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

The Quantum Computing Podcast with Fexingo: Qubits, Quantum Hardware, and Future Computing
This podcast explores the current state and near-term future of quantum computing. Hosts Lucas and Luna examine the science and business of quantum hardware, from superconducting qubits to trapped ions and topological systems. They discuss engineering challenges like error correction, the race to quantum supremacy, and realistic timelines for commercial quantum advantage. Each episode focuses on a specific company, research paper, or technology milestone, such as Google's Sycamore or IBM's Quantum System One. The show aims to provide a clear, hype-free understanding of quantum computing's real bottlenecks, credible roadmaps, and potential industry transformations.
Episodes

How Quantum Computing Is Breaking and Saving Encryption
The clock is ticking on classical encryption. By late 2026, federal contractors must adopt post-quantum cryptography. Lucas and Luna break down how Shor's algorithm threatens RSA and how NIST's new standards — CRYSTALS-Kyber and CRYSTALS-Dilithium — are hardening our digital infrastructure. They examine practical migration challenges and why hybrid crypto is the bridge to a quantum-safe future. Sp

How Quantum Computing Is Designing Better Solar Cells
A Swiss Federal Institute study used a quantum algorithm to screen over 300,000 perovskite compounds for solar cells, identifying a candidate with a theoretical 32.1% efficiency—nearly 30% higher than current silicon records. This episode explores how variational quantum eigensolvers on 30-qubit devices are leapfrogging classical high-throughput screening, the stability challenges of perovskites,

How Quantum Computing Is Optimizing Last Mile Delivery
Last-mile delivery is the most expensive and complex part of logistics. In this episode, Lucas and Luna dive into how quantum computing is tackling the vehicle routing problem — the math behind your package arriving on time. They break down a real-world pilot from a major carrier that used a hybrid quantum-classical system to cut fuel consumption by 8 percent. Plus, they explain why quantum anneal

How Quantum Computers Are Designing Carbon Capture Materials
Episode 133 explores how quantum computing is accelerating the discovery of materials for carbon capture. Lucas and Luna discuss a recent collaboration between IBM and a university team that used a quantum computer to simulate a metal-organic framework (MOF) for capturing CO2. They explain why classical computers struggle with these electron correlations, and how quantum simulations can identify p

How Quantum Computers Are Hunting Room-Temperature Superconductors
Episode 132 of The Quantum Computing Podcast with Lucas and Luna explores how quantum computers are starting to discover the next generation of materials that will make quantum hardware better. We dive into a recent simulation on an IBM 127-qubit processor by the University of Chicago, targeting the iron-based superconductor FeSe. Using variational quantum eigensolvers and error mitigation, resear

How Quantum Computing Is Stabilising Renewable Energy Grids
Episode 131 examines how quantum computers are beginning to solve one of the hardest operational challenges in energy: real-time grid balancing with intermittent renewables. Lucas and Luna dig into a June 2026 pilot project in Portugal where a D-Wave quantum annealer optimised power dispatch across a 50-megawatt solar-plus-storage microgrid. They compare quantum annealing with classical solvers, e

How Quantum Computing Is Accelerating Drug Clinical Trials
In this episode, Lucas and Luna explore how quantum computing is being used to simulate molecular interactions for drug clinical trials. They focus on a specific case: a partnership between pharmaceutical company Roche and quantum computing firm IonQ. Using quantum algorithms, the team simulated the binding affinity of a cancer drug candidate to its target protein, reducing the initial screening t

How Quantum Computing Is Optimizing Traffic Flow in Smart Cities
In this episode of The Quantum Computing Podcast, Lucas and Luna explore how quantum algorithms are being used to optimize urban traffic flow in real time. They focus on a pilot project in Barcelona that uses a quantum-enhanced version of the classic traffic assignment problem, cutting average commute times by 12 percent during peak hours. The hosts break down the difference between classical traf

How Quantum Computing Is Making Money Markets More Stable
Lucas and Luna explore how quantum computers are being used to model financial market dynamics in ways classical computers cannot. They focus on a 2025 experiment where D-Wave's quantum annealer simulated a simplified limit-order book, showing how quantum algorithms can predict liquidity crunches and flash crash risks. The hosts break down the difference between quantum annealing and gate-based qu

How Quantum Computing Is Watermarking the Sky with Contrail Avoidance
In this episode, Lucas and Luna explore how airlines like KLM and researchers at D-Wave are using quantum algorithms to reroute flights around persistent contrails — the wispy clouds that trap heat and account for roughly 35 percent of aviation's warming impact. A 2023 Google-funded trial on 70 flights showed that small altitude changes could cut contrail formation by more than 50 percent, and qua

How Quantum Computing Is Revolutionizing Drug Side Effect Prediction
In this episode of The Quantum Computing Podcast, Lucas and Luna explore how quantum machine learning is being applied to predict adverse drug reactions long before human trials. They focus on a landmark 2025 study from Insilico Medicine that used a hybrid quantum-classical model to simulate molecular interactions for 2,000 known compounds, flagging liver toxicity risks with 86% accuracy—a 12-poin

How Quantum Computing Is Optimizing Global Supply Chains
In this episode of The Quantum Computing Podcast, Lucas and Luna explore how quantum algorithms are revolutionizing supply chain logistics. They dive into a real-world case: DHL's pilot project with quantum startup QuantumBasel to optimize last-mile delivery routes in Berlin. Lucas explains how quantum computers can solve the 'traveling salesman problem' for 1,000-plus delivery points simultaneous

How Quantum Computing Is Simulating Enzymes for Drug Discovery
Lucas and Luna explore how quantum computers are beginning to simulate enzyme reactions, a task classical computers struggle with due to the quantum nature of chemical bonds. They focus on a 2025 landmark study from IBM and pharmaceutical company Roche that used a 127-qubit system to model the active site of cytochrome P450, an enzyme responsible for metabolizing half of all drugs. The episode exp

How Quantum Computing Is Mapping the Human Brain
This episode explores how quantum computing is taking on one of the hardest problems in neuroscience: mapping the connectome — the complete wiring diagram of the human brain. Lucas and Luna discuss why classical computers hit a wall with the brain's 100 billion neurons and 100 trillion connections, and how quantum algorithms like quantum annealing and tensor networks are beginning to untangle neur

How Quantum Computers Are Designing Better Antibiotics
In this episode, Lucas and Luna explore how quantum computing is being used to design new antibiotics by simulating molecular interactions that classical computers can't handle. They focus on a specific case: a 2025 collaboration between IBM Quantum and a major pharmaceutical company that used a 127-qubit processor to model the binding affinity of a novel antibiotic candidate against drug-resistan

Quantum Computing Is Decoding Financial Fraud Patterns
Lucas and Luna dive into how quantum machine learning is being used to detect complex financial fraud that classical systems miss. They focus on a real 2025 pilot by JPMorgan Chase using a 127-qubit IBM quantum processor to analyze transaction patterns across 50 million accounts, flagging synthetic identity fraud rings with 30% fewer false positives than traditional ML models. The episode explores

How Quantum Computing Is Optimizing Protein Folding
In this episode of The Quantum Computing Podcast, Lucas and Luna explore how quantum computers are starting to tackle protein folding — the biological puzzle that determines how proteins shape themselves and how misfolding leads to diseases like Alzheimer's and Parkinson's. While classical supercomputers have made progress through tools like AlphaFold, quantum hardware offers a fundamentally diffe

Quantum Computing Is Unlocking Better Weather Forecasting
We take weather forecasts for granted, but the physics-based models that power them are hitting a computational wall. In this episode, Lucas and Luna drill into how quantum computing is starting to crack that wall open, using a specific case: the European Centre for Medium-Range Weather Forecasts (ECMWF) and its 2024 quantum experiment with qubit-based ensemble forecasting. Lucas explains why clas

How Quantum Computing Is Tackling Nuclear Fusion
In this episode of The Quantum Computing Podcast, Lucas and Luna explore how quantum computers are accelerating the design of nuclear fusion reactors. They focus on a specific case: the simulation of plasma turbulence inside tokamak devices, where classical supercomputers hit computational limits. Lucas explains why fusion scientists are turning to quantum algorithms to model magnetohydrodynamics

Quantum Computing Is Unlocking Next-Gen Fertilizer Production
In this episode, Lucas and Luna explore how quantum computing is transforming the production of ammonia for fertilizer, specifically the Haber-Bosch process. They dig into the specific challenge of nitrogen fixation and how quantum simulations are helping researchers discover new catalysts that could drastically reduce the energy consumption and carbon footprint of fertilizer manufacturing. The ho

How Quantum Computing Is Redesigning Electric Vehicle Batteries
In this episode of The Quantum Computing Podcast, hosts Lucas and Luna explore how quantum simulations are accelerating the development of next-generation electric vehicle batteries. They focus on a specific case: how researchers at the Toyota Research Institute and D-Wave Systems are using quantum annealing to model electrolyte molecules, cutting simulation time from weeks to hours. Lucas explain

How Quantum Computing Is Optimizing Airline Flight Paths
In this episode, Lucas and Luna explore how quantum computing is beginning to solve one of the airline industry's hardest problems: flight path optimization. They focus on a specific case — how a major European carrier is working with a quantum startup to test gate-based algorithms for rerouting a fleet of 150 aircraft around weather disruptions in real time. The hosts break down why this problem

Quantum Computing Is Transforming Weather Prediction
In this episode of The Quantum Computing Podcast, Lucas and Luna explore how quantum computers are beginning to revolutionize weather forecasting. They zero in on a specific challenge: ensemble forecasting, where thousands of simulations are needed to predict the probability of a storm. Classical supercomputers struggle with the sheer volume of calculations, but quantum algorithms — particularly f

How Quantum Computers Are Optimizing Chip Design
In this episode, Lucas and Luna explore how quantum computing is beginning to optimize the design of classical semiconductor chips. They focus on a concrete example: the layout problem known as 'standard cell placement,' where millions of logic gates must be arranged on a silicon die to minimize wirelength and heat. Classical algorithms struggle as chips shrink below 3 nanometers, with search spac

Quantum Computing Is Reshaping Cybersecurity Encryption
In this episode, Lucas and Luna dive into how quantum computing is forcing a fundamental rethink of encryption standards. They explore Shor's algorithm and its potential to break RSA-2048 encryption, the current timeline for a quantum threat, and the emergence of post-quantum cryptography standards from NIST. With specific references to the July 2026 cybersecurity landscape, they discuss why finan

How Quantum Computers Are Revolutionizing Logistics Optimization
Lucas and Luna dive into how quantum computing is transforming package routing and supply chain logistics. They unpack a specific case: DHL's 2025 pilot with IonQ's quantum annealer to optimize last-mile delivery in Berlin, which cut fuel costs by 12% while maintaining delivery windows. They discuss why logistics — with its combinatorial explosion of variables — is a natural fit for quantum's swee

Quantum Computing Is Redesigning Smartphone Batteries
Episode 110 dives into how quantum computing is enabling the redesign of lithium-ion batteries for smartphones and consumer electronics. Lucas and Luna explore a specific 2024 breakthrough by IBM and Daimler using quantum simulations to model electrolyte molecules, cutting battery design cycles from years to weeks. They discuss the impact on energy density, charging speed, and safety, and what it

How Quantum Computing Is Unlocking Carbon-Neutral Shipping
Global shipping produces roughly one billion tons of carbon dioxide each year — around three percent of total emissions. Right now, the industry is testing quantum algorithms to optimise vessel routes in real time, reducing fuel burn by up to fifteen percent. But beyond routing, a handful of startups are using quantum chemistry simulations to design cleaner marine fuels from ammonia and hydrogen,

How Quantum Error Correction Is Becoming Practical
Episode 108 explores the recent breakthrough in quantum error correction that has moved from theoretical overhead to real hardware gains. Lucas and Luna break down Google's 2025 Willow chip demonstration, where surface codes achieved logical qubit error rates below physical qubit rates for the first time. They discuss what this means for fault-tolerant quantum computing timelines, the shift from a

How Quantum Computing Is Accelerating Battery Design
In this episode of The Quantum Computing Podcast with Fexingo, Lucas and Luna explore how quantum simulations are revolutionizing battery chemistry. They focus on a 2025 breakthrough by IBM and Daimler that used a 127-qubit system to model lithium-sulfur electrolyte interactions, potentially doubling electric vehicle range. Lucas explains why classical supercomputers hit a wall with electron corre

Quantum Sensing Is Reshaping Medical Imaging
Magnetic resonance imaging has been around for decades, but its fundamental sensitivity is hitting a hard ceiling. In this episode, Lucas and Luna explore how quantum sensing — specifically nitrogen-vacancy centers in diamond — is enabling a new generation of MRI that can image single molecules and track metabolic processes in real time. They walk through the physics of NV centers, the prototype b

Quantum Annealing vs Gate-Based Quantum Computing Showdown
Lucas and Luna break down the fundamental divide between quantum annealing and gate-based quantum computing. Using real-world examples from D-Wave's latest 5000-qubit Advantage2 processor and IBM's 1000+ qubit Condor chip in July 2026, they explain which approach is better suited for optimization problems versus general quantum algorithms—and why the choice of hardware matters more than qubit coun

How Quantum Computing Is Revolutionizing Materials Science
Lucas and Luna explore how quantum computers are transforming materials science, focusing on a concrete example: the search for better superconductors. Lucas explains a recent simulation of a high-temperature superconductor's electron behavior performed on a 50-qubit IBM processor, reducing computation time from an estimated 100,000 hours on a classical supercomputer to just 12 hours. They discuss

How Quantum Computing Is Optimizing Renewable Energy Grids
In this episode of The Quantum Computing Podcast, Lucas and Luna dive into one of the most practical near-term applications of quantum computing: optimizing renewable energy grids. They explore how quantum algorithms can solve the unit commitment problem—balancing supply and demand across thousands of power sources in real time. The conversation centers on a recent proof-of-concept from a European

How Quantum Computing Is Forecasting Financial Risk
In this episode, Lucas and Luna explore how quantum computers are beginning to tackle one of finance's hardest problems: risk forecasting. They focus on a 2025 proof-of-concept by JPMorgan Chase that used a 127-qubit IBM processor to simulate portfolio value-at-risk calculations faster than classical Monte Carlo methods. The hosts break down why this matters for real trading desks, how quantum amp

Quantum Machine Learning Is Reshaping Drug Discovery Pipelines
Episode 101 explores how quantum machine learning is being used to screen molecular candidates in early-stage drug discovery. Lucas and Luna break down a concrete example: how researchers at a pharmaceutical company recently used a quantum-classical hybrid model to reduce the time needed to identify promising drug-like molecules from months to weeks. They discuss the specific algorithm — a variati

Quantum Computing Is Reshaping Financial Modeling After a Century
In episode 100 of The Quantum Computing Podcast, Lucas and Luna explore how quantum algorithms are beginning to challenge classical financial models that have stood for decades. They focus on a specific case: the use of quantum Monte Carlo methods for portfolio optimization at JPMorgan Chase's quantum research lab. Lucas explains why quantum computers could price complex derivatives and simulate r

How Quantum Computing Is Revolutionizing Financial Modeling
In episode 99 of The Quantum Computing Podcast, Lucas and Luna explore how quantum computers are starting to reshape financial modeling. They focus on a concrete case: quantum Monte Carlo simulations for portfolio risk analysis. Lucas explains why classical Monte Carlo becomes computationally prohibitive for large portfolios, and how quantum algorithms promise a quadratic speedup. Luna brings in J

Quantum Computing Is Mapping the Human Brain
Lucas and Luna explore how quantum computing is beginning to tackle one of science's grandest challenges: mapping the human brain's connectome. They focus on a specific 2025 study from the Allen Institute in Seattle, where researchers used a hybrid quantum-classical algorithm to trace neural pathways in a mouse visual cortex sample—a task that would have taken classical supercomputers over 40,000

How Quantum Computing Is Reinventing Carbon Capture
In this episode of The Quantum Computing Podcast, hosts Lucas and Luna dive into how quantum simulations are transforming carbon capture research. They focus on a specific breakthrough: using quantum computers to simulate the chemical behavior of metal-organic frameworks (MOFs) at a level of detail classical supercomputers can't reach. Lucas explains how MOFs act like molecular sponges for CO2 and

How Quantum Computers Are Decoding Gene Regulation Networks
Today's episode dives into how quantum computers are beginning to model gene regulatory networks — the complex circuits inside cells that turn genes on and off. Lucas and Luna discuss a specific 2025 preprint from researchers at the University of Chicago and IBM Quantum, where a 127-qubit processor simulated a five-gene toggle switch circuit — a task that would require a classical supercomputer to

How Quantum Computing Is Simulating Protein Folding
In this episode of The Quantum Computing Podcast, Lucas and Luna dive into how quantum computers are beginning to tackle one of biology's hardest problems: protein folding. They focus on a specific 2026 collaboration between a quantum startup and a pharmaceutical company that used a 1000-qubit quantum processor to simulate a small protein domain — something that would take classical supercomputers

Why Quantum Error Correction Now Matters for Real Hardware
Lucas and Luna explore the recent milestone where logical qubits broke the error-correction threshold, focusing on Google's demonstration of a surface code with error rates below the break-even point. They discuss what this means for near-term quantum computers, how error correction scales with qubit count, and why 2026 is the year hardware finally caught up to theory. No hype, just the numbers: f

How Quantum Computing Is Farming Better Crops
Lucas and Luna explore how quantum computing is being used to optimize agricultural crop breeding and nitrogen fixation. They discuss a specific collaboration between D-Wave Systems and a European agricultural research consortium, where quantum annealing helped identify optimal gene combinations for drought-resistant wheat. The hosts explain the difference between classical genetic algorithms and

Quantum Computing Is Rewriting the Rules of Aerospace Design
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,

Quantum Computing Meets Nuclear Fusion Reactor Design
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 classic

How Quantum Computing Is Poised to Transform Cybersecurity
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 Insti

Quantum Computing Is Redesigning the Fertilizer Industry
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 emis

How Quantum Computing Is Revolutionizing Logistics
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 wh

How Quantum Computing Is Optimizing Supply Chains
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 algorithm

How Quantum Computing Is Revolutionizing Chemical Catalysis
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 ef

How Quantum Computing Is Revolutionizing Drug Repurposing
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 typic

How Quantum Computers Are Rethinking Battery Chemistry
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. Th

How Quantum Computing Is Rewriting the Rules of Materials Science
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

How Quantum Computing Is Securing the Power Grid
Episode 82 of The Quantum Computing Podcast explores how quantum computers are being used to protect the electrical grid from cyberattacks. Lucas and Luna break down a specific case: the Department of Energy's partnership with leading quantum labs to develop post-quantum cryptography and real-time anomaly detection for grid infrastructure. They explain how Shor's algorithm threatens current encryp

Quantum Sensors Are Outpacing Classical Measurement
Episode 81 of The Quantum Computing Podcast explores how quantum sensors — devices that exploit entanglement and superposition to measure magnetic fields, gravity, and time — are moving from lab curiosities to real-world tools. Lucas and Luna discuss a specific case: a startup using nitrogen-vacancy centers in diamond to detect minute magnetic anomalies in brain tissue, potentially enabling non-in

Why Quantum Computers Need a New Class of Error-Correcting Codes
In this episode, Lucas and Luna explore why the standard surface code approach to quantum error correction may not be enough for practical fault-tolerant quantum computing. They examine the rise of low-density parity-check (LDPC) codes adapted for qubits, the breakthrough work by researchers at the University of Sydney and IBM, and the concrete trade-off between qubit overhead and code distance. T

How Quantum Computing Is Tackling Fusion Energy Simulation
Episode 79 of The Quantum Computing Podcast explores how quantum computers are being deployed to simulate plasma behavior inside fusion reactors. Lucas and Luna discuss a specific 2026 experiment where researchers at a national lab used a 1000-qubit quantum processor to model turbulent plasma flow—reducing simulation time from weeks to under a day. They break down why fusion poses such a hard comp

How Quantum Computers Are Optimizing Portfolio Risk Management
In this episode, Lucas and Luna explore how quantum computing is transforming portfolio risk management. They discuss a specific case: how JPMorgan Chase is experimenting with quantum algorithms to run Value-at-Risk simulations that would take classical supercomputers days. The conversation covers the limitations of classical Monte Carlo methods, the promise of amplitude estimation, and the practi

Why Quantum Computers Need Silicon Photonics
In episode 77, Lucas and Luna dive into why silicon photonics is becoming a critical enabler for scaling quantum computers. They explain how moving data with light instead of electricity reduces heat and error rates, and highlight Intel's recent breakthrough in integrating photonic components directly onto silicon chips. The conversation covers the difference between classical photonics and the qu

Why Quantum Computers Need New Error Mitigation Strategies
Episode 76 of The Quantum Computing Podcast dives into the emerging field of error mitigation — a practical middle ground between noisy quantum processors and full fault-tolerant quantum computing. Lucas and Luna unpack why even today's imperfect 100-qubit machines can produce useful results when noise is handled statistically, not just corrected. They discuss IBM's recent work on probabilistic er

How Quantum Computing Is Optimizing Traffic Flow
In Episode 75 of The Quantum Computing Podcast, Lucas and Luna explore how quantum algorithms are being applied to urban traffic optimization. They focus on Volkswagen's 2019 pilot in Lisbon, where a quantum-inspired algorithm helped 2,000 taxis reduce travel time by 15 percent. The discussion covers the limitations of classical traffic models, how quantum annealing can solve the 'traveling salesm

Quantum Error Correction Is Becoming Practical
Episode 74 of The Quantum Computing Podcast explores the leap from theoretical quantum error correction to real-world deployment on today's noisy hardware. Lucas and Luna break down the surface code, talk about recent experiments on Google's Sycamore processor that pushed beyond break-even, and discuss why better error correction may matter more than more qubits. They also touch on how fault-toler

Quantum Computing Is Tackling Drug Discovery's Toughest Bottlenecks
Episode 73 of The Quantum Computing Podcast explores how quantum computers are beginning to address the molecular simulation challenges that have long stalled pharmaceutical R&D. Lucas and Luna break down the specific bottleneck: classical computers cannot accurately simulate electron correlation in transition-metal catalysts and protein active sites — a problem quantum computers are uniquely suit

Quantum Computing Is Rethinking Semiconductor Doping
In episode 72 of The Quantum Computing Podcast, Lucas and Luna explore how quantum computers are forcing a fundamental rethink of semiconductor doping — the process of adding impurities to silicon to control electrical properties. They anchor on a specific 2025 breakthrough from researchers at the University of New South Wales who used a scanning tunneling microscope to place individual phosphorus

Quantum Computing Is Tracking Weather and Climate
Lucas and Luna explore how quantum computing is beginning to improve numerical weather prediction. They focus on the specific problem of resolving sub-grid-scale atmospheric processes, like cumulus cloud formation and turbulent eddies, which classical supercomputers struggle to parameterize. The episode anchors on a 2025 Nature paper from researchers at the University of Chicago and Argonne Nation

How Quantum Computing Is Simulating Protein Folding
This episode explores how quantum computers are beginning to tackle protein folding, the notoriously complex problem that has resisted classical computation for decades. Lucas and Luna discuss recent advances in quantum simulation of molecular structures, focusing on a 2025 experiment where a 100-qubit processor successfully predicted the folding pathway of a small antimicrobial peptide. They expl

Quantum Computing Is Forecasting Financial Risk
Lucas and Luna explore how quantum computers are beginning to model portfolio risk and market scenarios in ways classical systems can't match. They focus on a real 2025 Monte Carlo simulation run by JPMorgan Chase on an IBM superconducting processor—2 million scenarios in under three minutes versus hours on a classical cluster. The episode digs into why path-dependent options, mortgage-backed secu

How Quantum Computers Will Talk to Each Other via Quantum Internet
Quantum computers need a network. In this episode of The Quantum Computing Podcast, Lucas and Luna explore the emerging field of quantum internet — a dedicated network that distributes entanglement between distant quantum processors. They break down the fundamental challenge: transmitting fragile quantum states over fiber optics without destroying them. Lucas explains the concept of quantum repeat

How Quantum Computers Are Designing Better Airplane Wings
Episode 67 of The Quantum Computing Podcast explores how quantum computing is transforming aerospace engineering, specifically the design of airplane wings. Lucas and Luna break down a concrete case: how quantum optimization algorithms model airflow around wings more accurately than classical methods, reducing drag and cutting fuel costs. They discuss recent progress from a consortium involving Ai

Why Quantum Computers Need Diamond-Based Qubits
Episode 66 of The Quantum Computing Podcast with Fexingo dives into the emerging field of diamond-based qubits. Lucas and Luna explore why nitrogen-vacancy centers in diamond are gaining traction as a qubit platform, offering room-temperature operation and long coherence times. They discuss recent breakthroughs from teams at Harvard and MIT, where researchers achieved record single-shot readout fi

Quantum Computing Is Redesigning Catalysts for Cleaner Ammonia
Episode 65 of The Quantum Computing Podcast with Fexingo tackles a specific industrial chemistry problem: the Haber-Bosch process, which produces over 180 million tons of ammonia annually and consumes about 2% of global energy. Hosts Lucas and Luna explore how quantum simulations are being used to design new iron-based catalysts that could lower the process's temperature and pressure requirements,

Why Quantum Computers Need Photonic Interconnects
Episode 64 dives into the critical bottleneck of connecting quantum processors. Lucas and Luna explore why classical wiring fails at cryogenic temperatures, how photonic interconnects—using photons instead of electrons—could solve the scaling problem, and what recent experiments from a leading university lab reveal about practical entanglement distribution. They discuss the specific challenge of l

Quantum Computing Is Rewriting Battery Chemistry
Lucas and Luna dive into how quantum simulations are accelerating battery research. They focus on a specific breakthrough: a team at the University of Chicago used a trapped-ion quantum computer to model the electron dynamics of a lithium-oxygen battery cathode, achieving a 40 percent reduction in computational steps versus classical methods. The hosts discuss why battery chemistry is so hard to s

Quantum Computing Needs a New Kind of Memory
Episode 62 of The Quantum Computing Podcast with Fexingo dives into the memory bottleneck facing quantum computers. Lucas and Luna explore why today's classical RAM can't keep up with qubit error correction, and how a startup called Qunnect is building a quantum memory system using diamond defects. They break down the specific challenge: logical qubits require thousands of physical qubits, and eac

Quantum Computing Is Tackling Fertilizer Emissions
Episode 61 of The Quantum Computing Podcast with Fexingo dives into the Haber-Bosch process, the 100-year-old industrial method for making ammonia fertilizer that consumes 2% of global energy and emits 450 million tons of CO2 annually. Lucas and Luna explore how quantum computers could simulate nitrogen fixation at the molecular level, potentially enabling a room-temperature, low-pressure alternat

Why Quantum Computers Need Better Cryogenic Memory
Lucas and Luna dig into one of the quietest bottlenecks in quantum computing: memory that works at millikelvin temperatures. Classical DRAM freezes solid below about 40 kelvin. But today's superconducting qubits operate inside dilution refrigerators at roughly 10 to 15 millikelvin — a thousand times colder. Every control pulse and every measurement result currently has to be heat-carrying electric

How Quantum Computing Is Tackling Supply Chain Complexity
Supply chains are notoriously chaotic—disruptions ripple across continents, and traditional optimization breaks down under real-world constraints. In this episode, Lucas and Luna explore how quantum computing is beginning to tackle supply chain complexity, focusing on a 2025 pilot by Volkswagen that used a hybrid quantum-classical solver to route spare parts across European warehouses. They unpack

Quantum Computing's Next Challenge: Chip Yield and Manufacturing Defects
Episode 58 of The Quantum Computing Podcast shifts focus from qubit design to the brutal economics of fabrication. Lucas and Luna explore why the industry's biggest bottleneck in 2026 isn't error correction — it's chip yield. Drawing on real numbers from Intel's tunnel-fab and IBM's Heron processor, they explain how manufacturing defects that barely matter in classical chips can kill entire quantu

Why Quantum Computers Need Modular Architectures
Lucas and Luna dive into why scaling quantum computers to useful sizes demands a shift from monolithic chips to modular, networked architectures. They discuss the physical limits of packing more qubits onto a single chip, the role of photonic interconnects, and the concrete challenges of linking separate quantum modules without destroying coherence. The episode focuses on recent progress at compan
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