『The Quantum Computing Podcast with Fexingo: Qubits, Quantum Hardware, and Future Computing』のカバーアート

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

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

著者： 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. 経済学
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  • Why Quantum Computers Need Better Simulation Software

    Why Quantum Computers Need Better Simulation Software
    2026/06/07
    Lucas and Luna explore the unsung software layer powering quantum computing's progress: simulation tools that let researchers test quantum algorithms on classical hardware before running them on expensive, error-prone quantum processors. This episode drills into the specific case of IBM's Qiskit and its open-source simulator backend, which now handles circuits with over 100 qubits on a single GPU. They discuss why simulation fidelity matters for error mitigation, how companies like Classiq and Zapata are building abstraction layers, and why 2026 has become the year 'simulation-first' design went mainstream in quantum R&D. No hype, just the concrete engineering that makes quantum computing usable today. #QuantumComputing #Simulation #Qiskit #IBM #Classiq #Zapata #QuantumSoftware #ErrorMitigation #OpenSource #GPU #Qubit #QuantumAlgorithm #TechPodcast #Technology #FexingoBusiness #BusinessPodcast #QuantumHardware #QuantumResearch Keep every episode free: buymeacoffee.com/fexingo
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    9 分
  • Why Quantum Computers Need a New Approach to Supply Chains

    Why Quantum Computers Need a New Approach to Supply Chains
    2026/06/06
    Episode 35 of The Quantum Computing Podcast explores how quantum computers are being applied to supply chain optimization — and why it's harder than it sounds. Lucas and Luna break down a real 2026 case study from a major automotive manufacturer that tried to use a 100-qubit quantum annealer to reroute its global parts logistics after a port disruption. They discuss why quantum advantage in logistics is still elusive, what hybrid classical-quantum methods look like in practice, and why the bottleneck isn't qubit count but problem encoding. Specific numbers discussed: the company's $2.3 billion logistics budget, the 15% projected savings from a classical heuristic optimizer, and the 127-qubit limit of current hardware for real-world routing problems. #QuantumComputing #SupplyChain #Logistics #Optimization #HybridComputing #AutomotiveIndustry #PortDisruption #QuantumAnnealing #D-Wave #IonQ #ClassicalHeuristics #QubitCount #ProblemEncoding #2026 #BusinessPodcast #FexingoBusiness #Technology #QuantumHardware Keep every episode free: buymeacoffee.com/fexingo
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    10 分
  • Why Quantum Computers Need a Hybrid Classical Architecture

    Why Quantum Computers Need a Hybrid Classical Architecture
    2026/06/06
    Episode 34 of The Quantum Computing Podcast explores the emerging architecture that pairs quantum processors with classical co-processors to handle error correction, control, and optimization. Lucas and Luna break down how IBM, Google, and startups like PsiQuantum are integrating classical compute—specifically FPGAs and ASICs—alongside qubits to make quantum systems practical. They discuss the problem of classical bottlenecks in quantum error decoding, the role of hybrid algorithms like variational quantum eigensolvers, and why the quantum computer of 2028 might look more like a supercomputer with a quantum accelerator card. Specific numbers: current quantum error correction requires classical decoding latencies under one microsecond per cycle, and the leading systems need 100-plus classical bits to control each qubit. #HybridQuantumArchitecture #ClassicalCoProcessor #QuantumErrorCorrection #FPGA #ASIC #IBM #Google #PsiQuantum #QuantumControlElectronics #VariationalQuantumEigensolver #QuantumAccelerator #QuantumSupremacy #NoisyIntermediateScale #FaultTolerantQuantum #Technology #QuantumComputingPodcast #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo
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    11 分
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