Bridging the U.S. Quantum Technology Implementation Gap

This image is from an Amazon Braket slide deck that just did the rounds of all the Deep Tech conferences I've been at recently (this one from Eric Kessler). It's more profound than it might seem. As technical leaders, we're constantly evaluating how emerging technologies will reshape our computational strategies. Quantum computing is prominent in these discussions, but clarity on its practical integration is... emerging. It's becoming clear however that the path forward isn't about quantum versus classical, but how quantum and classical work together. This will be a core theme for the year ahead. As someone now on the implementation partner side of this work, and getting the chance to work on specific implementations of quantum-classical hybrid workloads, I think of it this way: Quantum Processing Units (QPUs) are specialised engines capable of tackling calculations that are currently intractable for even the largest supercomputers. That's the "quantum 101" explanation you've heard over and over. However, missing from that usual story, is that they require significant classical infrastructure for: - Control and calibration - Data preparation and readout - Error mitigation and correction frameworks - Executing the parts of algorithms not suited for quantum speedup Therefore, the near-to-medium term future involves integrating QPUs as accelerators within a broader classical computing environment. Much like GPUs accelerate specific AI/graphics tasks alongside CPUs, QPUs are a promising resource to accelerate specific quantum-suited operations within larger applications. What does this mean for technical decision-makers? Focus on Integration: Strategic planning should center on identifying how and where quantum capabilities can be integrated into existing or future HPC workflows, not on replacing them entirely. Identify Target Problems: The key is pinpointing high-value business or research problems where the unique capabilities of quantum computation could provide a substantial advantage. Prepare for Hybrid Architectures: Consider architectures and software platforms designed explicitly to manage these complex hybrid workflows efficiently. PS: Some companies like Quantum Brilliance are focused on this space from the hardware side from the outset, working with Pawsey Supercomputing Research Centre and Oak Ridge National Laboratory. On the software side there's the likes of Q-CTRL, Classiq Technologies, Haiqu and Strangeworks all tackling the challenge of managing actual workloads (with different levels of abstraction). Speaking to these teams will give you a good feel for topic and approaches. Get to it. #QuantumComputing #HybridComputing #HPC

Closing the gap between quantum theory and sensing reality Quantum sensing is often framed as a race for better hardware: longer coherence times, cleaner materials, improved qubit designs. All of this matters. But it is not the full story. In our latest work, published in Nature Magazine, the team at Terra Quantum AG demonstrates that algorithmic innovation alone can unlock major gains in quantum magnetometry. By redesigning phase-estimation protocols for superconducting qubits, we show how to expand the dynamical range by orders of magnitude while improving precision, without relying on entanglement or new hardware. The core insight is simple: Quantum advantage does not depend on coherence alone, but on how efficiently phase information is transformed into knowledge. Smarter algorithms extract more information from the same physical system, even under realistic noise conditions. This work brings quantum sensing closer to practical deployment. It shows that progress toward Heisenberg-limit performance can be achieved today, through software–hardware co-design, rather than waiting for ideal devices tomorrow. Quantum technologies will not scale through hardware alone. Algorithms are where quantum physics becomes real-world impact. Read the full paper here 👉 https://lnkd.in/dFpxKc-T and below 👇 #QuantumIsNow #QuantumSensing #QuantumAlgorithms #DeepTech #QuantumMetrology #SuperconductingQubits

Stop thinking of #Quantum #Computing as a distant, isolated machine. That's the mindset preventing enterprise adoption. The biggest obstacle to achieving Quantum Utility isn't the hardware itself; it's the integration gap. Quantum Processors (#QPUs) are highly specialized accelerators, not standalone systems. They are virtually useless to a business if they cannot speak fluently with your existing classical computing environment, Cloud infrastructure, and data pipelines. This is the key distinction: The path to production-ready Quantum is #hybrid orchestration. This approach makes it realistically achievable for the enterprise by treating Quantum as an extension of your current infrastructure, not a costly replacement. Here is how that integration is built on practical foundations: 👉 Cloud-Enabled Access (QaaS): The Cloud abstracts the immense complexity and cost of housing a QPU, delivering it as a simple, pay-as-you-go Quantum-as-a-Service (#QaaS) resource. This immediately shifts QC from a lab expense to an accessible compute utility. This aligns with a Cloud-First, AI-Enhanced, Quantum-Aware strategy. 👉 The Hybrid Algorithm Loop: The most relevant near-term applications (optimization, materials science) are intrinsically hybrid. This means the classical computer (#HPC) handles the data preparation, parameter optimization, and post-processing, while the QPU performs the single, impossible quantum calculation. They work in a continuous, high-speed loop. Without this tight integration, the theoretical quantum advantage is lost. 👉 Governance & Management: Classical High-Performance Computing (HPC) environments are critical for managing the QPU's extreme fragility. They handle real-time decoding for error correction and autonomous system calibration, ensuring the quantum resource is stable enough for actual business workloads. Think of it this way: The QPU is an ultra-high-performance Formula1 engine, and the classical computing environment is the pit crew, telemetry analysts, and fuel. The engine (QPU) cannot win the race alone. It needs the high-speed pit stop (HPC integration) to process data in milliseconds—adjusting pressure, flow, and direction in real-time. Without this integration, the engine is just an impressive, but unleveraged, piece of engineering. Quantum Computing isn't a replacement for classical IT; it's becoming its most powerful accelerator. Embracing this hybrid, Cloud-centric view is the most efficient way for executives to move past the "hype" and translate these complex technical implications into tangible business value. What is the first real-world business problem in your industry that you believe a hybrid quantum/AI model could solve to generate measurable ROI? Share your insight below. #QuantumComputing #AI #HybridCloud #DigitalTransformation #B2BStrategy

DARPA’s QuANET researchers have demonstrated the first functioning quantum-augmented network. Less than a year ago DARPA launched a new program called QuANET (Quantum-Augmented Network) to answer: Can we combine the best of classical and quantum communications to create a vastly more secure, resilient network? QuANET’s mission is to integrate quantum links into today’s internet infrastructure. The goal is to marry the unique “covertness” (stealth) of quantum communications with the ubiquity and scale of classical networks . And QuANET researchers just demonstrated a functioning quantum-augmented network. They encoded and sent images as quantum data on a beam of “squeezed” light. The initial attempt took five minutes, but after real-time optimization the team slashed it to just 0.7 milliseconds (~6.8 Mbps) – fast enough to stream HD video. This rapid improvement, achieved only ~10 months into the project, shows how quickly quantum networking is moving from lab theory toward practical reality. From a cybersecurity standpoint, QuANET could be impactful. Even the most advanced classical networks today remain vulnerable to relentless cyberattacks, whereas quantum communication can inherently bolster resilience – any eavesdropping or tampering attempt would disturb the quantum data and be detected. By embedding quantum encryption and transmissions into network architectures, QuANET aims to make critical infrastructure much harder to compromise. I find QuANET’s emergence to be a significant milestone. For years, quantum networking (even quantum-augmented networking) have been a niche research topic – often confined to laboratory demos or isolated testbeds. Now we’re seeing a major R&D agency actively bridging quantum and classical networks, which is a big leap toward mainstream adoption. It’s not every day you hear about an ASCII-art cat being beamed over a quantum link. More importantly, it shows that quantum-secure communication is becoming a reality. #Quantum #QuantumNetworking #PQC https://lnkd.in/gEhszfaC

DARPA Launches Program to Make Quantum Sensors Battle-Ready Overcoming Real-World Limitations of Quantum Sensors The Defense Advanced Research Projects Agency (DARPA) is launching the Robust Quantum Sensors (RoQS) program to develop quantum sensors that can function reliably outside the lab. Quantum sensors provide exceptional precision in detecting magnetic fields, gravity, and motion, making them invaluable for military and defense applications. However, they currently face significant limitations in real-world environments, particularly on moving platforms where environmental disruptions degrade performance. Why Quantum Sensors Matter for Defense Quantum sensors offer a major advantage over traditional systems by: • Providing highly precise navigation in GPS-denied environments. • Enhancing submarine and underground detection for military operations. • Improving early-warning systems by detecting gravitational shifts from distant movements. However, these sensors are extremely sensitive and easily affected by: • Vibrations, such as those from aircraft, ships, or vehicles. • Electromagnetic interference, which can throw off readings. • Environmental instability, making them difficult to integrate into field operations. RoQS Program: Bridging the Lab-to-Field Gap To ensure quantum sensors can be practically deployed, RoQS will: • Develop ruggedized quantum sensors that remain effective despite real-world disruptions. • Eliminate the need for bulky shielding and isolation chambers, which make existing solutions impractical for widespread use. • Encourage early collaboration between sensor developers and defense platform designers, ensuring seamless integration into military systems. Implications for Military and Civilian Applications DARPA’s RoQS program could significantly accelerate the deployment of quantum sensing technology, unlocking new capabilities for: • Advanced military navigation and reconnaissance, particularly in GPS-jammed environments. • Next-generation intelligence and surveillance, offering unmatched precision in tracking enemy movements. • Earth science and underground exploration, improving geophysical mapping and resource detection. The Future of Quantum Sensing in Defense By making quantum sensors more resilient and adaptable, DARPA’s RoQS program marks a turning point in the field. If successful, quantum technology will no longer be confined to the lab—instead, it will become a mission-critical tool for defense and national security.

In our latest War on the Rocks article Joshua Levine and I map the critical vulnerabilities threatening America's #quantum future—and they're more urgent than you might think. While Part 1 made the case for why we need American quantum #manufacturing for strategic advantage, Part 2 reveals the hidden dependencies that could derail that leadership: 🔹 Dilution refrigerators: A supply disruption would halt U.S. quantum development within months. Companies like Bluefors have scaled up manufacturing considerably in the last year and multisite operations offer a pathway to resilience. 🔹 Helium-3: This ultra-rare isotope is essential for cooling quantum systems. We need a clear plan to source it at scale. 🔹 Rare earth elements and critical minerals: Recent export controls from the PRC now impact photonic components, relevant across many quantum platforms. Driving domestic acquisition and refinement of rare earth elements has been a focus of the administration. 🔹 Lithium niobate (and other #photonic #materials): Production mostly controlled by China, with no American supplier with capacity for large-scale production. It’s not just about making the material but also the know-how of processing these materials. The ability to etch and process lithium niobate (and diamond), while maintaining performance, is key to incorporating them in quantum devices, as the teams at Lightsynq (now IonQ) and HyperLight have shown. 🔹 #Semiconductor fabrication: Multiple quantum platforms need specialized fabs that don't yet exist domestically. Companies like Qolab working with Applied Materials, are pushing for a 300mm wafer-scale facility that aggregates demand across quantum modalities. These aren't hypothetical risks. They determine whether we scale from tens of quantum systems per year to thousands—and whether deployment timelines compress from years to months. The gap between lab demonstrations and strategic advantage isn't just technical—it's industrial. It’s manufacturing. And the window for action is measured in quarters, not years. 📖 Read Part 2: https://lnkd.in/dvDyHKcT 📖 Part 1 (for context): https://lnkd.in/dhKCDQeB What #supply #chain vulnerabilities concern you most? Looking forward to the discussion! Foundation for American Innovation

Quantum key distribution (QKD) promises fundamentally secure communication based on the laws of physics, but translating this theoretical promise into practical, robust systems presents significant challenges. Nitin Jha, Abhishek Parakh, both from Kennesaw State University, and Mahadevan Subramaniam from the University of Nebraska at Omaha, comprehensively address this critical gap by meticulously examining the latest advancements in QKD protocols and their vulnerabilities. Their work actively categorises contemporary schemes, from established uncertainty principle-based methods to emerging technologies like Twin-field and Device-Independent QKD, and highlights crucial experimental breakthroughs in error correction. By bridging the gap between theoretical security proofs and real-world implementations, this research provides a vital understanding of the security landscape for future quantum-augmented networks, offering a comprehensive assessment of both potential attacks and innovative mitigation strategies. https://lnkd.in/eRbmaYYH

Headline: The "Science Project" Era is Over. The US Congress Calls for a "Quantum First" 2030 Goal. The just-released 2025 Annual Report to Congress doesn’t mince words: #Quantum is no longer just a research silo — it is a mission-critical national asset. At Global Quantum Intelligence, LLC, we’ve long analyzed the divergence between the U.S. "distributed" innovation model and China’s "centralized" industrial strategy. This report confirms that the gap is closing, and the stakes are shifting from theoretical supremacy to industrial utility. Key Takeaways from a GQI Perspective: 🔬 The "Quantum First" Mandate: The Commission explicitly recommends a national goal to achieve quantum advantage by 2030 in three specific domains: Cryptography, Drug Discovery, and Materials Science. This aligns perfectly with GQI’s sector analysis — these are the first movers for economic value. 🏗️ Infrastructure over Qubits: Crucially, the report highlights a massive gap in the enabling stack. It calls for modernizing cryogenic labs, fabrication lines, and measurement facilities. As our data shows, you can't build a quantum economy on qubits alone; you need the industrial supply chain to scale them. 🤝 The Convergence Multiplier: The report identifies the intersection of Quantum + AI as the ultimate asymmetric advantage. This isn't just about faster computing; it's about redefining the foundations of intelligence and secure communication. 📉 The Sovereign Risk: China is pouring "industrial-scale funding" into these dual-use technologies, often obscuring progress in cryptographically relevant sectors. The U.S. response must be equally robust, moving from "funding science" to "buying outcomes." For more about this report, visit the podcast we have posted on the Quantum Computing Report with our partners at HKA Marketing Communications featuring Leland Miller and Mike Kuiken, members of the US-China Economic and Security Review Commission, discussing the report. You can find the podcast at https://lnkd.in/ekNGJABt The window for "wait and see" has closed. 📖 Read the full report to congress: https://lnkd.in/egpr_JdT #QuantumIsComing

In this week's column, I report from Chicago on the city's efforts to build the Silicon Valley of quantum computing. For decades, the labs of Illinois and surrounding states have nurtured breakthroughs in nanotechnology, the life sciences and the internet itself. Time and again, the researchers behind those developments have gone elsewhere to commercialize their ideas. But business and political leaders in the region are determined to break that pattern by putting a bear hug around the next likely technological leap: quantum computing that leaves contemporary computers in the dust. The city will be home to the Illinois Quantum and Microelectronics Park, to be located on 128 acres of the old South Works site where U.S. Steel once employed 20,000 people. Related Midwest is lead developer for the park and surrounding property, a longstanding passion project for Illinois Gov. JB Pritzker. The anchor tenant is PsiQuantum, a Palo Alto, Calif.-based startup that plans to build a fault-tolerant quantum computer on the order of 1 million quantum bits, or qubits, which it said would give it the most power of any quantum computer at launch alongside the company’s project in Brisbane, Australia. The park is also slated to host a center where companies will develop applications to run on hardware such as the PsiQuantum system. The Defense Advanced Research Projects Agency (DARPA) will operate a proving ground at the park, evaluating the efficacy of quantum projects. “We have a right to win in quantum because of that research base, but on top of that we see the gaps that normally prevent this region from becoming an innovation ecosystem, and we’re intentionally trying to fill them,” said Kate Waimey Timmerman, chief executive of the Chicago Quantum Exchange. A Boston Consulting Group (BCG) forecast projects that total global quantum economic value creation will reach nearly $1 trillion by 2035, up from about $3 billion today. Illinois, Wisconsin and Indiana’s share of that windfall could reach nearly $80 billion by 2035, up from roughly $60 million. PsiQuantum Chief Business Officer Stratton Sclavos said quantum could have a huge impact on the creation of new drugs. Today, that means using classical computers to synthesize and test up to 200,000 potentially promising compounds, a process that might take 10 years and have a failure rate of 90%. A quantum-based effort might instead focus on high-precision simulation of 200 compounds that the system has targeted. PsiQuantum says its use of existing photonics will reduce costs and improve its scale, time to market and usefulness.