"Vibe coding" quantum circuits with Qubitverse was introduced in March 2025 and now it has been updated so that in addition to circuits you can also use them within the the app to build apps using those circuits

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The quantum hardware race just added another publicly traded player. IQM, Finland's quantum computer manufacturer, made its New York debut through a SPAC merger, raising $234 million in the process. Shares dipped 3.4% on day one, though context matters — the SPAC had already surged 24% the day prior, suggesting the market had priced in plenty of enthusiasm ahead of the bell. First-day jitters aside, the bigger story is what this signals for the industry. European quantum companies are increasingly looking to US capital markets to fuel their growth, and investors now have another direct way to gain exposure to quantum hardware. The sector's public market footprint continues to expand, bringing both greater scrutiny and greater visibility. More companies going public means more transparency, more benchmarks, and ultimately a healthier ecosystem for everyone building in this space #QuantumComputing

Quantum computing just posted its biggest venture year ever, and the investor roster tells the real story. VC investment hit $3.9 billion across 125 deals in 2025, with Q3 alone pulling in $1.6 billion — more than any full year before 2021. But the shift isn't just about volume. The biggest checks are now coming from institutional heavyweights and strategic corporates, not specialist quantum funds. The venture growth stage jumped from roughly 1% of deal value in 2024 to over 30% in 2025, the largest single-year stage shift on record. The exit window is finally opening too. Four deals in early 2026 totaled $5.7 billion — roughly 15 times the combined exit value of the prior three years. One major player raised $1.68 billion in a traditional IPO after debuting above its offering price. Meanwhile, cumulative government commitments to quantum now exceed $60 billion globally, with one major economy ranking quantum as its top future industry — ahead of both AI and semiconductors. The picture isn't without nuance. Most companies remain pre-revenue on their boldest use cases. The median deal in 2025 was still $9 million against an average of $50.4 million, meaning a handful of platform bets are absorbing the lion's share of capital while the broader early-stage pipeline stays comparatively quiet. There's also a talent bottleneck that funding alone won't solve — quantum physicists aren't exactly abundant. And perhaps the most important framing: the future of quantum likely isn't a standalone system. It's quantum working in conjunction with AI, each amplifying the other. What we're watching is the transition from a field defined by theoretical promise to one defined by capital conviction. Whether this vintage produces generational returns is a story only the next decade can tell — but the fact that the world's most sophisticated investors are placing these bets now shows exactly where the probability curves are pointing #QuantumComputing

Quantum computing's next chapter isn't being written in isolated labs — it's being written at the intersection of HPC, AI, and quantum systems. A new collaboration is advancing hybrid classical-quantum computing by focusing on what often gets overlooked: the control layer. Scalable, deterministic control electronics are the critical interface connecting quantum processors to classical HPC infrastructure, and getting this right is essential before hybrid architectures can handle real-world workloads. By building integrated testbeds for algorithm co-design and system-level benchmarking, this effort turns quantum-enhanced HPC from a slide deck concept into an engineering reality. The bottleneck for practical quantum advantage has never been solely about qubit count. It's about how seamlessly quantum resources plug into the ecosystems that already power research and industry. Every advance in cross-platform control hardware brings that integration closer #QuantumComputing

Fault-tolerant quantum computing just got a concrete deadline: 2028. The U.S. Department of Energy has launched Quantum Genesis, an initiative to develop the world's first scientifically relevant fault-tolerant quantum computer. The ambitious scope targets the low hundreds of logical qubits to solve real problems in chemistry, materials science, plasma physics, and high-energy physics. Three pillars define the effort: a DOE Q Competition to accelerate system development, a National Quantum Supercomputing User Facility offering multi-modality access, and focused R&D to identify breakthrough scientific applications. The facility will integrate directly with existing exascale HPC and AI infrastructure. What makes this notable is the specificity. This isn't a roadmap or a whitepaper — it's a competition with a timeline, a user facility with a mandate, and application-driven benchmarks. Setting concrete milestones for fault tolerance forces the entire ecosystem to align around deliverables rather than projections. The initiative signals that quantum computing's value proposition is being measured in scientific utility, not just qubit counts. Defining keystone scientific applications as the standard for evaluating systems is exactly the kind of framing that moves the field from promise to proof #QuantumComputing

When one quantum stock sneezes, the whole sector catches momentum—and this week proved it again. Analysts raising their price target for a leading quantum company after its first investor day sent ripples across the sector, with major stocks climbing between 9% and 15% in a single session. What makes this particular rally noteworthy is the underlying thesis: the idea of a dual-platform company that can maintain leadership in one quantum computing approach while building a credible roadmap to another. That versatility matters in an industry where the winning hardware paradigm is still being written. The broader pattern is equally revealing. Quantum stocks have increasingly moved as a correlated group, rising together on AI infrastructure announcements, government funding signals through the CHIPS Act, and now individual analyst upgrades. This sector-wide sensitivity suggests the market is still pricing quantum computing as a category bet rather than picking individual winners. All four major public quantum companies are now in positive territory for 2026. The current trajectory feels grounded, driven by rigorous analyst frameworks, government investment commitments, and concrete technical roadmaps rather than early speculation. The quantum computing market is maturing in real time, and the investment community is developing sophisticated ways to evaluate these companies beyond long-term potential narratives #QuantumComputing

Commercially useful quantum computers are five to seven years away, according to a senior Amazon executive — a forecast that lands squarely in the middle of expert predictions. What makes this notable is not just the timeline, but the specificity. Chemistry and material science are expected to be the first domains where quantum delivers real value, precisely because classical computers cannot run high-fidelity simulations for these complex problems today. The broader landscape reinforces that this is not an isolated bet. The U.S. Department of Commerce recently committed over $2 billion in incentives to accelerate quantum development. Major banks are standing up dedicated quantum teams, and new research hubs are being established. The pattern is clear — quantum computing is shifting from theoretical promise to institutional priority. Organizations building quantum literacy and infrastructure today will be the ones ready when that five-to-seven-year window opens #QuantumComputing

When you're already sprinting, sometimes the fastest thing you can do is decline a parachute. Google Quantum AI turned down funding from a recent $2 billion federal quantum initiative, citing conditions that would have slowed its progress toward building a quantum computer. The decision highlights an interesting dynamic in the industry: government funding can accelerate development, but administrative requirements must be carefully balanced against development speed. Meanwhile, the broader ecosystem is moving fast. Several major quantum and classical computing companies signed letters of intent for $100 million chip funding deals each through the CHIPS and Science Act, and new quantum foundries are being planned on U.S. soil. The investment landscape for quantum is clearly maturing. The deeper story here is about what it takes to win the global quantum race. It is not just funding—it is speed, talent, and the freedom to pursue the most promising technical paths without friction. Basic research funding and workforce development are levers that matter as much as direct capital investment. The quantum industry is entering a phase where strategic choices about which resources to accept, and which to decline, may prove just as consequential as the technology itself #QuantumComputing

Quantum meets supercomputing, and Italy just leveled up. A 54-qubit superconducting quantum computer is now live at CINECA in Bologna, integrating with Leonardo—one of the world's fastest supercomputers. The goal is a production-ready hybrid environment where classical and quantum computing work together on real optimization, simulation, and machine learning workloads. This deployment moves quantum computing from laboratory curiosity to operational infrastructure. On-premises systems are taking their proper place inside world-class supercomputing centers, owned and operated by the institutions using them. The broader pattern is clear. With several of the world's top supercomputing centers adopting on-premises hardware, hybrid HPC-quantum architectures are quietly becoming a standard part of the high-performance computing landscape rather than a speculative add-on. For Europe, this is a meaningful step toward building robust domestic capability in quantum technology. When national research infrastructure includes hardware that researchers can integrate directly, the path from experimentation to applied science gets considerably shorter #QuantumComputing

Quantum computing is crossing the line from "promising" to "producing" — and the investment numbers tell the story. Corporate-backed rounds in the quantum space raised nearly $3bn last year, and 2026 is tracking at a similar pace with $1.3bn raised in just the first five months. One major funding round this week, a £260m Series C, was described as a "coming-of-age moment" for the industry. What makes this wave different from previous cycles of enthusiasm is the substance behind it. Major platform providers are now pointing to real customers running real workloads, not hypothetical use cases on a roadmap three horizons away. The narrative is shifting from long-term promise to near-term delivery. When capital flows accelerate alongside tangible commercial traction, the window between "too early" and "too late" starts narrowing faster than most expect #QuantumComputing

Scaling to a million qubits with today's technology would demand the energy output of an entire nuclear reactor — so Finland is taking a different approach. The newly funded QScale project unites Finnish research institutions to tackle one of quantum computing's most stubborn bottlenecks: scaling superconducting hardware without absurd energy costs. Their method combines ultra-fast optical telecommunications technology with superconducting circuits to generate near-perfect, noise-free electrical signals. The key insight is elegant. Rather than brute-forcing the problem with more hardware, QScale aims to replace conventional electronic control with optical control, potentially packaging scalable chip-based solutions into compact modules that could entirely reshape low-temperature technologies. With a three-year timeline starting September 2026 and roughly EUR 6.9 million in funding, the project also explores how optical tech can bridge quantum and classical supercomputers, carrying implications for more efficient AI computing. The path from 1,000 qubits to one million is less about building bigger and more about building smarter. Projects like this are where that future gets engineered #QuantumComputing

Developing fault-tolerant quantum computing is one of the most capital-intensive technological pursuits in history. Reaching this defining milestone demands billions in sustained R&D investment, deep partnerships, and the patience to weather years of development. Three realities define the current landscape. First, the scale of commitment is accelerating. Multi-year investment plans are increasingly backed by robust organizational revenue, while governments are co-investing at the billion-dollar level to treat quantum capability as critical strategic infrastructure. Second, hybrid architectures are the practical path forward. Rather than replacing classical computing wholesale, the most promising approach combines quantum processors with high-performance computing and AI accelerators. Navigating this transition requires targeted expertise to identify exactly where quantum algorithms add value and where classical systems remain optimal. Third, commercial quantum computing is firmly in its infrastructure-building phase. The massive capital requirements across the sector underscore the need for realistic timelines and clear-eyed assessments of technology readiness. The industry is progressing steadily toward transformative applications in drug discovery, materials science, and optimization, but the path to fault tolerance is measured in years, not quarters. Organizations that build quantum literacy, map relevant use cases, and design foundational quantum circuits today will be best positioned when that threshold is crossed #QuantumComputing

True randomness just got a serious upgrade. Researchers at ETH Zurich have demonstrated a two-qubit system that generates and certifies genuinely random numbers, a distinction that matters more than it might sound. Every conventional computer is fundamentally deterministic. The random numbers your phone or laptop produces aren't truly random, they are algorithmic approximations with subtle patterns lurking beneath the surface. For everyday use, that is fine. For encryption, it is a vulnerability. There is an entire Wikipedia page dedicated to security breaches caused by imperfect cryptographic randomness. The new approach exploits a core feature of quantum mechanics. Two entangled qubits, held near absolute zero at opposite ends of a 30-meter tube, produce measurement outcomes that are provably unpredictable. These outcomes are not just hard to guess, but fundamentally impossible to predict, even with a quantum computer. The physical separation ensures no classical variables can quietly bias the results. What makes this work stand out is the verification layer. A second qubit acts as a check on the first, and the team ran roughly 1.5 billion Bell tests to certify the randomness of their outputs. Previous experiments could generate quantum randomness, but certifying it at this scale and speed is new territory. The practical relevance is immediate, not hypothetical. Current encryption standards already depend on high-quality randomness, and any weakness there is exploitable today, not just in some future post-quantum era. Whether the adversary is a classical supercomputer or an eventual quantum machine, the math of secure communication will always demand randomness you can trust. This advance strengthens the entire foundation cryptography is built on. It is a compelling example of quantum technology delivering value well before large-scale quantum computers arrive. #QuantumComputing