Tag: ErrorCorrection
Julien Camirand Lemyre (Nord Quantique): One Cavity, One Error-Corrected Qubit
Julien Camirand Lemire, co-founder and CEO of Nord Quantique, is interviewed by Yuval Boger. Julien discusses Nord Quantique’s bosonic code approach, which uses microwave photons in superconducting cavities to achieve quantum error correction without large qubit overhead, including their GKP and Tesseract code demonstrations and a quantum error correction gain that has more than doubled…
Sebastian Hassinger (The New Quantum Era): why neutral atoms lead the qubit race for now
This week, I interview Sebastian Hassinger, host of The New Quantum Era podcast, and author of a new book by the same name. Sebastian and I have many things in common beyond our jobs in quantum. We are both podcasters, neither of us has a PhD, and we are both authors of new books -…
Michaela Eichinger (Quantum Machines): Why classical compute and HPC integration define useful quantum
Yuval Boger interviews Michaela Eichinger, a product solutions physicist at Quantum Machines and the author of a widely read quantum computing newsletter. They discuss her transition from academia to industry, her fascination with systems-level views of the quantum stack, and the role of communication in building the quantum ecosystem. The conversation covers the state of…
Gil Kalai (Hebrew University): Why correlated noise may block quantum error correction for good
Yuval Boger interviews mathematician Gil Kalai about his long-standing skepticism regarding scalable quantum computing. Kalai explains two main arguments behind his theory: correlated noise that may defeat quantum error correction and complexity-based limits on NISQ devices achieving quantum supremacy. They discuss experimental claims such as Google’s 2019 result, potential tests of Kalai’s conjectures, and the…
Bob Sorensen (Hyperion Research): Solve real bottlenecks first, then evaluate quantum
Yuval Boger interviews Bob Sorensen of Hyperion Research about the growing convergence of quantum computing and high-performance computing. They outline a problem-first adoption playbook for HPC centers: identify bottlenecks, benchmark classical options and costs, then evaluate quantum as an accelerator with clear ROI and procurement targets. Sorensen weighs cloud versus on‑prem tradeoffs, argues quantum hardware…
Christian Weedbrook (Xanadu): Scaling photonic quantum computers with optical networking
Yuval Boger interviews Christian Weedbrook, founder and CEO of Xanadu. They discuss Xanadu’s photonic approach to gate-based quantum computing, the advantages of room-temperature operation, and the company’s plan to scale through optical networking. Christian also describes PennyLane, photonic error correction, customer engagements, and Xanadu’s target of building a 500-logical-qubit system by 2029–2030. The conversation also…
Scott Aaronson (UT Austin): Why quantum skepticism keeps losing ground
Yuval Boger interviews Scott Aaronson, a UT Austin computer science professor known for his work on quantum computing theory. They explore the current state of quantum hardware, the narrowing case for quantum skepticism, and the realistic path toward fault-tolerant, useful quantum machines. The conversation also covers quantum algorithms, cryptography risks, ethics, hype in commercialization, and…
Vishal Chatrath (QuantrolOx): Turning weeklong qubit characterization into a 25-minute automated run
Yuval Boger interviews Vishal Chatrath, CEO and co-founder of QuantrolOx, a quantum control software company focused on automating qubit tuning and calibration. They discuss how automation accelerates chip characterization, supports scalable manufacturing, and feeds into real-time calibration and error correction. The conversation covers competition in quantum control, open architectures, fundraising challenges, and what it takes…
Jonathan Reiner (Quantum Machines): Why Control Electronics Can’t Bottleneck Error Correction
Yuval Boger interviews Jonathan, a physicist who leads the Product Solutions team at Quantum Machines. They discuss how quantum control challenges have evolved from rapid experiment iteration to squeezing higher fidelities and enabling low-latency, accelerator-connected workflows needed for quantum error correction. Jonathan describes QM’s stack—from QUA and calibration libraries to Qualibrate, and OPX-NIC / DGX…
Kike Miralles (Intel Capital): Why logical qubits, not qubit counts, now matter most
Kike Miralles, investment director at Intel Capital, is interviewd by Yuval Boger. They speak about corporate venture investing in quantum technologies. Kike explains Intel Capital’s focus on quantum hardware and middleware, compares leading modalities, and outlines emerging themes like QPU scale-out networking, hybrid classical–quantum error correction, and the growing role of logical qubits as a…
Bert de Jong (Berkeley Lab QSA): Why DOE science needs far less precision than cryptography
Bert de Jong, Director of the Quantum Systems Accelerator (QSA) at Berkeley Lab, is interviewed by Yuval Boger. Bert describes how the center develops superconducting, trapped-ion, and neutral-atom technologies in parallel, and the importance of certification in verifying quantum computations. They discuss the roadmap for integrating quantum into HPC at NERSC, the cost and scaling…
Sebastian Weidt (Universal Quantum): Why scaling trapped ions beats rushing NISQ to market
My guest today is Sebastian Weidt, CEO and co-founder of Universal Quantum. We discuss his company’s unique approach to building scalable trapped-ion quantum computers. Sebastian explains how Universal Quantum focuses on overcoming key scaling challenges—such as error-free modular connections, laser-free control, and integrated electronics—rather than rushing small systems to market. He contrasts their 70K cooling…
Tal David (Quantum Art): Scaling trapped ions with multi-qubit gates instead of shuttling
Tal David, CEO and co-founder of Quantum Art, is my guest on this week’s Superposition Guy’s Podcast. We delve into Quantum Art’s focus on full-stack quantum computing using trapped ions. Tal and I explore their unique architecture, which emphasizes sophisticated multi-qubit gate operations, the use of optical tweezers for segmenting ion chains, and dynamic reconfigurability…
Scott Genin (OTI Lumionics): Classical emulation of 80 qubits still beats quantum chemistry claims
My guest today is Scott Genin, Vice President of Materials Discovery at OTI Lumionics. Scott outlines his role in overseeing materials design and simulation programs, focusing on OLEDs and cathode patterning materials. He highlights OTI’s growth and its strategic integration of quantum-inspired methods due to current limitations in quantum computing. Scott remains optimistic about the…
Michelle Simmons (SQC): Atom-precision qubits hit 98.87% fidelity, no error correction
Michelle Simmons, CEO of Silicon Quantum Computing, is interviewed by Yuval Boger. Michelle’s company uses phosphorus atoms in silicon-28 to create high-fidelity, low-noise qubits with exceptional coherence. She highlights their multi-nucleus spin registers for all-to-all connectivity and native multi-qubit operations, achieving what she describes as industry-leading fidelities. We discuss their three products—quantum machine learning, analog…
Maud Vinet (Quobly): 100,000 Qubits Per Wafer, But Control Is The Hard Part
Maud Vinet, CEO and co-founder of Quobly. We discuss the company’s mission to build large-scale quantum computers based on silicon qubits. Maud explains how silicon offers unique advantages in scalability, leveraging decades of semiconductor expertise, and why the biggest challenge lies in qubit control rather than fabrication yield. Maud shares insights on her transition from…
David Rivas (Rigetti): Why vertical integration and chiplets scale superconducting qubits
David Rivas, Chief Technology Officer at Rigetti Computing, joins Yuval Boger to discuss Rigetti’s approach to building superconducting quantum computers. He highlights the company’s full-stack capabilities, including its captive quantum fab and proprietary control systems, emphasizing the advantages of vertical integration for optimizing performance. David explains Rigetti’s chiplet-based approach to scaling quantum processors, a key…
Matthijs Rijlaarsdam (QuantWare): Why fan-out, not qubit count, is the real scaling wall
Matthijs Rijlaarsdam, co-founder and CEO of QuantWare, joins Yuval Boger to discuss how his company is enabling the scaling of quantum processors through its VIO technology, a 3D chip architecture that addresses key bottlenecks in scaling qubits. Matthijs explains the three major challenges—fan-out, integration of components, and yield—and how VIO solves these to facilitate quantum…
Yuval Boger (QuEra): Why Google bet on neutral atoms for logical qubits
Yuval Boger, Chief Commercial Officer at QuEra, is interviewed by guest host Jack Krupanski. Yuval shares his journey into quantum, discusses the recent Google investment, QuEra’s roadmap, the importance of government support, and the potential for a “quantum winter.” Jack and Yuval also discuss the evolution of quantum computing as part of the broader HPC…
Rob Schoelkopf & Ray Smets (Quantum Circuits): Catching qubit errors at the hardware level
Rob Schoelkopf, co-founder and chief scientist at Quantum Circuits Inc., and Ray Smets, CEO, are interviewed by Yuval Boger. Rob shares insights on Quantum Circuits’ unique dual-rail qubit approach, which focuses on reducing error rates through error detection and correction at the hardware level. Ray emphasizes the company’s shift from scientific research to commercial implementation,…
Renaud Béchade (Anzaetek): Why hospitals with too little data need quantum machine learning
Renaud Béchade, founder of Anzaetek, a quantum software company based in Korea, is interviewed by Yuval Boger. Renaud shares insights about the company’s work in quantum machine learning (QML) for hospitals, focusing on managing limited medical data, federated learning, and potential quantum solutions for personalized medicine. They also discuss hardware-software co-design, the quantum ecosystem in…
Mariia Mykhailova (Microsoft): Bridging the gap from qubit basics to real quantum algorithms
Mariia Mikhailova, Principal Quantum Software Engineer at Microsoft Quantum, and author of “Quantum Programming in Depth”, is interviewed by Yuval Boger. Mariia describes the book which addresses the practical skills needed to implement real quantum algorithms. She emphasizes the importance of having a solid foundation in quantum programming and highlights her approach to teaching, which…
Shengtao Wang & Jonathan Wurtz (QuEra): Why neutral atom error correction could make quantum chemistry useful
Shengtao Wang, Quantum Algorithms and Applications manager at QuEra, and Jonathan Wurtz, a Senior Scientist in his group, are my guests on This week’s Superposition Guy’s Podcast. We delve into their work at QuEra, focusing on quantum algorithm development and the applications of neutral atom quantum computers. Shengtao shares insights on the evolving landscape of…
Mike Biercuk & Natasha Sachdeva (Q-CTRL): Error tools make today’s noisy hardware solve real problems
Natasha Sachdeva and Michael Biercuk from Q-CTRL are interviewed by Yuval Boger. They discussed their groundbreaking research on combinatorial optimization problems, achieving significant results with Q-CTRL’s error tools and modified algorithms. Michael highlighted their dual focus on quantum computing and sensing, emphasizing the practical applications of their technology. They also addressed the practical implications for…
Catherine Vollgraff Heidweiller (Google Quantum AI): Building a product roadmap from quantum supremacy
Catherine Vollgraff Heidweiller, product manager at Google Quantum AI, is interviewed by Yuval Boger. Catherine describes the development of full-stack quantum computing, the importance of their 2019 quantum supremacy milestone, Google’s product focus, and the early customers they work with. We discuss the evaluation of quantum usefulness, their error correction roadmap, the intersection of quantum…
Thomas Ehmer (Merck KGaA): Why a pharma company builds its own quantum roadmap
Thomas Ehmer from Merck is interviewed by Yuval Boger. Thomas discusses the rapid advancements in quantum computing architectures, recent breakthroughs in logical qubits, and quantum communication protocols. He describes potential quantum applications in logistics optimization and material sciences, highlighting collaborative efforts within initiatives like QUTAC. Thomas contemplates the necessity of in-house quantum computing resources, reflects…
Chris Ballance (Oxford Ionics): Trapped Ions on a Classical Chip, No Quantum Fab Needed
Chris Ballance, co-founder and CEO of Oxford Ionics, is interviewed by Yuval Boger. Chris describes their unique trapped ion quantum computers using integrated electronics for scalability and low error rates. They cover development plans, including plans for scaling up to 50-100 qubit systems and the development roadmap towards a 256-qubit device. Chris and Yuval also…
Nathan Shammah (Unitary Fund): Open source as quantum’s missing infrastructure
Nathan Shammah, CTO of the Unitary Fund, is interviewed by Yuval Boger. Nathan discusses the non-profit’s evolution from focusing on software to hardware in quantum technologies, their Mitiq project for error mitigation in quantum computing, and the fund’s success in establishing a new research institute and promoting open-source quantum technology. Nathan also muses on a…
Earl Campbell (Riverlane): Why Logical Qubit Counts Hinge on Error Rates
Earl Campbell, VP of Quantum Science at Riverlane, is interviewed by Yuval Boger. Earl and Yuval discuss the challenges and solutions in making quantum computing practical, including creating reliable qubits in large numbers and managing noise as systems scale. Earl emphasizes that the number of physical qubits needed for a logical qubit varies based on…
Misha Lukin, Dolev Bluvstein & Harry Zhou (Harvard/QuEra): 48 logical qubits from moving atoms
Professor Misha Lukin (Harvard), Dolev Bluvstein (Harvard), and Harry Zhou (Harvard and QuEra) are interviewed by Yuval Boger. They discuss their recent Harvard-led work in quantum error correction, published in Nature, highlighting the evolution from physical to logical qubits and the realization of up to 48 logical qubits. The authors emphasize the significance of error…
Ish Dhand (QC Design): Selling fault-tolerant blueprints instead of building qubits
Ish Dhand, CEO and co-founder of QC Design, is interviewed by Yuval Boger. They discuss the company’s focus on advancing fault tolerance in quantum computing, their architectures and software tools to help manufacturers build scalable and reliable quantum computers. We talk about their “blueprints” for building fault-tolerant systems, the “boosts” to improve existing hardware, and…
Tommaso Demarie (Entropica Labs): Building the middleware layer for fault-tolerant quantum computing
Tommaso Demarie, CEO and co-founder of Entropica Labs, is interviewed by Yuval Boger. Tommaso and Yuval discuss Entropica Labs’ focus on quantum computing middleware, aiming to support fault-tolerant quantum error correction, their software development tools, potential timelines for quantum computing advancements, and much more.
Stephanie Simmons (Photonic): Why photonic interconnects, not more qubits, unlock fault tolerance
Stephanie Simmons, Founder and Chief Quantum Officer of Photonic, discusses with Yuval Boger her path from academic research on spin qubits to launching one of the largest quantum computing companies operating largely under the radar with over 100 employees. The conversation explores Photonic’s approach to delivering fault-tolerant quantum computers by leveraging highly connected quantum systems…
Oliver Dial (IBM): Why scale, quality, and speed matter more than qubit count
Oliver Dial, Quantum Chief Technology Officer at IBM, is interviewed by Yuval Boger about his role overseeing the integration of quantum hardware and software at IBM Quantum. During the discussion, Dial explains IBM’s strategic focus on three critical dimensions for advancing quantum computing: scale (increasing qubit counts beyond classical simulation thresholds), quality (reducing error rates…
Michael Biercuk (Q-Ctrl): Quantum control as the missing layer for stable hardware
Summary Michael Biercuk, CEO and founder of Q-Ctrl, a company that makes infrastructure software towards making quantum technology useful, is interviewed by Yuval Boger. Michael and Yuval talk about quantum control, a discipline that helps stabilize unstable systems, its application to quantum computers and quantum sensors, Q-Ctrl’s educational software, and much more. Get the full…
Andrew Dzurak (Diraq): Why Silicon Spin Qubits Can Ride Existing Chip Fabs
Summary Andrew Dzurak, founder and CEO of Diraq, a company developing silicon-based quantum computers built with existing chip fabrication technology, is interviewed by Yuval Boger. Andrew and Yuval talk about the merits of their technology, the reason many companies have taken alternative approaches, when silicon dot computers will be available, a hypothetical dinner with Paul…
Théau Peronnin (Alice and Bob): Cat Qubits That Fix Their Own Bit Flips
Summary Théau Peronnin, CEO and co-founder of Alice and Bob, a company making fault-tolerant quantum computers using cat qubits, is interviewed by Yuval Boger. Theau and Yuval talk about what cat qubits are, why they protect against bit-flip errors, the kind of software that will be required to take advantage of these new machines, and…
Alex Keesling & Nate Gemelke (QuEra): Why analog neutral atoms may reach fault tolerance first
Summary Alex Keesling, CEO, and Nate Gemekle, CTO of QuEra, a company building quantum computers based on neutral atoms with a unique analog quantum computation mode, are interviewed by Yuval Boger. Alex, Nate, and Yuval discuss why QuEra chose a different path toward universal, fault-tolerant quantum computers, the significance of recent qubit shuttling experiments, what…
Mark Jackson (Quantinuum): Why compilers matter as much as qubits
Summary Mark Jackson, senior quantum evangelist at Quantinuum, is interviewed by Yuval Boger. Mark and Yuval talk about optimizing compilers, quantum error correction news, whether customers prefer shrink-wrapped quantum software, and much more. Read the full transcript on The Quantum Computing Report