The New Quantum Era - innovation in quantum computing, science and technology cover art

The New Quantum Era - innovation in quantum computing, science and technology

The New Quantum Era - innovation in quantum computing, science and technology

By: Sebastian Hassinger
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Your host, Sebastian Hassinger, interviews brilliant research scientists, software developers, engineers and others actively exploring the possibilities of our new quantum era. We will cover topics in quantum computing, networking and sensing, focusing on hardware, algorithms and general theory. The show aims for accessibility - Sebastian is not a physicist - and we'll try to provide context for the terminology and glimpses at the fascinating history of this new field as it evolves in real time.(c) New Quantum Era, LLC 2026 Physics Science
Episodes
  • Quantum Workforce, Sensing, and the Long Game of Operationalization with Isabella Martinez

    Quantum Workforce, Sensing, and the Long Game of Operationalization with Isabella Martinez
    Oct 12 2026
    Isabella Martinez sits at an unusual intersection in the quantum ecosystem: she's not primarily a hardware researcher or an algorithm theorist, but a practitioner who has to make quantum work in operational environments — for customers who have real missions, real constraints, and very little patience for technology that can't be deployed. Her team at Booz Allen spans quantum computing, quantum sensing, and post-quantum cryptography, which means she's watching all three of the field's major near-term vectors simultaneously.This conversation was recorded at Quantum World Congress 2026, and it reflects the mood of that moment: sensing is on the cusp of real deployment, PQC migration is being driven by policy urgency, and quantum computing is still asking the question of when — but the "when" is getting more specific. If you work in quantum and care about how the technology actually crosses the gap from lab to mission, this episode is for you. It's also a genuinely useful listen for anyone thinking about quantum careers, workforce development, or how to build teams that can navigate a technology that doesn't yet have a playbook.What We Get IntoWhy Isabella's biomedical engineering capstone — not a physics class — shaped her entire approach to quantum: The lesson wasn't about building a better device; it was about why a life-saving tool sat unused because no one had time to get trained on it.The four-stage commercialization arc she uses to frame quantum maturity: Solve for physics, then engineering, then business case, then operationalization — and why that last step is the one the field talks about least.What quantum sensing deployment actually looks like right now: Including a vivid example of a quantum PNT sensor that "can't get wet" and what happens when you try to put it in a waterproof box without destroying its precision advantage.Why quantum sensing and quantum computing will diverge in their adoption paths: A drone operator doesn't need to know their navigation data is quantum-derived. A quantum computing user, at least for now, probably does — and that changes everything about how you design for adoption.How Booz Allen's team discovered the wrong part of a drug discovery workflow was being targeted for quantum speedup: A computational biologist and chemist sat down with the physics team and revealed that the step everyone assumed was the bottleneck wasn't the bottleneck at all.Why Isabella actively recruits people with criminology degrees, economics backgrounds, and education startup experience onto a quantum team: And why she's more worried about the rise of pure quantum-only graduate programs than she is about the talent shortage.The AI parallel that's shaping how enterprise customers think about quantum timing: Customers who watched AI capabilities leap unexpectedly are now asking "when" instead of "what" — but they're also more willing to wait for the right moment rather than jump in early.Her honest read on NISQ-era value: Real scientific output is happening on today's devices, but the early 2030s are where she expects the first commercially meaningful fault-tolerant results to appear.What the quantum community risks losing as the field matures: The collaborative, cross-disciplinary spirit that has defined the early era — and why she thinks that spirit is actually a competitive asset worth protecting.Resources & LinksGuest & OrganizationIsabella Bello Martinez — InformationWeek Author Page — Bio and links to her published articles on quantum talent and PQC for enterprise audiences.Booz Allen Quantum Sciences & Technologies Capability Sheet — Overview of Booz Allen's quantum practice, where Isabella leads products and partnerships.Articles by Isabella Martinez"5 Steps for Implementing the New Post-Quantum Cryptography Standards" — InformationWeek — Her practical framework for organizational PQC migration, including the cryptographic inventory problem discussed in this episode."Leading in the Race for Quantum Talent" — InformationWeek — Her argument for building quantum literacy at every organizational level, not just hiring PhDs — a theme central to this conversation."Can Quantum Supercharge AI?" — Velocity by Booz Allen — Co-authored piece on quantum machine learning applications in defense, health, and intelligence missions.Context & Policy"Post-Quantum Cryptography, Explained" — Booz Allen Hamilton — Booz Allen explainer co-authored by Isabella's team; useful background on the PQC migration landscape she references.NIST NCCoE — PQC Migration FAQ — Authoritative federal policy context, including algorithm finalization and binding federal deadlines."Booz Allen Wins Air Force Quantum Research Contract" — ExecutiveBiz — The $25.3M AFRL contract for quantum R&D through 2031 that frames Booz Allen's current federal quantum posture."Booz Allen Backs the Search for Quantum's Next Breakout Company" — The Quantum Insider — Booz Allen as presenting ...
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    38 mins
  • Superconducting Qubits, STAR Architecture, and Diamond-Spin Qubits with Dr. Shintaro Sato

    Superconducting Qubits, STAR Architecture, and Diamond-Spin Qubits with Dr. Shintaro Sato
    Oct 5 2026
    Dr. Shintaro Sato is a Fellow and Head of the Quantum Laboratory at Fujitsu Research, and Deputy Director of the RIKEN RQC-Fujitsu Collaboration Centre. He oversees Fujitsu's entire quantum effort — from device fabrication through error correction architecture, software, and application research — and has been building toward commercial quantum systems since Fujitsu began its serious quantum R&D push around 2020. With over 164 publications spanning graphene nanoelectronics, superconducting qubit design, and fault-tolerant architectures, he brings both deep technical credibility and a rare full-stack perspective.This conversation is timely because two significant developments converged almost simultaneously just before recording: Fujitsu announced a tin-vacancy (SnV) diamond-spin prototype developed with TU Delft and QuTech, and began testing its STAR error-correction architecture on neutral-atom hardware with startup Yaqumo — an explicit signal that Fujitsu is betting on hardware-agnostic software layers even as it races to scale its own superconducting devices. Listeners who follow quantum hardware roadmaps, fault-tolerant computing, or Japan's national quantum strategy will find this episode unusually specific and candid.What We Get IntoHow Fujitsu actually fabricates its superconducting chips — Sato explains how the team adapted Nakamura-sensei's original RIKEN designs, developed their own Josephson junction uniformity techniques, and built a research fab capability from scratch rather than licensing finished devices.Why packaging is the hardest problem at 1,000+ qubits — not the qubits themselves, but the superconducting wiring, chip-to-chip interconnects, interposers, and the sheer number of control lines running from room temperature to millikelvin. Sato is candid that his engineers "don't want to do it anymore."What STAR architecture actually does — it's not a new error-correction code; it operates at the logical gate layer above the surface code, replacing the notoriously expensive T gate with phase-rotation gates and selectively reintroducing T gates only when rotation angles would otherwise accumulate too much error. Version 3 achieves roughly a 10x accuracy improvement over version 2 for the same physical qubit count.Why STAR is hardware-agnostic — because it operates at the logical operation layer rather than the physical error-correction layer, it can in principle run on any hardware modality. Fujitsu has now begun testing it on Yaqumo's neutral-atom platform, and Sato mentions QuEra has also demonstrated STAR independently.What tin-vacancy (SnV) diamond-spin qubits are actually for — not a replacement for superconducting qubits, but a photonic interconnect technology. SnV centers emit photons that can carry quantum information between modules, potentially linking separate dilution refrigerators — a transduction approach that sidesteps one of the hardest problems in scaling superconducting systems.The speed mismatch problem in hybrid architectures — superconducting qubits operate at gigahertz speeds; nuclear spins in diamond-spin systems operate at kilohertz. Sato acknowledges this directly and frames it as an architectural challenge analogous to CPU-memory hierarchies in classical computing.What Fujitsu's open-source strategy looks like in practice — the collaboration with Osaka University on Project Octopus, which produced an open-source full-stack control and software platform, is now being adopted as part of Fujitsu's commercial offering.What 2030 actually looks like — Sato is measured: a 10,000-qubit machine will still be a "very small scale logical quantum computer," most useful for quantum chemistry in hybrid HPC+quantum workflows. Revolutionary applications will come incrementally, not all at once.The long-term vision — Sato's stated dream is a quantum computer small enough to fit in a smartphone, which he acknowledges requires entirely different physics than anything on today's roadmap.Resources & LinksGuest & OrganizationDr. Shintaro Sato — Fujitsu Quantum Day Profile — Fujitsu's own bio page covering Sato's dual role at Fujitsu Research and RIKEN RQC-Fujitsu Collaboration Centre.Shintaro Sato — ResearchGate Profile — Full publication list (164 papers, 3,096 citations); useful for tracing his path from graphene nanoelectronics to quantum architecture.Interview with Shintaro Sato — QuTech — Sato discusses the NV-center and diamond-spin collaboration with QuTech and the vision for quantum-as-a-service.Hardware Roadmap & STAR ArchitectureFujitsu Quantum Day 2026 — Sato Presentation Slides (PDF) — Primary-source slides showing the full hardware roadmap: 64 → 256 → 1,024 → 10,000+ qubits with STAR architecture milestones.Fujitsu Officially Starts 10,000+ Qubit Development — Fujitsu Press Release (Aug 2025) — Official announcement of the early-FTQC 10,000-qubit program targeting FY2030.STAR Architecture Overview — Fujitsu Global —...
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    41 mins
  • Quantum Venture Investing from the Lab to the Market with Marie Lepske

    Quantum Venture Investing from the Lab to the Market with Marie Lepske
    Sep 28 2026
    Marie Lepske brings a combination that's genuinely rare in venture: a background in applied mathematics and physics, early experience covering quantum at Runa Capital before most generalist funds knew the field existed, and now a GP seat at Constructor Capital, which closed a $110M Fund I in February 2026 with more than half its capital directed toward next-generation computing including quantum. She backed Qnami at Runa — a quantum sensing company acquired by Quantum Design in June 2026, one of the few clean sensing exits the field has produced — and Constructor's portfolio includes QuEra, which raised over $230M in a round led by Google Quantum AI and SoftBank.The conversation matters now because the quantum investment landscape is genuinely changing. SPAC activity, mega-rounds from hyperscalers, and rising valuations are pulling in non-specialist capital at the same time that the science is getting harder to evaluate from the outside. Lepske is one of the people who has to navigate that tension every day, and she's willing to name the failure modes.Founders building quantum or deep-tech companies, investors trying to understand where specialist and generalist capital intersect, and technically curious listeners who want to understand how the business side of quantum actually works will all find this episode useful.What We Get IntoWhy technical training matters at the earliest stages — and what it actually buys you when a founding team's only asset is a laboratory and an optical table, before there's even a legal entityHow the specialist-versus-generalist divide is evolving — Lepske's 2022 argument that early-stage quantum would stay specialist territory, and how she reads the arrival of Google, SoftBank, and NVIDIA in QuEra's cap tableThe due diligence framework for pre-product science startups — team provenance, patent landscape, IP legal review, and how Constructor uses its scientific advisory board to validate founders they can't fully assess internallyWhat a "no" looks like — the specific signals that make Constructor wait rather than invest, including teams with strong science but no credible path to market and IP positions that are already crowdedThe Qnami exit and what it reveals about quantum sensing — why sensing applications are currently concentrated in R&D markets, which verticals Lepske thinks will break out first, and why sensing competes with computing for buyer attentionThe SPAC problem — why the wave of quantum public listings concerns her, and why evaluating roadmap credibility requires the kind of deep familiarity that takes years to buildHow Constructor supports portfolio companies beyond capital — executive hiring, software development guidance, co-investor introductions, and the limits of that hands-on modelAI and quantum as parallel tracks — why she doesn't see AI as cannibalizing quantum talent or capital, and where she thinks the two fields will eventually convergeResources & LinksGuest & FundMarie Lepske — LinkedIn — Primary professional profile; includes keynote highlights and 2026 speaking engagementsConstructor Capital — Official Website — Fund homepage with portfolio listings, team bios, and investment thesis across DeepTech, Software Tech, and Knowledge TechConstructor Capital Fund I Close (Tech.eu, Feb 2026) — Coverage of the $110M close, check sizes ($1–10M, select up to $15M), and the university sourcing networkPortfolio Companies ReferencedQuEra — $230M+ Financing Round Announcement — The round led by Google Quantum AI and SoftBank Vision Fund 2, with NVIDIA's NVentures participatingQnami Acquisition by Quantum Design (The Quantum Insider, June 2026) — The sensing exit discussed in the episode; context on what a quantum sensing acquisition looks likeBackground ReadingQuantum Computing Report — "Venture Capital Trends in Quantum Technologies" (Runa Capital, 2022) — Lepske's co-authored market analysis, the source of her "specialist VC" thesis discussed in the episodeConstructor Capital — "Quantum Investing Playbook" (Nov 2025) — Her Paris keynote on making successful quantum investments; source of the valuation figures cited in the conversationEntangled Future — Quantum Computing Funding & Investment Landscape 2026 — Context on the $4.9B private VC figure for 2025 and the broader public commitment landscapeRecent Constructor NewsConstructor Start Demo Day Finalists (The Quantum Insider, Sept 2026) — Quantum startups among the 16 finalists announced one week before this recordingKey Quotes & InsightsOn what early-stage diligence actually looks like: > "They have only laboratory, and they have optical table which they want to show to you and you should understand if they have some interesting and useful patents or they can file them during the next one to two years."On where specialist and generalist capital divide: > "These bigger players, they're coming later. They're coming when we already investigated that this ...
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    41 mins
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