{"podcast":{"title":"The Quantum Computing Podcast with Fexingo: Qubits, Quantum Hardware, and Future Computing","slug":"the-quantum-computing-podcast-with-fexingo-qubits-quantum-hardware-and-future-computing-7871946","podcast_index_feed_id":7871946,"rss_url":"https://feeds.fexingo.com/business/the-quantum-computing-podcast.xml","website_url":"https://www.fexingo.com/","image_url":"https://audio.fexingo.com/business/the-quantum-computing-podcast/cover.png","author":"Fexingo","episode_count":62,"summary":"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 #Topologi…","last_synced_at":"2026-06-20T20:22:02.827480+00:00","page_url":"https://stenobird.com/podcast/the-quantum-computing-podcast-with-fexingo-qubits-quantum-hardware-and-future-computing-7871946"},"episode":{"title":"Why Quantum Computers Need Better Cryogenic Memory","slug":"why-quantum-computers-need-better-cryogenic-memory","published_at":"2026-06-19T08:17:31+00:00","page_url":"https://stenobird.com/podcast/the-quantum-computing-podcast-with-fexingo-qubits-quantum-hardware-and-future-computing-7871946/why-quantum-computers-need-better-cryogenic-memory","show_page_url":"https://stenobird.com/podcast/the-quantum-computing-podcast-with-fexingo-qubits-quantum-hardware-and-future-computing-7871946","url":"https://audio.fexingo.com/business/the-quantum-computing-podcast/episode-0060.mp3","audio_url":"https://audio.fexingo.com/business/the-quantum-computing-podcast/episode-0060.mp3","summary":"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 electrical signals traveling up and down cryostat wiring. Researchers at imec and MIT Lincoln Lab are testing cryogenic CMOS memory arrays designed to function below 4 kelvin. Lucas walks through the numbers: a 16-kilobyte cryo-CMOS test chip that draws under 1 milliwatt and can serve a 100-qubit processor without violating the system's thermal budget. Luna asks whether this is a sideline or a gating factor — and the answer is that without on-chip memory, scaling beyond a few hundred qubits becomes physically impossible. The hosts also touch on why this matters for the broader quantum timeline and how classical semiconductor fabs can adapt existing processes for cryo conditions. #QuantumComputing #CryogenicMemory #CryoCMOS #QubitScaling #SuperconductingQubits #DilutionRefrigerator #imec #MITLincolnLab #ThermalBudget #Millikelvin #MemoryBottleneck #QuantumHardware #ScalingChallenge #Technology #FexingoBusiness #BusinessPodcast #TechPodcast #QuantumPodcast Keep every episode free: buymeacoffee.com/fexingo","meta_description":"Lucas and Luna dig into one of the quietest bottlenecks in quantum computing: memory that works at millikelvin temperatures. Classical DRAM freezes solid…","key_points":[],"chapters":[],"topics":[],"duration_seconds":857,"processing_state":"not_requested","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/the-quantum-computing-podcast-with-fexingo-qubits-quantum-hardware-and-future-computing-7871946/episodes/why-quantum-computers-need-better-cryogenic-memory/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/the-quantum-computing-podcast-with-fexingo-qubits-quantum-hardware-and-future-computing-7871946/why-quantum-computers-need-better-cryogenic-memory.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}