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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

By: Fexingo
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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© 2026 Fexingo. All rights reserved. Economics
Episodes
  • Quantum Computing Is Turning Biology Into Code

    Quantum Computing Is Turning Biology Into Code
    Jun 12 2026
    In this episode, Lucas and Luna explore how quantum computing is beginning to model biological systems at the molecular level, specifically protein folding and enzyme dynamics. They discuss a recent preprint from researchers at a consortium involving IBM Quantum and the University of Tokyo that used a 127-qubit processor to simulate a small protein's energy landscape with better accuracy than classical approximations. The conversation covers why biology is a natural fit for quantum advantage — because quantum systems and biological molecules both obey the laws of quantum mechanics — and the near-term implications for drug discovery and synthetic biology. No hype, just the real signal: current qubit counts can already outperform classical methods on specific biomolecular subroutines, even if full-scale protein folding is still years away. Lucas and Luna weigh the promise against the engineering reality, including error rates and the difficulty of encoding biological data into quantum circuits. A grounded look at where quantum meets life sciences in mid-2026. #QuantumComputing #Biology #ProteinFolding #DrugDiscovery #IBMQuantum #UniversityOfTokyo #MolecularSimulation #QuantumBiology #EnzymeDynamics #BiomolecularModeling #QuantumAdvantage #ErrorCorrection #Qubits #SyntheticBiology #Technology #FexingoBusiness #BusinessPodcast #QuantumPodcast Keep every episode free: buymeacoffee.com/fexingo
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    9 mins
  • How Quantum Computing Is Testing Algorithm Benchmarking Standards

    How Quantum Computing Is Testing Algorithm Benchmarking Standards
    Jun 11 2026
    Episode 45 of The Quantum Computing Podcast tackles the growing challenge of benchmarking quantum algorithms. Lucas and Luna discuss why current metrics like circuit depth and gate fidelity don't tell the full story, and how a consortium of labs is proposing a new standard called Q-score 2.0. They explore a real case from a 2026 cross-platform test involving 100-qubit processors from two different hardware vendors, where Q-score 2.0 revealed performance differences hidden by traditional benchmarks. The episode drills into the specific metric of 'algorithmic error per layer' and why it matters for practical quantum advantage. Hosts also touch on how this connects to the broader push for quantum utility in the NISQ era. A concrete, forward-looking look at what it means to truly measure quantum progress. #QuantumComputing #Benchmarking #AlgorithmBenchmarks #QScore2.0 #ErrorMitigation #NISQ #QuantumUtility #Technology #FexingoBusiness #BusinessPodcast #Podcast #LucasAndLuna #QuantumHardware #QuantumSoftware #QuantumAlgorithms #QuantumProgress #CrossPlatform #QuantumError Keep every episode free: buymeacoffee.com/fexingo
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    8 mins
  • How Quantum Computing Is Building a Software Stack

    How Quantum Computing Is Building a Software Stack
    Jun 11 2026
    Episode 44 of the Quantum Computing Podcast with Fexingo dives into the emerging software layer that makes quantum hardware usable. Lucas and Luna explore why quantum operating systems and compilers are the unsung heroes of the field, using concrete examples like IBM's Qiskit and the open-source PennyLane framework. They discuss how these tools abstract away the messy physics of qubits, allowing developers to write algorithms without needing a PhD in quantum mechanics. The conversation centers on the 'quantum software stack' — from high-level circuit design down to machine-level pulse control — and why it may determine which quantum hardware architecture wins commercially. They also touch on the talent shortage: software engineers who understand quantum concepts are rare, and companies like IonQ and Rigetti are racing to close that gap. This episode gives listeners a clear mental model of the software ecosystem powering the next generation of computing. #QuantumSoftwareStack #Qiskit #PennyLane #IBM #IonQ #Rigetti #QuantumCompilers #QuantumOperatingSystems #QubitAbstraction #PulseControl #QuantumAlgorithms #QuantumProgramming #TechPodcast #Technology #FexingoBusiness #BusinessPodcast #QuantumComputingPodcast #FutureComputing Keep every episode free: buymeacoffee.com/fexingo
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    9 mins
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