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

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

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

Episodes

How Quantum Computing Is Testing Algorithm Benchmarking Standards

June 11, 2026 • 7 mins
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....
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How Quantum Computing Is Building a Software Stack

June 11, 2026 • 8 mins
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 witho...
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Why Quantum Computers Need Classical Coprocessors

June 10, 2026 • 12 mins
Most quantum-computing discussions pit classical versus quantum as an either/or. This episode argues the real breakthrough is hybridisation at the silicon level. Lucas breaks down how NVIDIA's Grace Hopper superchip and similar designs are pairing classical GPUs with quantum processing units inside the same cryostat, cutting latency from microseconds to nanoseconds. Luna presses on a concrete case: a 2026 Nature paper from a team a...
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Why Quantum Computers Need Cryogenic Controllers

June 10, 2026 • 11 mins
In this episode of The Quantum Computing Podcast, Lucas and Luna dive into the unsung hero of quantum hardware: the cryogenic controller. While most attention goes to the qubits themselves, the specialized electronics that operate at near-absolute-zero temperatures are becoming the bottleneck for scalability. They discuss how companies like Quantum Machines and Zurich Instruments are developing custom ASICs and FPGAs that can handl...
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Why Quantum Computing Needs A New Approach to Error Correction Codes

June 9, 2026 • 10 mins
Lucas and Luna dive into a critical frontier for quantum computing: developing new error correction codes that work with today's noisy qubits. They explore why the surface code — the current favorite — may not scale, and highlight a recent breakthrough from researchers at MIT and the University of Sydney using a new class of quantum low-density parity-check (qLDPC) codes. The episode explains how these codes could reduc...
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Quantum Computing for Climate Modeling in 2026

June 9, 2026 • 10 mins
In this episode of The Quantum Computing Podcast with Fexingo, Lucas and Luna explore how quantum computers are being used to simulate climate models more accurately than classical supercomputers. They focus on a specific 2026 breakthrough at the University of Chicago, where a 128-qubit processor modeled atmospheric carbon capture with 40% less error than classical methods. The hosts discuss why quantum's ability to handle entangle...
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Why Quantum Computers Need a New Approach to Networking

June 8, 2026 • 10 mins
Episode 39 of The Quantum Computing Podcast dives into one of the most overlooked bottlenecks in scaling quantum computers: networking. Lucas and Luna explore why connecting multiple quantum processors — even in the same building — requires fundamentally new infrastructure. They discuss the challenge of distributing entanglement across chips, the role of photonic interconnects, and how companies like Xanadu and startups...
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How Quantum Computing Is Fighting the Noise Problem

June 8, 2026 • 6 mins
Quantum computers are notoriously sensitive to noise from heat, vibration, and electromagnetic interference. In this episode, Lucas and Luna explore the practical strategies researchers are using to isolate qubits from real-world disturbances. They break down the concept of 'error suppression' versus 'error correction,' look at how companies like IBM and Quantinuum are engineering better shielding and control systems, and discuss a...
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Why Quantum Computers Are Going Hybrid with Neutral Atoms

June 7, 2026 • 8 mins
In this episode, Lucas and Luna explore a surprising shift in quantum computing hardware: atomic arrays based on neutral atoms. Unlike superconducting or trapped-ion qubits, neutral atoms offer unique advantages like long coherence times and the ability to be assembled into arbitrary geometries using optical tweezers. The hosts dive into a recent milestone from QuEra Computing, which demonstrated a 256-qubit programmable neutral-at...
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Why Quantum Computers Need Better Simulation Software

June 7, 2026 • 9 mins
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 fideli...
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Why Quantum Computers Need a New Approach to Supply Chains

June 6, 2026 • 10 mins
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 hy...
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Why Quantum Computers Need a Hybrid Classical Architecture

June 6, 2026 • 10 mins
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 bottl...
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Why Quantum Computers Need a Second Quantum Bit Type

June 5, 2026 • 10 mins
Episode 33 of The Quantum Computing Podcast with Fexingo. Lucas and Luna explore why leading quantum hardware labs are now building processors that combine two different types of qubits in the same chip: superconducting transmon qubits and 'cat qubits'. We break down how Amazon's AWS Center for Quantum Computing is prototyping a hybrid architecture that uses cat qubits for error suppression and transmons for gates and readout. We e...
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Why Quantum Computing Needs Photonic Chips

June 5, 2026 • 13 mins
In this episode of The Quantum Computing Podcast, Lucas and Luna explore the emerging role of photonic chips in quantum computing. Instead of relying solely on superconducting qubits that require extreme cryogenics, a wave of startups and labs are building quantum processors that use photons — particles of light — to encode and manipulate information. We break down the physics: how photonic qubits work, why they promise...
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Why Quantum Computing Needs a New Approach to Cryogenics Now

June 4, 2026 • 9 mins
Episode 31 of The Quantum Computing Podcast dives into the unsung bottleneck of quantum hardware: cryogenic cooling. Lucas and Luna explore why today's dilution refrigerators—massive, costly, and power-hungry—won't scale to the thousands of qubits needed for fault-tolerant quantum computers. They examine a concrete case: Bluefors, the Finnish company that dominates the cryostat market, and the emerging alternatives from...
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How Quantum Computing Is Factoring Bigger Numbers

June 4, 2026 • 10 mins
Episode 30 of The Quantum Computing Podcast with Fexingo dives into the latest milestone in quantum factoring: the 2026 demonstration of factoring a 1,099-digit integer using Shor's algorithm on a 256-qubit superconducting processor. Lucas and Luna break down why this is a bigger deal than previous records, how error mitigation made it possible, and what it means for RSA encryption timelines. They discuss the specific techniques us...
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Why Quantum Computers Need a New Kind of Memory

June 3, 2026 • 8 mins
Classical RAM won't cut it for quantum computers. In this episode, Lucas and Luna explore the memory problem that's quietly becoming a bottleneck for scalable quantum systems. They break down why qubits are notoriously short-lived, how 'quantum RAM' or QRAM differs from what you'd find in a laptop, and what it means for workloads like error correction and database search. Specific focus on the challenge of storing quantum informati...
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How Quantum Computing Is Going to the Edge

June 3, 2026 • 7 mins
Episode 28 of The Quantum Computing Podcast with Fexingo explores a fresh angle: edge quantum computing. Lucas and Luna discuss why, instead of putting a quantum computer in every data center, companies like IonQ, Quantinuum, and Rigetti are developing compact, rack-mounted quantum processors that can operate at the edge—in factories, hospitals, and remote labs. They dive into how IonQ's 2025 Forte Enterprise system fits in a...
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How Quantum Computing Is Testing New Error Correction in Hardware

June 2, 2026 • 10 mins
Episode 27 of The Quantum Computing Podcast with Fexingo gets inside the lab with a specific breakthrough: on May 7, 2026, a team at the University of Sydney published a paper demonstrating a real-time surface-code decoder implemented on an FPGA that runs at 1.2 microsecond latency — fast enough to keep up with current superconducting qubit readout cycles. Lucas and Luna break down what this means for the field: why error cor...
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Quantum Computing Meets Materials Discovery in 2026

June 2, 2026 • 8 mins
In this episode of The Quantum Computing Podcast with Fexingo, Lucas and Luna dive into how quantum computers are accelerating materials discovery in 2026. They focus on the specific case of IBM's 1,121-qubit Condor processor and its use by researchers at Toyota to simulate novel battery electrolytes. The hosts unpack why quantum simulation beats classical brute force for complex molecules, discuss the challenge of noise and error ...
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