Quantum Computing in Aerospace Engineering

Let's look at the new paper from IonQ and Airbus researchers exploring practical #quantumcomputing applications in aviation logistics. Their research tackles the aircraft loading optimization problem—selecting and placing cargo containers within operational constraints like maximum payload capacity, center of gravity requirements, and fuselage shear limits. This is computationally demanding, as it's NP-Hard (similar to the knapsack problem) with classical algorithms scaling exponentially as the problem size increases. What makes this paper worth your time: 1. The researchers developed a Multi-Angle Layered Variational Quantum Algorithm (MALVQA) that uses fewer two-qubit gates than standard QAOA approaches, making it viable on current quantum hardware.     2. They implemented a novel cost function handling inequality constraints without introducing slack variables—significantly reducing qubit requirements while maintaining algorithmic effectiveness.     3. Testing on IonQ's Aria and Forte trapped-ion quantum processors demonstrated optimal solutions for problems requiring 12-28 qubits, representing real aircraft loading scenarios with up to 7 containers across 4 cargo positions. The business implications are "directionally promising", as my old boss would say when I was Supply Chain Analyst back at Peabody. We were wrangling coal shipments, not boxes on planes, so this is another order of complexity and really quite fascinating. Efficient aircraft loading directly impacts airline profitability by maximizing revenue-generating payload while minimizing fuel consumption—a primary operating cost and environmental concern. Especially now as global trade gets more... unpredictable. While practical quantum advantage for full-scale commercial operations will require further hardware advances, the research demonstrates progress in exploring quantum computing to meaningful logistics challenges. I appreciated the focus on evolving near-term quantum algorithms in a constrained but critical problem space (versus the "ten septillion years" or "invented new matter" or "calculating in other universes" press releases of late). I've shared the link to the source paper in the comments below (because LinkedIn algo). PS: I wrote more about this on the private list, touching on additional resources, like the previous Airbus explorations (using QUBO and a D-Wave annealer), the Airbus quantum computing challenge the preceded these efforts, the IEEE survey into quantum technology in aerospace, McKinsey's report for IATA on airline value chains, etc. DM me or reply "I want that" and I'll add you.

It seems pretty clear that the aerospace industry needs better tech. Planes have relied on satellite-based GPS for decades, but it's increasingly vulnerable to spoofing and jamming from bad actors and nation states, especially around are the Middle East and around Ukraine and Russia. A small toaster-size black box that leverages quantum physics and contains lasers, electrons and a single GPU could provide a solution. Or at least, Airbus's Silicon Valley-based innovation center, Acubed, thought it might. Acubed recently flew over 150 hours to test whether this navigation solution, known as quantum sensing, could be as reliable as GPS, and early results were promising, said Eric Euteneuer, principal systems engineer at the lab. The quantum sensing device is theoretically unjammable and unspoofable because it's completely analogue. Inside the black box, which was developed by Google spinout SandboxAQ, lasers fire at electrons, forcing photons to release a unique signature that's dependent on the magnetic pull at specific location. An AI algorithm that runs on a single GPU then correlates that signature to that exact location on the earth. When I first heard about quantum sensing a couple years ago, I was fascinated. But couldn't find any companies doing anything meaningful enough to cover. That's why my ears perked up when I heard about what Acubed was doing. There are certainly some hurdles before this becomes widely commercialized, but the promise is exciting. “It’s the first novel absolute navigation system to our knowledge in the last 50 years,” said SandboxAQ CEO Jack Hidary. Read the full story in The Wall Street Journal below for more on how the tech works and why quantum sensing applications go beyond aerospace and can even help doctors measure faint magnetic signals from the brain and the heart. And let me know what you think! Do we need a tech refresh on GPS? Could this be it?

Quantum Collaboration Signals a New Phase in the Global Tech Arms Race Introduction A landmark partnership between PsiQuantum and Lockheed Martin has pushed the quantum computing arms race into a more urgent, geopolitical phase. With direct implications for aerospace, defence, and national security strategy, senior intelligence leaders are framing this as a pivotal moment—one that will shape which nations lead in next-generation military capability. Why This Deal Matters • Former Australian Secret Intelligence Service director-general Nick Warner calls the collaboration essential to future defence innovation. • The partnership aims to develop and deploy fault-tolerant quantum algorithms for real-world mission use by the U.S. and its allies. • It squarely aligns quantum development with geopolitical competition across the U.S., China, Australia, and allied nations. • PsiQuantum is pursuing the first utility-scale, million-qubit fault-tolerant quantum computer, positioning itself as a potential “Google of the quantum era.” Strategic and Technical Implications • Lockheed Martin will use PsiQuantum’s secure platform, Construct, to design quantum-powered models for propulsion, heat transfer, fluid dynamics, and advanced aerospace engineering. • Utility-scale quantum computing would unlock simulations impossible for today’s supercomputers, transforming weapons design, materials science, and classified mission modelling. • PsiQuantum’s funding surge—over $1.5B from investors including Nvidia, BlackRock, Temasek, and Baillie Gifford—raises its valuation to $10.5B, signaling elite confidence in its roadmap. • Australia’s combined $1B public investment enables construction of large-scale quantum sites in Brisbane and Chicago, despite political scrutiny over funding a company with large private backing. A Rapidly Escalating Global Race • PsiQuantum CEO Jeremy O’Brien insists quantum progress is now an engineering challenge—scaling systems to millions of qubits—not basic research. • The firm targets operational fault-tolerant systems by 2027, an aggressive timeline that aligns with accelerated defence-sector demand. • Lockheed Martin says it is “laser-focused” on fieldable quantum technologies tied directly to mission capability, reinforcing that this is no longer theoretical work—it's weapons-relevant innovation. Conclusion This partnership marks a decisive shift: quantum computing is no longer a speculative technology but a contested strategic asset. PsiQuantum’s scale, funding, and government alignment position it at the forefront of a global race where defence readiness will increasingly hinge on quantum-enabled modelling and decision superiority. For the U.S. and its allies, the window to deploy usable quantum capability is rapidly narrowing—and this collaboration moves that frontier forward. I share daily insights with 33,000+ followers across defense, tech, and policy. Keith King https://lnkd.in/gHPvUttw

One wrong choice in radiation shielding could turn a Mars mission into a one-way trip. Quantum algorithms may be useful in targeting the materials to prevent that. Every week, I track the quantum research that’s intended for real-world performance, resilience, and utility. These are early steps, but they point toward where quantum may prove its worth. ⚇ QuReBot for safer robots: Simula Research Laboratory, University of Oslo, and collaborators developed a hybrid quantum-classical model that predicts autonomous mobile robot positions with 15% lower error than classical baselines. ⚇ Radiation shielding for space travel: Malaviya National Institute of Technology Jaipur, Indian Institute of Science Education and Research (IISER), Pune, and University of Delhi used NASA - National Aeronautics and Space Administration’s OLTARIS platform with hybrid quantum algorithms to identify lithium hydride and beryllium borohydride as optimal for protecting astronauts from galactic and solar radiation. ⚇ Field-tested quantum networks: The Air Force Research Laboratory deployed three operational QLANs, blending fiber-optic and free-space links, to validate stable long-distance entanglement under diverse, real-world conditions. If you want these kinds of insights in your inbox every morning, subscribe to the Daily Qubit and never miss a qubit. Link in the comments. #quantumcomputing #quantumalgorithms #quantumnetworks

Next-Gen Lightweight Aircrafts ✈ The quest for ever-lighter, high aspect ratio wings (AR = b^2/S) presents a classic engineering dilemma: reduce weight for improved fuel efficiency and range, but risk compromising structural integrity. Traditional methods often struggle with:  a. Non-linear material behavior: Current optimization techniques frequently rely on simplified material models, potentially overlooking crucial real-world complexities like composite anisotropy or damage tolerance. b. Computational cost: Large-scale wing designs with intricate geometries can push traditional optimization algorithms to their limits, hindering design exploration and cycle times.    Here at BosonQ Psi (BQP), we're exploring the potential of advanced optimization methodologies to address these limitations:  We are exploring the potential of quantum algorithms. We're actively exploring the integration of quantum algorithms with our high-fidelity and ROM techniques. Our Novel Optimization approach offers the potential to revolutionize optimization on today's HPC This hybrid approach promises to:  1. Tackling highly complex design spaces  2. Uncover truly optimal designs by identifying material distributions and wing configurations that may be beyond the reach of traditional classical optimization methods.  3. Accelerate design cycles leading to faster innovation and time-to-market for next-generation aircraft. In the coming weeks, we will be showcasing the possibilities of our Quantum Inspired techniques to solve sticky problems that have plagued us for long. What do you think? Let me know in the comments #aerospace #optimization #quantumcomputing #simulation