Quantum Revolution Now

Send us a textIn 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.

Send us a textIn 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. 

Send us a textIn 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. 

Send us a textIn 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. 

Send us a textIn 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. 

Send us a textStep 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. 

Send us a textUnlock the future of quantum development with this deep dive into the transformative December 2025 Qiskit update, a release that fundamentally changes how you write and execute quantum code. We demystify the shift from static instructions to Dynamic Circuits, allowing for real-time classical logic and control flow directly within your programs, while introducing the powerful new V2 Primitives—Sampler and Estimator—that streamline error mitigation and execution speed. You will also discover how the new AI Transpiler Service leverages reinforcement learning to automatically optimize your circuit layouts, freeing you from the weeds of hardware management. If you are ready to trade endless debugging for high-fidelity results and seamless serverless workflows, this episode is your essential guide to the next generation of quantum software development. 

In this episode of the Qubit Value Podcast, we dive into the "Early Utility Scale" era of quantum computing as we break down the critical release of Cirq 1.6.1. We explore how this new stable baseline addresses noise modeling issues and introduces "Willow Pink," a digital twin configuration designed to validate routing and error strategies on 100+ qubit devices without booking expensive hardware time. The discussion also covers essential developer updates, including the mandatory migration to Python 3.11 and practical tutorials on implementing Zero Noise Extrapolation (ZNE) using circuit folding techniques to mitigate errors in this new hardware-first landscape. 

 In this episode, we declare the end of the experimental NISQ era and the arrival of "Utility Scale" quantum computing, where 100+ qubit processors are finally delivering tangible value. We dive deep into the necessity of "hardware-aware" programming using frameworks like Cirq, explaining why developers can no longer treat the chip as a black box but must instead manage gate timing, "moments," and error mitigation strategies like Zero Noise Extrapolation. We also explore the critical role of GPU-accelerated simulations in bridging the gap to fault tolerance and discuss the acute talent shortage in the market, making the case that mastering these noisy, intermediate tools today is the only way to be ready for the logical qubit revolution of 2026. 

In this episode, we explore the pivotal shift in quantum computing as the industry moves away from the raw qubit arms race toward a future defined by error-corrected, "logical" qubits. We break down the diverse hardware landscape of late 2025—comparing the raw speed of superconducting circuits, the unparalleled stability of trapped ions, and the emerging potential of neutral atoms and photonic systems. Beyond the technical specs, we discuss groundbreaking concepts like "cat qubits" and the new focus on "quantum advantage" in material science, explaining why hybrid systems are becoming the new standard. Whether you're an investor or a tech enthusiast, this episode reveals why reliability, not just scale, is the true metric of the quantum future.

In this episode, we confront the chilling reality of "Harvest Now, Decrypt Later" strategies, where adversaries collect encrypted data today to decrypt it once quantum capabilities mature. We dive deep into the newly released NIST post-quantum cryptography standards (FIPS 203, 204, and 205) and analyze the aggressive migration timelines mandated by the EU and UK, with critical infrastructure targets set for as early as 2030. Beyond the hype of raw qubit counts, our discussion shifts to the necessity of "crypto-agility" and hybrid implementations, explaining why organizational survival now depends on conducting a comprehensive cryptographic inventory rather than waiting for the technology to settle.NIST Post-Quantum Cryptography StandardsFIPS 203 (ML-KEM): Module-Lattice-Based Key-Encapsulation Mechanism StandardView PDFFIPS 204 (ML-DSA): Module-Lattice-Based Digital Signature StandardView PDFFIPS 205 (SLH-DSA): Stateless Hash-Based Digital Signature StandardView PDFGovernment & Regulatory GuidanceEuropean Commission Recommendation: "EU Roadmap for the Transition to Post-Quantum Cryptography" (Covers 2026/2030 milestones)View Roadmap DetailsUK National Cyber Security Centre (NCSC): "Next Steps in Preparing for Post-Quantum Cryptography" (Covers 2028 discovery/2035 migration targets)View GuidanceWhite House (USA): National Security Memorandum 10 (NSM-10) on Promoting United States Leadership in Quantum Computing While Mitigating RisksView MemorandumBlockchain & Technical ProjectsSolana: "Project 11" (Validator security and testnet upgrades for post-quantum signatures)View AnnouncementAlgorand: Technical Brief on Quantum-Resistant Transactions (Falcon Signatures)View Technical Brief

Welcome back to the Qubit Value Podcast! In our second episode of Season 3, we dive into the staggering advances in quantum hardware, where the industry has moved far beyond simple experimentation into the era of fault-tolerant systems.Join us as we survey the leading contenders in the quantum race, exploring how giants like IBM and Google are competing with specialized innovators like QuEra and Xanadu. We break down the massive scaling achievements of IBM's 4,000-qubit "Kookaburra" system and Atom Computing's 1,000-atom arrays, contrasting them with the high-fidelity approach of Google's "Willow" chip and Quantinuum's breakthrough in creating reliable logical qubits. From the photonic strategies of PsiQuantum to Microsoft's engineering of topological qubits, we examine why the industry's focus has decisively shifted from raw qubit counts to real-time error correction and engineering reliability.Links:SuperconductingIBM Quantum – ibm.com/quantum Google Quantum AI – quantumai.google Rigetti Computing – rigetti.com Origin Quantum – originquantum.com Oxford Quantum Circuits (OQC) – oxfordquantumcircuits.com IQM Quantum Computers – meetiqm.com Trapped-IonIonQ – ionq.com Quantinuum – quantinuum.com Alpine Quantum Technologies (AQT) – aqt.eu Universal Quantum – universalquantum.com PhotonicPsiQuantum – psiquantum.com Xanadu – xanadu.ai ORCA Computing – orcacomputing.com Quandela – quandela.com Neutral AtomPasqal – pasqal.com Atom Computing – atom-computing.com QuEra Computing – quera.com Infleqtion (ColdQuanta) – infleqtion.com Other / SpecializedMicrosoft Azure Quantum – azure.microsoft.com/en-us/solutions/quantum-computing D-Wave Systems – dwavequantum.com SEEQC – seeqc.com Quantum Brilliance – quantumbrilliance.com 

Welcome back to the Qubit Value Podcast! In our Season 3 premiere, we move beyond the hardware hype to explore the software ecosystem that is actually driving the quantum revolution. It is no longer just about experimental physics; a massive, mature landscape of languages and frameworks now exists to help developers control quantum processors.Join us as we navigate the hierarchy of quantum abstraction, moving from low-level instruction sets like OpenQASM to the high-level Python frameworks defining the industry, such as IBM's Qiskit and Google's Cirq. We also examine how platforms like Microsoft Azure Quantum and Amazon Braket are unifying hardware access, while specialized tools like PennyLane, TKET, and NVIDIA's CUDA Quantum are revolutionizing machine learning and hybrid computing. whether you are a developer or a business leader, this episode offers the essential roadmap to understanding the software stack that bridges the gap between classical code and quantum reality.

The World Quantum Day 2022 was celebrated on 14th Apr 2022 and we at Qubit Value celebrated by hosting a quantum developments workshop utilizing Qiskit and Cirq (with TensorFlow Quantum).

Many nations are funding efforts to build the first quantum computer and most of the large cloud service providers are offering access to either their own or their partners quantum computers.The only way to understand the potential of quantum computers, is to start experimenting and utilizing them. Cloud providers such as Amazon, Google, IBM and Microsoft already provide access to multiple options to start experimenting.

Total capital investments to quantum computing startups have almost quadrupled between 2019 and 2020 and the number of quantum computing startup is growing.

This is the second episode of our new podcast focusing on Quantum Computing - what is happening in the market and new technological advancements.In this episode we glance briefly what is the status of quantum computing market at the moment and what lies ahead.Qubit Value is a startup focusing on helping clients to get in and benefit from  quantum computing. We offer consulting, software development and training services both on-site and remote.We are located in Helsinki, Finland.

This is the first episode of our new podcast focusing on Quantum Computing - what is happening in the market and new technological advancements.Qubit Value is a startup focusing on helping clients to get in and benefit from  quantum computing. We offer consulting, software development and training services both on-site and remote.We are located in Helsinki, Finland.