business #FexingoBusiness #BusinessPodcast

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