Episode 7 of Quantum Computing Business with Fexingo examines the looming cash crunch for quantum computing startups. As of May 2026, several high-profile quantum hardware companies face a stark reality: public markets have closed, venture capital is tightening, and the path to commercial revenue is longer than expected. Lucas and Luna walk through the math — burn rates, funding rounds, and the 'quantum winter' debate. They focus on two contrasting cases: Rigetti Computing, which went public via SPAC and now trades at a fraction of its peak, and a hypothetical late-stage startup still in stealth. The conversation drills into what it means for enterprise buyers, talent, and the timeline for fault-tolerant quantum computing. No hype, just the numbers.

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In this episode, Lucas and Luna dive into the immediate business threat posed by quantum computing: the ability to break current encryption standards. They focus on the timeline—experts estimate a 1-in-7 chance of RSA-2048 being broken by 2031—and the concept of 'harvest now, decrypt later' attacks already underway. The discussion covers which industries are most exposed (finance, healthcare, government), the $15 billion post-quantum cryptography market projected by 2030, and early movers like IBM and SandboxAQ. They also explain why quantum key distribution isn't the silver bullet and why companies need to start migrating to quantum-safe algorithms today, citing NIST's finalized standards from 2024 as the catalyst. A concrete, no-panic guide to why your CEO should care about quantum security right now.

#QuantumCybersecurity #PostQuantumCryptography #HarvestNowDecryptLater #RSA2048 #QuantumComputing #Encryption #IBM #SandboxAQ #NIST #QuantumKeyDistribution #QuantumThreat #CyberRisk #DataSecurity #BusinessTechnology #EnterpriseIT #FexingoBusiness #BusinessPodcast #FutureOfSecurity

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Episode 5 dives into a neglected side of quantum computing: the supply chain and hardware manufacturing ecosystem. Lucas and Luna explore how companies like Rigetti Computing and Quantinuum depend on specialized components—cryogenic systems, niobium-based superconducting chips, and precision control electronics—made by suppliers few investors track. They walk through the specific bottlenecks: dilution refrigerators from companies like Bluefors and Oxford Instruments have lead times exceeding 12 months, and the global shortage of isotopically enriched silicon-28 threatens diamond-based qubits. Lucas cites a McKinsey report estimating the quantum supply chain will be worth $2.5 billion by 2030, yet most analyst attention stays on the final systems. The episode argues that the real business opportunity may lie in the enabling technologies, not just the quantum computers themselves. Close with a question: will the supply chain reshape which quantum platforms actually scale?

#QuantumComputing #SupplyChain #RigettiComputing #Quantinuum #Cryogenics #Bluefors #OxfordInstruments #SuperconductingQubits #DilutionRefrigerator #Silicon28 #DiamondQubits #McKinsey #HardwareManufacturing #BusinessTechnology #Business #FexingoBusiness #BusinessPodcast #EnterpriseTech

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Episode 4 of Quantum Computing Business with Fexingo dives into the real-world business case for quantum in drug discovery. Lucas and Luna examine 2025 data from the first pharma companies posting cost-per-molecule reductions using noisy intermediate-scale quantum (NISQ) hardware. They break down a concrete example: how one mid-size biotech simulated a 20-atom molecule classically for $80,000 per simulation, then ran the same problem on a hybrid quantum-classical workflow for under $12,000 — a sixfold savings even before error mitigation. The hosts explore why quantum is winning on cost for specific molecular simulations, where the break-even point sits today, and what the next three years look like as hardware scales. No hype, no theory — just the numbers that matter for CFOs and R&D heads.

#QuantumComputing #DrugDiscovery #NISQ #CostEfficiency #QuantumBusiness #Pharma #Simulation #HybridQuantum #MolecularModeling #ErrorMitigation #BusinessPodcast #FexingoBusiness #LucasAndLuna #EnterpriseTech #R&D #Biotech #ROIC #QuantumAdvantage

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Episode 3 dives into quantum error correction (QEC) — the unsung engineering challenge that determines whether a quantum computer actually works. Lucas and Luna break down the surface code, logical qubits vs. physical qubits, and why Google's Sycamore processor needed a 1,000-to-1 overhead to run a single logical qubit. They contrast superconducting and trapped-ion approaches, explain why error thresholds matter more than qubit count, and explore the business implications for companies like IBM and Quantinuum. If you think quantum advantage is just about more qubits, this episode will change your mind.

#QuantumComputing #ErrorCorrection #SurfaceCode #LogicalQubit #GoogleQuantumAI #IBMQuantum #Quantinuum #SuperconductingQubit #TrappedIon #QubitOverhead #QuantumThreshold #QuantumAdvantage #BusinessAndTechnology #FexingoBusiness #BusinessPodcast #TechDeepDive #Hardware #Engineering

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In episode 2, Lucas and Luna explore the concrete business applications of quantum computing today — not theoretical advantage, but actual hybrid classical-quantum workflows running in production. They walk through how financial institutions are using quantum-inspired algorithms for portfolio optimization, how pharmaceutical companies are simulating molecular interactions on current noisy quantum hardware, and how energy companies are tackling grid-balancing problems. The hosts drill into one specific case: a major European bank that claims quantum-based models improved trade-settlement throughput by 7 percent. They also discuss the 'quantum-classical split' — which problems belong on quantum hardware right now, and which should wait for fault-tolerant machines. No hype, no vaporware: just the messy, real-world integration happening inside engineering teams at Airbus, Goldman Sachs, and Accenture. If you work in technology strategy, enterprise IT, or R&D investment, this episode gives you a practical framework for evaluating today's quantum readiness.

#QuantumComputing #EnterpriseTech #HybridQuantum #PortfolioOptimization #DrugDiscovery #MolecularSimulation #GridBalancing #GoldmanSachs #Airbus #Accenture #NoisyIntermediateScaleQuantum #NISQ #QuantumInspired #TradeSettlement #Business #FexingoBusiness #BusinessPodcast #TechStrategy

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In the debut episode of Quantum Computing Business, Lucas and Luna drill into a single concrete number: IonQ's 2025 revenue guidance of $95 million at the midpoint. They trace how this quantum-computing pure-play went from academic spinout to public company via SPAC, examine its trapped-ion architecture versus superconducting qubits from Google and IBM, and ask what 'quantum advantage' actually means for enterprise customers in mid-2026. Lucas argues the next twelve months will determine whether quantum is a real industry or a ten-year hype cycle; Luna pushes back on the valuation story, noting IonQ trades at roughly 40 times forward sales. They also discuss the emerging software layer — from Amazon Braket to open-source frameworks — and why Boeing and Airbus are already running optimization experiments. No breathless futurism, just a sober look at where the unit economics, the engineering, and the customer pilots actually stand today.

#QuantumComputing #IonQ #TrappedIon #QuantumAdvantage #SuperconductingQubits #Google #IBM #AmazonBraket #Boeing #Airbus #SPAC #TechIPO #EnterpriseTech #Optimization #Business #Technology #FexingoBusiness #BusinessPodcast

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