2026 7 episodes
- Steve Gibson (JIJ): Why 80% of their optimization projects skip quantum hardware entirely
- Sumit Kapur (Zapata Quantum): Rebuilding after a failed SPAC to chase quantum utility
- Stephen DiAdamo (Qoro Quantum): Middleware that turns 150,000 lines of quantum code into 20
- Corey O’Meara (E.ON): Finding real quantum scaling advantage in grid trading
- Lionel Martellini (EDHEC Quantum Institute): Why business leaders need quantum awareness, not quantum washing
- Gil Kalai (Hebrew University): Why correlated noise may block quantum error correction for good
- Scott Aaronson (UT Austin): Why quantum skepticism keeps losing ground
2025 8 episodes
- Joe Ghalbouni (Ghalbouni Consulting): Algorithms, not hardware, are quantum’s real bottleneck
- Bill Wisotsky (SAS): Why quantum advantage means less data, not just less time
- Sergio Gago (Moody’s/Cloudera): No quantum advantage in finance today, but the gap is closing
- Scott Buchholz (Deloitte): Why building quantum skills now beats waiting for hardware
- Tal David (Quantum Art): Scaling trapped ions with multi-qubit gates instead of shuttling
- Scott Genin (OTI Lumionics): Classical emulation of 80 qubits still beats quantum chemistry claims
- Andrea Tabacchini (Quantum Brilliance): Room-temperature diamond qubits built for the edge
- Daniel Porat & Emanuele Dalla-Torre (Quantymize): Fitting an 800,000-qubit problem into 5,000
2024 16 episodes
- Simon Borger (Patent Attorney): Quantum Patent Filings Are Exploding, But No Trolls Yet
- Zoran Krunic (Amgen): Why Small Clinical Trial Datasets Suit Quantum Machine Learning
- Toby Cubitt (Phasecraft): Why gate fidelity, not qubit count, sets quantum’s timeline
- Yianni Gamvros (Quantum Signals): Classical AI now, quantum upside for trading later
- Constantin Gonciulea & Charlee Stefanski: Teaching developers to think in quantum algorithms
- Mariia Mykhailova (Microsoft): Bridging the gap from qubit basics to real quantum algorithms
- Hrant Gharibyan (BlueQubit): Hardware-agnostic software for near-term quantum advantage
- Shengtao Wang & Jonathan Wurtz (QuEra): Why neutral atom error correction could make quantum chemistry useful
- Chris (ChatGPT): An AI’s Take on Hybrid Quantum-HPC Integration
- Mike Biercuk & Natasha Sachdeva (Q-CTRL): Error tools make today’s noisy hardware solve real problems
- Kathrin Spendier (XPRIZE): A $5 million hunt for real quantum advantage
- Bob Sorensen (Hyperion Research): Why enterprises are moving quantum back on-premises
- Nikolaj Zinner (Kvantify): Faster VQE Algorithms for Real-World Drug Discovery
- MIT iQuHack Winners (QuEra Challenge): Cracking Max Independent Set on Neutral Atoms
- Enrique Solano & Daniel Volz (Kipu Quantum): Quantum Advantage Is Closer Than the Consensus Thinks
- Joe Fitzsimons (Horizon Quantum): Turning legacy code into quantum programs
2023 16 episodes
- Misha Lukin, Dolev Bluvstein & Harry Zhou (Harvard/QuEra): 48 logical qubits from moving atoms
- Charles Roques-Carmes (Stanford): Turning optical parametric oscillators into tunable random number generators
- Marcin Dukalski (Aramco): Quantum Computing for Subsurface Imaging in Oil and Gas
- Carmen Recio & Sergio Gago (Moody’s Analytics): Finding Quantum’s Real Value in Financial Risk Modeling
- Murray Thom (D-Wave): Quantum annealing is already running in production
- Elham Kashefi (NQCC): Why the UK built a decade-long national quantum strategy
- Scott Genin (OTI): Quantum-Inspired Chemistry Cuts OLED Candidates by 90%
- Yudong Cao (Zapata Computing): Betting Quantum Advantage on Generative Modeling, Not Chatbots
- Nir Minerbi (Classiq): why gate-level coding breaks down past a few dozen qubits
- Matt Johnson (QCWare): Application software still waits on quantum hardware to mature
- Sam Stanwyck (NVIDIA): Why quantum code needs to live inside classical code
- Bob Coecke (Quantinuum): How Diagrams Replaced Equations in Quantum Theory
- Roman Orus (Multiverse Computing): Why vertical expertise beats quantum-first thinking
- Helmut Katzgraber (Amazon): Why Quantum Projects Must Start With a Business Problem
- Lubinski, Langione & Gokhale (Quantum Circuits, BCG, Infleqtion): Why Quantum Benchmarks Still Don’t Agree
- Ordoñez, Korpas & Kerenidis (Moody’s, HSBC, QCWare): Does Monte Carlo’s quadratic speedup survive contact with real hardware?
2022 7 episodes
- Daniel Volz (Kipu Quantum): Compressing the Timeline to Quantum Advantage
- Sabrina Maniscalco (Algorithmiq): Quantum advantage for life sciences before fault tolerance
- Thom, Lorenzo & Gago (D-Wave, InspirationQ, Moody’s): Why honest TSP benchmarks matter more than hype
- Aurelie Helouis (InfinityQ): An analog quantum computer built for optimization, not gates
- Mads Bahrami (Wolfram): Bringing Quantum Computing into Mathematica’s Symbolic Engine
- Alex Khan (ZebraKet): What Testing Every Amazon Braket Backend Actually Teaches You
- Eduardo Miranda & Brian Siegelwax (Plymouth): Composing music with quantum circuits
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