The Quantum Computing Podcast with Fexingo: Qubits, Quantum Hardware, and Future Computing

Lucas and Luna explore how quantum computing is transforming aerospace engineering, specifically in computational fluid dynamics for aircraft design. They discuss a recent benchmark where a quantum algorithm simulated airflow over a wing with 15% less drag than classical methods, cutting simulation time from weeks to hours. The hosts unpack why this matters for next-generation aircraft efficiency, how Boeing and Airbus are investing in quantum fluid dynamics, and the hardware hurdles still ahead—like qubit coherence and error rates. A concrete look at one of quantum's most promising industrial use cases, grounded in real numbers and current timelines.

#QuantumComputing #AerospaceEngineering #ComputationalFluidDynamics #AircraftDesign #Boeing #Airbus #QuantumAlgorithms #Qubits #DragReduction #Simulation #Technology #Innovation #FexingoBusiness #BusinessPodcast #Podcast #Engineering #QuantumHardware #FluidDynamics

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Episode 91 of The Quantum Computing Podcast explores how quantum computers are being used to design more efficient nuclear fusion reactors. Lucas and Luna examine a specific case from a collaboration between Commonwealth Fusion Systems and a quantum computing startup, discussing how quantum simulations of plasma turbulence could reduce the size and cost of fusion reactors. They explain why classical computers struggle with magnetohydrodynamics, how quantum algorithms can model particle interactions in a tokamak, and what milestones the industry needs to hit before this becomes commercially viable. The hosts also touch on the broader implications for clean energy and the timeline for practical fusion power.

#QuantumComputing #FusionEnergy #NuclearFusion #PlasmaPhysics #CommonwealthFusionSystems #TokamakDesign #QuantumSimulation #CleanEnergy #Technology #FexingoBusiness #BusinessPodcast #QuantumAlgorithms #Magnetohydrodynamics #EnergyTech #QuantumHardware #StartupCollaboration #ClimateTech #Episode91

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In this episode of The Quantum Computing Podcast, Lucas and Luna dive into the looming threat quantum computers pose to today's encryption standards—and the race to build quantum-safe cryptography. They unpack a recent NIST report on post-quantum cryptography standards, explain why RSA and ECC are vulnerable, and discuss concrete timelines: when experts like Michele Mosca and the Global Risk Institute predict a 1-in-7 chance of a major cryptographic break by 2026. Lucas breaks down the concept of 'harvest now, decrypt later' attacks, citing real-world examples like the 2023 breach of a major VPN provider. Luna questions whether current transition efforts are fast enough, referencing the UK's NCSC and US Executive Order on cybersecurity. The hosts also explore how quantum key distribution (QKD) and new lattice-based algorithms might offer solutions, while acknowledging the massive infrastructure challenge of replacing every encrypted system. A practical, no-hype look at the most urgent non-quantum application of quantum tech.

#QuantumComputing #Cybersecurity #PostQuantumCryptography #NIST #Encryption #RSA #ECC #LatticeBased #QKD #HarvestNowDecryptLater #MoscaTheorem #QuantumKeyDistribution #NCSC #CNSA20 #CryptographicTransition #Technology #FexingoBusiness #BusinessPodcast

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Most of the world's fertilizer is made via the Haber-Bosch process, a century-old method that consumes roughly 2 percent of global energy and emits over 400 million tons of CO₂ each year. In this episode, Lucas and Luna explore how quantum computing is being used to design a better catalyst for ammonia synthesis — one that could run at lower temperatures and pressures, slashing energy use and emissions. They walk through the specific challenge: simulating the nitrogenase enzyme, which bacteria use to fix nitrogen at room temperature. Researchers at a quantum startup and a national lab are using hybrid quantum-classical algorithms to model the iron-molybdenum cofactor at the heart of that enzyme. Early results suggest that a qubit-based simulation of just a handful of atoms could point chemists toward a synthetic catalyst that mimics nature. Lucas and Luna discuss the scale of the prize — a greener fertilizer industry worth hundreds of billions — and why today's noisy quantum processors might still be useful for this kind of materials discovery. They also touch on the economic and geopolitical stakes: who controls the next-generation ammonia process could reshape global agriculture.

#QuantumComputing #Fertilizer #HaberBosch #Ammonia #Catalysis #Nitrogenase #MaterialsScience #Sustainability #ClimateTech #QuantumChemistry #HybridQuantumClassical #VQE #EnergyEfficiency #Agriculture #GreenTech #Technology #FexingoBusiness #BusinessPodcast

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In this episode of The Quantum Computing Podcast, Lucas and Luna explore how quantum algorithms are beginning to solve real-world logistics optimization problems that classical computers can't crack. They focus on a specific case: DHL's pilot program using quantum annealing to reroute delivery fleets during peak hours, which cut fuel costs by 12 percent in a 2025 trial run. The hosts break down why problems like the traveling salesman and vehicle routing scale so badly on classical hardware, how quantum annealers from D-Wave handle them differently, and what the current hardware constraints mean for near-term deployment. Luna challenges Lucas on whether these results are reproducible outside of controlled pilots, and they discuss the role of hybrid classical-quantum workflows. The episode also touches on broader implications for supply chain resilience, warehouse robotics, and last-mile delivery economics. No clickbait, no hype — just a clear-eyed look at where quantum logistics stands as of mid-2026.

#QuantumComputing #Logistics #DHL #D-Wave #QuantumAnnealing #Optimization #SupplyChain #TravelingSalesman #VehicleRouting #LastMileDelivery #HybridQuantumClassical #Technology #FexingoBusiness #BusinessPodcast #QuantumHardware #QuantumAlgorithms #DeliveryFleet #FuelCostReduction

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In this episode, Lucas and Luna explore how quantum computing is beginning to tackle one of the most complex real-world optimization problems: global supply chain logistics. They focus on a concrete example from the automotive industry, where a major manufacturer recently ran a pilot using a quantum annealer to reroute shipments after a port closure. The episode breaks down why classical algorithms struggle with the combinatorial explosion of variables in multi-echelon supply networks, how quantum annealing can find near-optimal solutions faster, and what the current hardware limitations still are. Lucas explains the difference between gate-based and annealing approaches for this use case, and Luna challenges whether the energy savings from optimization will ever outweigh the power draw of the quantum chip itself. They also touch on the role of hybrid classical-quantum architectures and what listeners should watch for in the next 12 to 18 months. No hype, just the state of the art as of mid-2026.

#QuantumComputing #SupplyChain #LogisticsOptimization #QuantumAnnealing #HybridQuantum #AutomotiveIndustry #PortClosure #CombinatorialOptimization #Qubits #NearTermQuantum #FexingoBusiness #BusinessPodcast #Technology #FutureComputing #QuantumHardware #D-Wave #IonQ #OptimizationAlgorithms

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Episode 86 explores how quantum computers are simulating catalytic reactions that classical computers can't crack — and why that matters for everything from fertilizer production to carbon capture. Lucas and Luna break down a recent experiment where a quantum processor modeled the active site of a nitrogen-fixing enzyme with 94 percent fidelity, a step toward making the Haber-Bosch process more efficient. They discuss the scale of the problem: the Haber-Bosch process consumes 2 percent of global energy and produces 1 percent of global CO2 emissions, yet a full classical simulation of a single catalytic step would require more atoms than exist in the universe. Quantum computers working with just 50 logical qubits could crack the essential electronic structure. The episode also touches on the challenges — error rates, qubit coherence times — and what the next milestones look like: maybe a practical catalyst design within five years.

#QuantumComputing #Catalysis #HaberBosch #NitrogenFixation #ChemicalSimulation #QuantumChemistry #EnergyEfficiency #CarbonCapture #GreenChemistry #QuantumHardware #ErrorCorrection #IndustrialCatalysis #FertilizerProduction #SustainableChemistry #Technology #FexingoBusiness #BusinessPodcast #QuantumPodcast

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In this episode of The Quantum Computing Podcast with Fexingo, Lucas and Luna explore how quantum computers are accelerating drug repurposing — finding new uses for existing drugs. They dive into a specific case: researchers at a leading pharmaceutical company used a quantum algorithm to identify a common diabetes drug as a potential treatment for a rare liver disease, cutting a process that typically takes years down to weeks. The hosts explain why quantum computers excel at simulating molecular interactions, compare quantum and classical approaches, and discuss the implications for the pharmaceutical industry, including cost reduction and faster clinical trials. They also touch on the challenges of scaling quantum hardware for practical drug discovery, like qubit coherence and error rates. Perfect for business and tech listeners interested in the practical applications of quantum computing.

#QuantumComputing #DrugRepurposing #Pharmaceuticals #DrugDiscovery #QuantumAlgorithms #MolecularSimulation #Technology #Business #Podcast #FexingoBusiness #BusinessPodcast #Hardware #Qubits #ErrorCorrection #ClinicalTrials #DiabetesDrug #LiverDisease #ComputationalChemistry

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In this episode of The Quantum Computing Podcast with Fexingo, Lucas and Luna explore how quantum simulations are reshaping battery chemistry for next-generation energy storage. They focus on Toyota Research Institute's collaboration with D-Wave Systems to simulate lithium-air reactions, a breakthrough that could lead to batteries with five times the energy density of today's lithium-ion cells. The hosts break down why classical computers hit a wall modeling electron interactions in electrolytes, how quantum annealers handle the combinatorial explosion of molecular states, and what this means for electric vehicles and grid storage. They also touch on the broader implications for materials discovery, citing concrete examples like IBM's work on cobalt-free cathodes and Google's Quantum AI team's recent preprint on simulating transition metal oxides. No hype, just the real physics and business timelines. And as always, a brief note on why this show stays ad-free and how listeners can support that mission at buy me a coffee dot com slash fexingo.

#QuantumComputing #BatteryChemistry #ToyotaResearchInstitute #DwaveSystems #LithiumAir #EnergyStorage #IBMQuantum #GoogleQuantumAI #MaterialsScience #QuantumAnnealing #ElectrolyteSimulation #ElectricVehicles #GridStorage #CobaltFreeCathodes #TransitionMetalOxides #Technology #FexingoBusiness #BusinessPodcast

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In this episode of The Quantum Computing Podcast, Lucas and Luna dive into how quantum computers are accelerating materials discovery by simulating atomic interactions that classical computers cannot handle. Lucas explains recent breakthroughs in modeling high-temperature superconductors and battery electrolytes using hybrid quantum-classical algorithms on current noisy hardware. Luna highlights a specific case: a team at IBM successfully simulated a 12-atom molecule for a solid-state electrolyte in under 20 minutes—a task that would take months on a classical supercomputer. They discuss the shift from brute-force search to quantum-guided design, the role of error mitigation, and what this means for industries like energy storage and aerospace. The episode also touches on the timeline for practical quantum advantage in materials science, referencing recent roadmaps from IBM and Quantinuum. Listeners will come away with a clear understanding of why quantum computing is poised to transform how we discover new materials for batteries, solar cells, and more.

#QuantumComputing #MaterialsScience #IBM #Quantinuum #HighTemperatureSuperconductors #BatteryTechnology #HybridQuantumClassical #ErrorMitigation #SolidStateElectrolytes #AtomicSimulation #QuantumAdvantage #NISQ #EnergyStorage #DensityFunctionalTheory #Physics #Technology #FexingoBusiness #BusinessPodcast

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