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

Fexingo

This is a podcast about the current state and near-term future of quantum computing. Lucas and Luna examine the science and business of quantum hardware, from superconducting qubits to trapped ions and topological systems. They discuss the engineering challenges of error correction, the race to quantum supremacy, and the realistic timelines for commercial quantum advantage. Each episode focuses on a specific company, research paper, or technology milestone — Google's Sycamore, IBM's Quantum System One, IonQ's trapped-ion processors, or China's quantum communication network. Lucas brings a journalist's rigor to the technical details, while Luna pushes for clarity on what these advances mean for cryptography, drug discovery, optimization, and finance. This show is for listeners who want to understand quantum computing without hype — the real bottlenecks, the credible roadmaps, and the startups that might actually deliver. How close are we to a fault-tolerant quantum computer? Which industries will be transformed first? And which approaches are likely dead ends? #QuantumComputing #Qubits #QuantumHardware #QuantumSupremacy #ErrorCorrection #SuperconductingQubits #TrappedIons #TopologicalQubits #GoogleSycamore #IBMQuantum #IonQ #QuantumCryptography #DrugDiscovery #Optimization #Technology #Business #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo

  1. 2d ago

    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-point improvement over classical deep learning. The hosts break down how quantum superposition and entanglement allow the model to explore vastly more molecular conformations simultaneously, catching rare side effects that classical models miss because they're trained on sparse labels. They also discuss the practical roadblocks: current quantum hardware still has too few logical qubits, and the dataset preparation requires domain experts who understand both quantum chemistry and regulatory science. Lucas offers a concrete timeline for when this capability might reach routine preclinical testing, and Luna pushes back on whether the pharma industry's risk aversion will slow adoption. A focused, accessible look at a real application where quantum computers are already outperforming classical ones. #QuantumComputing #DrugSafety #AdverseDrugReactions #QuantumMachineLearning #InsilicoMedicine #MolecularSimulation #QuantumChemistry #DrugDiscovery #QuantumHardware #PreclinicalTesting #LiverToxicity #HybridQuantumClassical #ClinicalTrials #RegulatoryScience #QuantumQubits #Technology #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo

About

This is a podcast about the current state and near-term future of quantum computing. Lucas and Luna examine the science and business of quantum hardware, from superconducting qubits to trapped ions and topological systems. They discuss the engineering challenges of error correction, the race to quantum supremacy, and the realistic timelines for commercial quantum advantage. Each episode focuses on a specific company, research paper, or technology milestone — Google's Sycamore, IBM's Quantum System One, IonQ's trapped-ion processors, or China's quantum communication network. Lucas brings a journalist's rigor to the technical details, while Luna pushes for clarity on what these advances mean for cryptography, drug discovery, optimization, and finance. This show is for listeners who want to understand quantum computing without hype — the real bottlenecks, the credible roadmaps, and the startups that might actually deliver. How close are we to a fault-tolerant quantum computer? Which industries will be transformed first? And which approaches are likely dead ends? #QuantumComputing #Qubits #QuantumHardware #QuantumSupremacy #ErrorCorrection #SuperconductingQubits #TrappedIons #TopologicalQubits #GoogleSycamore #IBMQuantum #IonQ #QuantumCryptography #DrugDiscovery #Optimization #Technology #Business #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo

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