2026 10 episodes
- Steve Gibson (JIJ): Why 80% of their optimization projects skip quantum hardware entirely
- 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
- Mehmet Sanliol (Evercore): Why quantum valuations hinge on 2030 revenue multiples and consolidation
- Robert Wille (Munich Quantum Software Company): Why quantum needs chip-design tools, not just algorithms
- Lionel Martellini (EDHEC Quantum Institute): Why business leaders need quantum awareness, not quantum washing
- Tom Darras (Welinq): Scaling quantum computers by banking entanglement in quantum memories
- Christian Weedbrook (Xanadu): Scaling photonic quantum computers with optical networking
- Vishal Chatrath (QuantrolOx): Turning weeklong qubit characterization into a 25-minute automated run
- Jonathan Reiner (Quantum Machines): Why Control Electronics Can’t Bottleneck Error Correction
2025 9 episodes
- Bill Wisotsky (SAS): Why quantum advantage means less data, not just less time
- Vijoy Pandey & Reza Nejabati (Cisco): Skip the QPU, build the entanglement network
- Sebastian Weidt (Universal Quantum): Why scaling trapped ions beats rushing NISQ to market
- 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
- Michele Dallari (Planckian): scaling superconducting qubits with just two control lines
- Michelle Simmons (SQC): Atom-precision qubits hit 98.87% fidelity, no error correction
- David Rivas (Rigetti): Why vertical integration and chiplets scale superconducting qubits
- Daniel Porat & Emanuele Dalla-Torre (Quantymize): Fitting an 800,000-qubit problem into 5,000
2024 24 episodes
- 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
- Mariia Mykhailova (Microsoft): Bridging the gap from qubit basics to real quantum algorithms
- Hrant Gharibyan (BlueQubit): Hardware-agnostic software for near-term quantum advantage
- Chris (ChatGPT): An AI’s Take on Hybrid Quantum-HPC Integration
- Robert Sutor (Futurum Group): Why quantum needs a vendor-neutral industry view
- 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
- Dominik Ulmer (ParTec): Treating quantum computers as nodes in HPC clusters
- Yonatan Cohen (Quantum Machines): Why Control Electronics Decide How Fast Quantum Computers Scale
- 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
- Florian Neukart (Terra Quantum): One Qubit, Many Products, From Sensing To Cryptography
- Niccolo Somaschi (Quandela): Photons and semiconductors combine for useful quantum computing
- Nathan Shammah (Unitary Fund): Open source as quantum’s missing infrastructure
- Jack Krupansky (Independent Analyst): Why Quantum Computing Still Lacks Real Utility
- Joe Fitzsimons (Horizon Quantum): Turning legacy code into quantum programs
2023 26 episodes
- Earl Campbell (Riverlane): Why Logical Qubit Counts Hinge on Error Rates
- Marcin Dukalski (Aramco): Quantum Computing for Subsurface Imaging in Oil and Gas
- Kanav Setia (QBraid): Access Every Quantum Computer From One Platform
- Ish Dhand (QC Design): Selling fault-tolerant blueprints instead of building qubits
- Rebecca Krauthamer (QuSecure): Deploying Post-Quantum Crypto Without Rip-and-Replace
- Tommaso Demarie (Entropica Labs): Building the middleware layer for fault-tolerant quantum computing
- Carmen Recio & Sergio Gago (Moody’s Analytics): Finding Quantum’s Real Value in Financial Risk Modeling
- Esperanza Cuenca Gomez (Multiverse Computing): Solving real business problems with quantum-inspired software
- Murray Thom (D-Wave): Quantum annealing is already running in production
- Denis Mandich (Qrypt): Replacing Key Distribution with Key Generation at the Endpoints
- Josh Savory (Quantinuum): Why 32 Well-Behaved Qubits Beat Hundreds of Noisy Ones
- Elham Kashefi (NQCC): Why the UK built a decade-long national quantum strategy
- Vishal Chatrath (QuantrolOx): Autopilot software that tunes qubits every microsecond
- 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
- Niels Bultink (Qblox): Why Control Electronics, Not Qubits, Cap Scale
- 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
- Michael Biercuk (Q-Ctrl): Quantum control as the missing layer for stable hardware
- Ordoñez, Korpas & Kerenidis (Moody’s, HSBC, QCWare): Does Monte Carlo’s quadratic speedup survive contact with real hardware?
2022 14 episodes
- Aharon Brodutch & Ilia Khait (Entangled Networks): Optical links to stitch small QPUs into one machine
- Shai Machnes (Qruise): Automating the tedious calibration work of building quantum computers
- Daniel Volz (Kipu Quantum): Compressing the Timeline to Quantum Advantage
- Alex Keesling & Nate Gemelke (QuEra): Why analog neutral atoms may reach fault tolerance first
- Sabrina Maniscalco (Algorithmiq): Quantum advantage for life sciences before fault tolerance
- 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
- Alireza Najafi-Yazdi (Anyon Systems): How full-stack control keeps quantum computers running unattended
- 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
- Eduardo Miranda & Brian Siegelwax (Plymouth): Composing music with quantum circuits
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