2026 10 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
- Rob Jesudason (Serendipity Capital): Why quantum investors must triangulate across rival modalities
- 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
- Helmut Katzgraber (55North): Why materials simulation beats optimization for near-term quantum
- Mehmet Sanliol (Evercore): Why quantum valuations hinge on 2030 revenue multiples and consolidation
- Brian Gaucher (ERVA): Why Engineering, Not Physics, Now Limits Quantum Progress
- Lionel Martellini (EDHEC Quantum Institute): Why business leaders need quantum awareness, not quantum washing
- Bob Sorensen (Hyperion Research): Solve real bottlenecks first, then evaluate quantum
2025 14 episodes
- Joe Ghalbouni (Ghalbouni Consulting): Algorithms, not hardware, are quantum’s real bottleneck
- Rajevic, Rayner & Goldingay (Quantum Women): Teaching quantum women to own the room
- Laurence Coldicott (Quantum.Tech): Why quantum conferences are ditching hype for practitioner case studies
- 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
- Constanza Bustamante (CNAS): Why tariffs could break America’s quantum supply chain
- Scott Buchholz (Deloitte): Why building quantum skills now beats waiting for hardware
- Scott Genin (OTI Lumionics): Classical emulation of 80 qubits still beats quantum chemistry claims
- Romana Schirhagl (QT Sense): Nanodiamonds inside living cells sense free-radical stress in real time
- Andrea Tabacchini (Quantum Brilliance): Room-temperature diamond qubits built for the edge
- Michelle Simmons (SQC): Atom-precision qubits hit 98.87% fidelity, no error correction
- Daniel Porat & Emanuele Dalla-Torre (Quantymize): Fitting an 800,000-qubit problem into 5,000
- Shahin Khan (OrionX): Why HPC Labs Are Quantum’s First Real Customer
- Frédéric Rivain (Dashlane): Why password managers need crypto-agility before Q-Day
2024 32 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
- Jannes Stubbeman (Aqora): Building a Kaggle for Quantum Hackathons
- Yianni Gamvros (Quantum Signals): Classical AI now, quantum upside for trading later
- Whurley (Strangeworks): Quantum’s real bottleneck is business translation, not hype
- Renaud Béchade (Anzaetek): Why hospitals with too little data need quantum machine learning
- Constantin Gonciulea & Charlee Stefanski: Teaching developers to think in 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
- Richard Murray (Orca): Building Photonic Quantum Computers from Telecom Parts
- Chris Bishop (Freelance Consultant): Why Quantum Careers Reward Non-Linear Paths
- Robert Sutor (Futurum Group): Why quantum needs a vendor-neutral industry view
- Kathrin Spendier (XPRIZE): A $5 million hunt for real quantum advantage
- Nardo Manaloto (Qubits Ventures): Why a quantum VC also bets on thermodynamic and biocomputing
- Bob Sorensen (Hyperion Research): Why enterprises are moving quantum back on-premises
- Dominik Ulmer (ParTec): Treating quantum computers as nodes in HPC clusters
- Lisa Lambert (Quantum Industry Canada): Why Canada Ranks Among the Top Quantum Ecosystems
- Catherine Vollgraff Heidweiller (Google Quantum AI): Building a product roadmap from quantum supremacy
- Thomas Ehmer (Merck KGaA): Why a pharma company builds its own quantum roadmap
- Yonatan Cohen (Quantum Machines): Why Control Electronics Decide How Fast Quantum Computers Scale
- Albert Lehmeyer (Quantum Careers Consulting): Quantum talent wars now rival AI hiring competition
- 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
- Suvi Lampila & Miikka Sainio (SSH Communications Security): Retrofitting a 30-year-old protocol for quantum safety
- Judith Olson (Infleqtion): Optical clocks tick thousands of times faster than microwave ones
- Cathal Mahon (DeepTech Lab Quantum): NATO picks Denmark to accelerate quantum defense startups
- Matt Martin (Oxford Instruments): What Actually Sets a Dilution Refrigerator Apart
- Alexandra Beckstein & Damir Bogdan (QAI Ventures / Quantum Basel): A privately funded quantum hub to fight Swiss deindustrialization
- Joe Fitzsimons (Horizon Quantum): Turning legacy code into quantum programs
2023 31 episodes
- Charles Roques-Carmes (Stanford): Turning optical parametric oscillators into tunable random number generators
- Matt Versaggi (College of Artificial Intelligence): Building quantum literacy in healthcare from the ground up
- Anna Knörr & Rodrigo Bravo (Quantum Ethics Project): Why quantum tech needs ethics now, not later
- Marcin Dukalski (Aramco): Quantum Computing for Subsurface Imaging in Oil and Gas
- André König (GQI): Quantum Nationalism, Export Controls, and the Race to Commercialize
- Brian Miles (AT&T): Making a Telecom Giant Quantum Ready by 2025
- Carmen Recio & Sergio Gago (Moody’s Analytics): Finding Quantum’s Real Value in Financial Risk Modeling
- Will Oliver (MIT): Why 3D Integration Is the Only Path to Scaling Qubits
- Esperanza Cuenca Gomez (Multiverse Computing): Solving real business problems with quantum-inspired software
- Murray Thom (D-Wave): Quantum annealing is already running in production
- Clarice Aiello (UCLA): How Nature’s Quantum Sensors Run Living Cells
- Niko Mohr (McKinsey): What the Quantum Monitor Reveals About Investment and Talent
- Elham Kashefi (NQCC): Why the UK built a decade-long national quantum strategy
- Celia Merzbacher (QED-C): Small quantum firms need bridges to funding and government
- Scott Genin (OTI): Quantum-Inspired Chemistry Cuts OLED Candidates by 90%
- Oliver Dial (IBM): Why scale, quality, and speed matter more than qubit count
- Yudong Cao (Zapata Computing): Betting Quantum Advantage on Generative Modeling, Not Chatbots
- Dimitri Kusnezov (DHS): Quantum’s real payoff is sensing and timing, not code-breaking
- Olivier Ezratty & Rob Whitney (Quantum Energy Initiative): Why scaling qubits could cost as much as a nuclear plant
- Kenna Hughes-Castleberry & Brian Lenahan (Quantum Strategy Institute): ten forgotten pioneers who built quantum science
- 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
- Heather West (IDC): Quantum Computing Competes With Every Other Enterprise IT Priority
- Lubinski, Langione & Gokhale (Quantum Circuits, BCG, Infleqtion): Why Quantum Benchmarks Still Don’t Agree
- Peter Chapman (IonQ): Turning Trapped-Ion Qubits Into a Manufacturing Business
- Jean-Francois Bobier (BCG): Why enterprise quantum bets need to start before the hardware is ready
- Ordoñez, Korpas & Kerenidis (Moody’s, HSBC, QCWare): Does Monte Carlo’s quadratic speedup survive contact with real hardware?
2022 13 episodes
- Stewart, Ortiz & Kogge (Center for Quantum Technologies): Three universities, one NSF-funded quantum mission
- Daniel Volz (Kipu Quantum): Compressing the Timeline to Quantum Advantage
- Sabrina Maniscalco (Algorithmiq): Quantum advantage for life sciences before fault tolerance
- Pierre Desjardins (C12): Building qubits from carbon nanotubes instead of silicon
- Mark Jackson (Quantinuum): Why compilers matter as much as qubits
- 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
- Yianni Gamvros (QCWare): Who Owns the IP When You Hire a Quantum Consultant
- Mads Bahrami (Wolfram): Bringing Quantum Computing into Mathematica’s Symbolic Engine
- Jack Krupansky (Independent Analyst): Why he’s stepping back after five years tracking quantum computing
- Alex Khan (ZebraKet): What Testing Every Amazon Braket Backend Actually Teaches You
- Bob Sutor (ColdQuanta): Why quantum sensors may beat quantum computers to market
- Eduardo Miranda & Brian Siegelwax (Plymouth): Composing music with quantum circuits
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