2026 16 episodes
- Steve Orrin (Intel): Post-quantum migration deadlines are already here
- Rob Jesudason (Serendipity Capital): Why quantum investors must triangulate across rival modalities
- Julien Camirand Lemyre (Nord Quantique): One Cavity, One Error-Corrected Qubit
- Helmut Katzgraber (55North): Why materials simulation beats optimization for near-term quantum
- Robert Wille (Munich Quantum Software Company): Why quantum needs chip-design tools, not just algorithms
- Sebastian Hassinger (The New Quantum Era): why neutral atoms lead the qubit race for now
- Klea Dhmitri (Hamamatsu): Photonics as the hidden backbone of quantum hardware scaling
- Brian Gaucher (ERVA): Why Engineering, Not Physics, Now Limits Quantum Progress
- Michaela Eichinger (Quantum Machines): Why classical compute and HPC integration define useful quantum
- Dorit Dor (QBeat Ventures): Why quantum needs go-to-market discipline, not just tech
- Matt Kinsella (Infleqtion): Why Neutral Atoms Build Clocks, Sensors, and Qubits Alike
- Tom Darras (Welinq): Scaling quantum computers by banking entanglement in quantum memories
- Bob Sorensen (Hyperion Research): Solve real bottlenecks first, then evaluate quantum
- Joab Rosenberg (Deep33): betting on commercial quantum value by 2027
- 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 16 episodes
- Kike Miralles (Intel Capital): Why logical qubits, not qubit counts, now matter most
- 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
- Vijoy Pandey & Reza Nejabati (Cisco): Skip the QPU, build the entanglement network
- Bert de Jong (Berkeley Lab QSA): Why DOE science needs far less precision than cryptography
- Sebastian Weidt (Universal Quantum): Why scaling trapped ions beats rushing NISQ to market
- Tal David (Quantum Art): Scaling trapped ions with multi-qubit gates instead of shuttling
- Preeti Chalsani & Harley Johnson (IQMP): How Illinois built a $500M quantum hub from scratch
- Michele Dallari (Planckian): scaling superconducting qubits with just two control lines
- 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
- Maud Vinet (Quobly): 100,000 Qubits Per Wafer, But Control Is The Hard Part
- David Rivas (Rigetti): Why vertical integration and chiplets scale superconducting qubits
- Matthijs Rijlaarsdam (QuantWare): Why fan-out, not qubit count, is the real scaling wall
- Konstantinos Karagiannis (Protiviti): Harvest-now-decrypt-later means the clock is already ticking
- Shahin Khan (OrionX): Why HPC Labs Are Quantum’s First Real Customer
2024 22 episodes
- Tobias Lindstrom (NPL): Why national labs won’t crown a quantum computing winner
- Jannes Stubbeman (Aqora): Building a Kaggle for Quantum Hackathons
- Shmuel Bachinsky (Quantum Transistors): why diamond qubits, not silicon, get you to a universal processor
- Rob Schoelkopf & Ray Smets (Quantum Circuits): Catching qubit errors at the hardware level
- Richard Murray (Orca): Building Photonic Quantum Computers from Telecom Parts
- Keysight Technologies (Lon Hintze, Clayton Crocker, John Dorighi, Philip Krantz): Test tools spanning every quantum modality
- Nardo Manaloto (Qubits Ventures): Why a quantum VC also bets on thermodynamic and biocomputing
- Lute Maleki (OEwaves): Why narrow linewidth lasers are quantum tech’s overlooked bottleneck
- Dominik Ulmer (ParTec): Treating quantum computers as nodes in HPC clusters
- Nick Farina (EeroQ): Trapping electrons on helium to build qubits
- Catherine Vollgraff Heidweiller (Google Quantum AI): Building a product roadmap from quantum supremacy
- Yonatan Cohen (Quantum Machines): Why Control Electronics Decide How Fast Quantum Computers Scale
- 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
- Judith Olson (Infleqtion): Optical clocks tick thousands of times faster than microwave ones
- Andrei Dragomir (Aquark Technologies): Shrinking Cold Atom Sensors to Phone Size
- Chris Ballance (Oxford Ionics): Trapped Ions on a Classical Chip, No Quantum Fab Needed
- Nathan Shammah (Unitary Fund): Open source as quantum’s missing infrastructure
- 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
- Jack Krupansky (Independent Analyst): Why Quantum Computing Still Lacks Real Utility
2023 25 episodes
- Earl Campbell (Riverlane): Why Logical Qubit Counts Hinge on Error Rates
- 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
- Sean Sullivan and Manish Singh (MemQ): Rare Earth Ions in Silicon for Quantum Repeaters
- Kanav Setia (QBraid): Access Every Quantum Computer From One Platform
- Ish Dhand (QC Design): Selling fault-tolerant blueprints instead of building qubits
- Tommaso Demarie (Entropica Labs): Building the middleware layer for fault-tolerant quantum computing
- Will Oliver (MIT): Why 3D Integration Is the Only Path to Scaling Qubits
- Ramy Shelbaya (Quantum Dice): Why Weak Encryption Keys Undermine Strong Algorithms
- Murray Thom (D-Wave): Quantum annealing is already running in production
- Josh Savory (Quantinuum): Why 32 Well-Behaved Qubits Beat Hundreds of Noisy Ones
- Stephanie Simmons (Photonic): Why photonic interconnects, not more qubits, unlock fault tolerance
- Himadri Majumdar and Janne Lehtinen (SemiQon): Hole spin qubits that operate above 1 kelvin
- Vishal Chatrath (QuantrolOx): Autopilot software that tunes qubits every microsecond
- Oliver Dial (IBM): Why scale, quality, and speed matter more than qubit count
- Karla Loida (DLR): Betting €740 Million on Every Quantum Hardware Platform at Once
- Olivier Ezratty & Rob Whitney (Quantum Energy Initiative): Why scaling qubits could cost as much as a nuclear plant
- Sam Stanwyck (NVIDIA): Why quantum code needs to live inside classical code
- 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
- Peter Chapman (IonQ): Turning Trapped-Ion Qubits Into a Manufacturing Business
- Andrew Dzurak (Diraq): Why Silicon Spin Qubits Can Ride Existing Chip Fabs
- Jean-Francois Bobier (BCG): Why enterprise quantum bets need to start before the hardware is ready
2022 15 episodes
- Aharon Brodutch & Ilia Khait (Entangled Networks): Optical links to stitch small QPUs into one machine
- Noel Goddard (Qunnect): Turning Telecom Fiber into Quantum Secure Links
- Wil Oxford (Anametric): Why QKD fell out of favor and random numbers took its place
- Shai Machnes (Qruise): Automating the tedious calibration work of building quantum computers
- Théau Peronnin (Alice and Bob): Cat Qubits That Fix Their Own Bit Flips
- Alex Keesling & Nate Gemelke (QuEra): Why analog neutral atoms may reach fault tolerance first
- Pierre Desjardins (C12): Building qubits from carbon nanotubes instead of silicon
- Max Sich (Aegiq): Why selling single photons comes before selling quantum computers
- 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
- Alireza Najafi-Yazdi (Anyon Systems): How full-stack control keeps quantum computers running unattended
- 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
- Simon Phillips (OQC): Why superconducting quantum computers need downtime between jobs
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