Quantum Computing Business with Fexingo: Hardware, Software, and Enterprise Quantum

Episode 4 of Quantum Computing Business with Fexingo dives into the real-world business case for quantum in drug discovery. Lucas and Luna examine 2025 data from the first pharma companies posting cost-per-molecule reductions using noisy intermediate-scale quantum (NISQ) hardware. They break down a concrete example: how one mid-size biotech simulated a 20-atom molecule classically for $80,000 per...

Episode 3 dives into quantum error correction (QEC) — the unsung engineering challenge that determines whether a quantum computer actually works. Lucas and Luna break down the surface code, logical qubits vs. physical qubits, and why Google's Sycamore processor needed a 1,000-to-1 overhead to run a single logical qubit. They contrast superconducting and trapped-ion approaches, explain why error th...

In episode 2, Lucas and Luna explore the concrete business applications of quantum computing today — not theoretical advantage, but actual hybrid classical-quantum workflows running in production. They walk through how financial institutions are using quantum-inspired algorithms for portfolio optimization, how pharmaceutical companies are simulating molecular interactions on current noisy quantum...

In the debut episode of Quantum Computing Business, Lucas and Luna drill into a single concrete number: IonQ's 2025 revenue guidance of $95 million at the midpoint. They trace how this quantum-computing pure-play went from academic spinout to public company via SPAC, examine its trapped-ion architecture versus superconducting qubits from Google and IBM, and ask what 'quantum advantage' actually me...