Q-CTRL

Quantum computers are beginning to outperform classical computation at commercially relevant tasks. As hardware matures, the critical bottleneck for organizations is the scarcity of talent capable of leveraging these systems. Black Opal is the industry-leading education platform designed to prepare your organization for real-world quantum computing applications. The award-winning curriculum requires zero prerequisites and guides your team from the fundamentals of quantum physics to mapping quantum solutions to real-world problems. It also simplifies workforce development at scale. The platform includes single-click deployment via secure invite links or your Learning Management System. Administrators can customize courses, manage cohorts, and monitor progress through detailed performance analytics. Upon completion, learners earn industry-recognized certifications and shareable microcredentials to validate their expertise. Prepare your business for the quantum economy and identify commercial opportunities already within reach. Get started with Black Opal's 500+ interactive activities and hands-on simulations today. #QuantumComputing #Education #STEM #WorkforceDevelopment https://buff.ly/8K3PDTH

Featured in Interesting Engineering, our latest white paper—Quantum computing for battlefield information dominance—highlights how our infrastructure software can augment state-of-the-art quantum hardware to solve complex, multi-domain defense challenges. We explore a variety of key case studies from convoy routing to missile defense optimization, presenting a positive outlook for when quantum computers can deliver quantum advantage for the warfighter. #QuantumComputing #Engineering #Innovation #DefenseTech #DeepTech

⏰ Final hours to secure one year of free access to Fire Opal Qiskit Functions on IBM Quantum. Q-CTRL’s Qiskit Functions are helping teams move beyond early-stage quantum experiments and start running real workloads without needing to manually construct quantum circuits or have a deep understanding of the inner workings of quantum hardware. Organizations are already seeing strong results using our Performance Management and Optimization Solver functions on IBM Quantum hardware: 🔹 Network Rail achieved optimal routing of 26 trains over an 18-minute window using real scheduling data across a full station topology. 🔹 Mitsubishi Chemical Group pushed Quantum Phase Estimation to 52 qubits and 5,000+ two-qubit gates, reaching record-scale execution for this class of problem. 🔹 SoftBank Group used it to accurately measure the spectral gap of a supersymmetric Hamiltonian, traditionally a major computational bottleneck. 🔹 Qubit Pharmaceuticals ran drug-discovery workloads at up to 123 qubits with classical-level accuracy. 🔹 E.ON achieved a clear, optimal solution to a real-world power electronics design problem (DC-DC boost converter filter). These examples highlight what’s possible when you can focus on solving the industry problem and let Fire Opal handle execution complexity. 📌 The offer closes today. Request access here to see if you qualify for complimentary access: https://buff.ly/TPu9skW

Moving advanced computing from theoretical promise to near-term capability requires more than just hardware -- it requires rigorous, use-case-driven problem framing. The team at Q-CTRL just released an excellent new white paper exploring potential pathways to quantum advantage in a highly-relevant context. It was a pleasure to engage with the authors to help frame these strategic challenges and define the problem-set for the broader landscape. If you are tracking how the ecosystem is projecting the intersection of unconventional computing and national strategy, the team has put together a fantastic resource. Highly recommend downloading their full breakdown below. #Innovation #QuantumComputing https://lnkd.in/gD_YDEyX

What caught my attention this week: quantum advantage for real-world problems is starting to come with actual dates, some as early as 2027. For years, “quantum could help here” has mostly been a hand-wave. What’s changing is the rigor behind the claim: start from where classical methods actually hit their limits, estimate the quantum resources needed to do better, then tie it to a hardware roadmap to say when. The part I find most credible isn’t the hardware, it’s that the comparison runs against where state-of-the-art classical solvers actually break down at scale, not a convenient worst case. That’s what makes the timeline falsifiable rather than aspirational. The flip side: those dates are only as good as the roadmap they’re pegged to. And honestly, I think that’s the right way to be wrong. Seeing it applied to concrete real defense problems — convoy routing, airlift, production resilience, missile defense — made the timelines feel far less abstract, and at surprisingly modest qubit counts. Sharing because it genuinely shifted how I think about where quantum lands first. Worth a read. White Paper by Q-CTRL — Niall Moroney, Christopher Bentley, Andre Carvalho, Kisa Barkemeyer, Julian Teske, Richard Taylor, Dustin W., and Michael Biercuk — with Travis Scholten (IBM) on the problem-framing.

In a promising new outlook for defense, we have published a new white paper highlighting the near-term capability of quantum computers for battlefield information dominance. Through a series of detailed case studies, we project quantum advantage for military operations to arrive as soon as 2027. Modern defense systems must seize every capability across logistics and operational planning to ensure battlefield dominance. Quantum computing represents a strategic edge for defense leaders who prioritize integrating the technology into their C4ISR roadmaps, and our AI-powered infrastructure software is the key to unlocking the potential of quantum hardware to meet these demands. These case studies, executed on IBM Quantum hardware, provide first-movers with an asymmetric battlefield advantage, outlining quantum-enhanced solutions for convoy routing, strategic airlift, defense production resilience, and missile defense and counter-UAS. We are committed to delivering the strategic advantage required for high-stakes missions, bringing the most advanced capabilities in quantum computing to the AUKUS partnership. #QuantumComputing #DefenseTechnology #AUKUS #NationalSecurity https://buff.ly/saVn3ad

IBM Quantum’s limited-time promotion offering one year of complimentary Qiskit Function access for eligible users is wrapping up on May 29. If you’re still deciding which function to choose, consider the Fire Opal Performance Management function. Fire Opal Performance Management is our most widely adopted Qiskit Function; it can be used with any algorithm and is simple for anyone to achieve meaningful results, without needing to be a quantum hardware expert. Behind the scenes, multiple error-suppression techniques work together to prevent runtime errors, allowing researchers and developers to focus on solving problems instead of managing noise. With Fire Opal, you get: ✔ Higher accuracy → Deliver up to 1,000x more accurate results, enabling reliable, high-fidelity research on real hardware. ✔ Deeper circuits → Run algorithms up to 10x deeper, unlocking more ambitious problems previously constrained by noise. ✔ Faster outcomes → Reduce compute time by up to 1,000x by dramatically lowering the number of shots required. ✔ Better budget efficiency and research ROI → Lower compute times lead to direct cost savings, allowing you to stretch your research budget to solve the problems that matter most. For enterprise teams, this is the fastest way to turn quantum potential into real-world outcomes. 🚀 You’re using world-class hardware; maximize its performance with Fire Opal Qiskit Functions. Request access today: https://buff.ly/tIODkpg

If you're a #quantumcomputing business and you're primarily marketing low-TRL research in #QEC you're selling the feature, not the value to the customer. Quantum businesses need to learn how to sell the pen.... From now on, we are making a strategic decision to prioritize speaking about deploying and getting value from large-scale quantum computing (the desired end state) vs building fault-tolerant quantum computers (a technical means to that end). Thanks Resonance & The Quantum Insider for publishing this piece in which Alex Shih and I challenge the community to refocus discussions around customers. "Many end-users and data center providers are excited to be early adopters [of quantum computers], seeing a chance to accelerate the problems key to unlocking the future of AI, chemistry, and energy. They simply want machines they can deploy easily, interoperate with other existing systems and compute clusters, and use to solve the business-critical problems they or their customers have. That’s not how the industry typically frames discussions of quantum computing: turning inwards, we tend to prioritize highlighting the R&D efforts in quantum error correction underway to address the central challenge of error in quantum hardware. Hardware errors act like a handbrake on the development of quantum computing, so out of our scientific interest or perhaps out of defensiveness, our community has focused its engagement on describing progress on technological features. What’s the wrong way to sell a pen? To talk about its features and its capabilities. What’s the right way? To understand and explain how the pen solves your client’s problems. In our view, it’s time to embrace a customer-value-centric approach to selling the quantum pen. And based on the successes we’ve seen advancing the state-of-the-art, we know we can." https://lnkd.in/egi2gE4f

💻 Sur un ordinateur quantique IBM, l'algorithme de Q-CTRL a permis de réaliser une simulation de physique des matériaux 3.000 fois plus rapide qu'avec l'informatique classique ➡️ https://lnkd.in/evVz3kht 📈 La percée annoncée par Q-CTRL a consisté à améliorer la performance d'un ordinateur quantique, sachant que ces derniers ont tendance à commettre des erreurs. Il a ainsi pu simuler le comportement de matériaux utilisés pour le transport d'électricité ou le stockage sur batterie en un temps record : 2 minutes 46 secondes au lieu de plus de 100 heures sur un superordinateur classique. ✍️ Un article de Solveig Godeluck

Quantum computing represents a new computational paradigm. In a recent feature with TechTarget, Yuval Baum, our VP of Quantum Computing Research, explains how CTOs, CIOs, and sustainability leaders balance performance, cost, and environmental objectives. As organizations evaluate this technology, sustainability has emerged as a critical consideration, and enterprises are investigating different architectural models. A major area of interest is the specialized infrastructure required for hardware scaling and integration into existing data center environments, such as the localized energy demands of cryogenic cooling. At the same time, enterprise is focusing heavily on potential efficiency gains from quantum optimization. Read the full article to see how quantum infrastructure software helps organizations navigate these emerging sustainability frameworks in hybrid computing environments. #QuantumComputing #Sustainability #Energy #AI