Quantum Revolution Now

Qubit Value Oy
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All about quantum computing, quantum programming and the ongoing quantum revolution

  1. 2 DAYS AGO

    Qubits or Qudits - Quantum Computing Foundations in January 2026

    Send us a text In this episode from January 3, 2026, the Qubit Value podcast explores the paradigm shift from binary qubits to "qudits," multidimensional quantum units that harness the naturally occurring higher energy levels in hardware like trapped ions and superconducting transmons. The hosts explain that while qudits theoretically offer massive efficiency gains—such as compressing complex logic gates into fewer steps and drastically reducing circuit depth—the engineering reality is stifled by a crushing "calibration overhead," where controlling a 10-level system requires managing nearly 100 physical parameters. The discussion highlights the promise of Bosonic "cat codes," which trade physical qubit counts for phase-space redundancy in microwave cavities to achieve error correction, a method validated by recent break-even experiments at Yale and Google. However, with qutrit gate fidelities hovering around 97% compared to the 99.9% standard for qubits, the episode concludes that qudits will likely serve as specialized "turbochargers" within hybrid architectures rather than a standalone replacement, pushing widespread commercial adoption into the mid-2030s.

    17 min

  2. 3 DAYS AGO

    Quantum Computing and Error Correction

    Send us a text In this rigorous engineering deep-dive from January 2, 2026, the Qubit Value podcast confronts the single greatest barrier to useful quantum computing: noise. The episode dismantles the hope that better hardware alone will suffice, explaining why "Quantum Error Correction" is an existential requirement where errors currently compound exponentially. The hosts dissect the industry-standard "Surface Code" approach used by Google and IBM, revealing the brutal reality that up to 90% of a future chip’s resources must be dedicated to "Magic State Distillation" factories just to clean up data, leaving little room for actual computation. The discussion pivots to cutting-edge alternatives like Low-Density Parity-Check (LDPC) codes and Bosonic "Cat" codes that use microwave cavities to create redundancy without massive qubit counts. Ultimately, the hosts push the timeline for commercial fault tolerance to the mid-2030s, advising listeners to ignore raw qubit counts and instead watch for the successful demonstration of a "fault-tolerant logical CNOT gate" as the true indicator of progress.

    16 min

  3. 4 DAYS AGO

    Quantum Computing in 2026: Drug Discovery and Healthcare

    Send us a text In this premiere of Season 4, the Qubit Value podcast focuses on the life sciences sector, providing a candid engineering assessment of quantum computing's potential in drug discovery as of early 2026. The episode cuts through the excitement of "quantum-inspired" results to reveal significant technical hurdles: even with recent advances, the "Barren Plateau" problem remains a critical bottleneck, causing quantum machine learning models to stop learning as they scale up to complex molecules. The hosts highlight that while new algorithms like "qubit-ADAPT-VQE" show promise for small spin models, simulating a commercially relevant drug molecule still requires millions of physical qubits to maintain coherence—far beyond current hardware capabilities. The discussion concludes by urging pharmaceutical executives to view quantum not as an immediate solution for drug design, but as a long-term research investment.

    18 min

  4. 5 DAYS AGO

    Quantum Computing and Logistics in December 2025

    Send us a text In this unvarnished year-end assessment from December 30, 2025, the Qubit Value podcast tackles the logistics and supply chain sector, dismantling the hype that quantum computers are ready to optimize global distribution networks. The hosts expose the critical "input problem," where the time required to encode massive supply chain datasets into quantum states negates any computational speedup, and highlight that current hardware error rates of roughly 2% per step make running deep algorithms like QAOA impossible for real-world routing. The discussion clarifies that while "quantum-inspired" algorithms running on classical chips are delivering marginal gains, true quantum advantage is pushed to the late 2030s due to the crushing need for thousands of physical qubits to build just one error-free logical qubit.

    15 min

  5. 28/12/2025

    Deep Dive: Quantum Computing in the Financial Sector, Dec 2025

    Send us a text In this rigorous technical deep-dive from late December 2025, the Qubit Value podcast dismantles the "marketing fluff" surrounding quantum computing to expose the severe engineering constraints facing the financial industry. The hosts analyze why IBM's 1,000-qubit "Condor" chip is insufficient for real-world finance, noting that with current error rates of roughly 0.03%, the industry faces a punishing 1,000-to-1 ratio of physical to logical qubits. The discussion reveals that while pricing complex derivatives theoretically benefits from Quantum Amplitude Estimation, the reality requires a staggering 8,000 logical qubits and a gate depth of 54 million operations—far beyond the current limit of roughly 100 gates before signal collapse. Furthermore, the episode highlights often-overlooked bottlenecks like the "input problem" (where data loading costs erase computational speedups) and the "Barren Plateau" phenomenon that stalls quantum machine learning. The hosts conclude by shifting the "commercial advantage" timeline to the late 2030s, advising executives to ignore the hype and focus entirely on migrating to Post-Quantum Cryptography to protect against immediate "harvest now, decrypt later" security threats.

    16 min

  6. 26/12/2025

    Quantum Computing in the Financial Sector, Dec 2025

    Send us a text In this candid 2025 year-end review, the Qubit Value podcast strips away the marketing hype to reveal the stark engineering realities facing quantum computing in the financial sector. The episode explores why, despite the buzz, not a single financial institution has deployed a quantum computer in production, highlighting the massive disparity between the thousands of logical qubits required for useful algorithms and the current hardware limit of roughly 100 to 150 physical qubits. The hosts delve into critical technical bottlenecks, such as the "state preparation" challenge where data loading speeds negate computational advantages, and the "Barren Plateau" problem that hinders quantum machine learning. Ultimately, the conversation pivots from profit seeking to security, urging executives to prioritize post-quantum cryptography immediately to counter "harvest now, decrypt later" threats, while resetting expectations for financial quantum advantage to the year 2040.

    18 min

  7. 24/12/2025

    The Travelling Santa Problem - can quantum solve it?

    Send us a text In this special holiday episode of the Qubit Value Podcast, the discussion centers on the "Traveling Santa Dilemma," a festive framing of the Traveling Salesman Problem (TSP) within the realm of quantum computing. The hosts explain that while pure quantum hardware is still in its "toy-making phase" for such complex optimizations—requiring nearly 10,000 qubits to map just 100 cities due to the scaling nature of one-hot encoding—significant strides are being made via hybrid quantum-classical workflows. The episode explores various technical workarounds like warm starting QAOA, HOBO (Higher-Order Binary Optimization) for qubit compression, and amplitude encoding to maximize the utility of limited hardware. Although classical supercomputers still outperform quantum machines on raw TSP speed as of late 2025, the hosts remain optimistic about the future, pointing to error-correction milestones and the expected arrival of fault-tolerant systems like IBM’s Starling and Blue Jay processors between 2029 and 2033.

    16 min

  8. 23/12/2025

    Qiskit Deep Dive December 2025

    Send us a text Step into the high-performance era of quantum computing with this essential breakdown of Qiskit v2.2.3, where the core has been rewritten in Rust to double circuit construction speeds and boost transpilation efficiency. You will discover how the new native C++ API eliminates Python overhead for high-performance workflows and why the legacy execute() function has been permanently retired in favor of the modular SamplerV2 and EstimatorV2 primitives. We explain the shift to Primitive Unified Blocks (PUBs) for efficient data passing and how Resilience Levels now automate complex error mitigation like Zero Noise Extrapolation without manual coding. If you are ready to implement Dynamic Circuits with real-time classical logic and prepare for the next generation of error-corrected hardware, this episode provides the roadmap you need.

    18 min
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About

All about quantum computing, quantum programming and the ongoing quantum revolution

Information

  • Creator
    Qubit Value Oy
  • Years Active
    2021 - 2026
  • Episodes
    20
  • Rating
    Explicit
  • Copyright
    © 2026 Quantum Revolution Now
  • Show Website
    Quantum Revolution Now