HKA Marketing Communications (Quantum Tech PR)

Instead of watching an hour of Netflix, watch this 2 hour hour Stanford lecture will teach you more about how LLMs like ChatGPT and Claude are built than most people working at top AI companies learn in their entire careers.

Microplastics and nanoplastics were found in 100% of healthy brains, 99.4% of diseased brains, with much higher concentrations adjacent to brain tumors nature.com/articles/s4436…

Happy birthday to Glenn T. Seaborg (1912–1999), Berkeley Lab Associate Director-at-Large and Nobel Prize–winning chemist. He co-discovered plutonium (Pu) and helped expand the periodic table, including element seaborgium (Sg), named in his honor. #PeriodicTable #ScienceHistory

Cornell Finds Noble Metals Enhance Superconductor Adhesion Layers #quantum #quantumcomputing #technology quantumzeitgeist.com/noble-metals-s…

Millions of patients each year arrive in emergency departments with chest pain, and too many land in a diagnostic gray zone. In a recent fireside chat, Dr. Jeff Bander, Chief of Cardiology at Mount Sinai West, shares how magnetocardiography (MCG) is poised to change that. By measuring the heart’s magnetic signals, MCG offers a non-invasive way to detect cardiac events earlier, reduce unnecessary admissions, and improve emergency department workflows—producing more accurate, undistorted 3D maps than ECG-based approaches and revealing physiological phenomena not captured by traditional EKGs. "The revolutionary part to me, as a cardiologist, is the ability to create an accurate 3D map of heart physiology, which EKG really can't do." Dr. Bander also discusses ongoing research with SandboxAQ in one of NYC’s busiest ERs and what this technology could mean for the future of cardiovascular care. With advances in AI simulation and large quantitative models, the next generation of cardiac diagnostics is already taking shape: youtube.com/watch?v=s7VK4_… To learn more about MCG and the AQMed team, visit our website at: sandboxaq.com/solutions/aqmed

Proud moment for Classiq! Our Quantum Error Correction Researcher Gilad Kishony has published a paper with none other than Austin Fowler—and it’s a standout. Introducing a novel approach that reshapes how we think about quantum error correction. Here is all you need to know: Compiling a logical computation for execution via lattice surgery on the surface code is a layered problem rather than a single translation step. The computation must first be mapped to a topological picture, and that picture must then be embedded as a consistent layout in three-dimensional space-time. Only after that can the abstract structure be lowered to the physical-qubit level: determining which stabilizers are measured, on which plaquettes or elongated regions, and how those measurements tile the device. Even once the layout is fixed, much of the work still remains. The syndrome-extraction circuits implementing each stabilizer measurement must be specified gate by gate, including the ordering of two-qubit couplings, their timing relative to neighboring operations, and the scheduling of resets and measurements. These choices determine how faults propagate, for example, through hook errors, and therefore directly affect the achieved circuit-level distance and resource overhead. The objective is to reduce this low-level complexity, requiring fewer geometry-dependent conventions and fewer special scheduling cases, without sacrificing the performance metrics that matter in practice, such as preserving distance and keeping the measurement cycle as compact as the hardware model permits. The diagonal schedule provides a “same recipe everywhere” approach: one fixed ordering for all X-type stabilizers and another for all Z-type stabilizers. This removes the need to specify circuits on a plaquette-by-plaquette basis while still steering hook errors away from logical-operator directions, thereby preserving full circuit-level distance. Discover the full approach: arxiv.org/abs/2602.09099

Happening tomorrow!

C12 Unveils Roadmap, Targets Useful Fault-tolerant Quantum Computing by 2033 Read more: thequantuminsider.com/2026/04/17/c12…

Congratulations to the Muon g-2 collaboration

Congratulations to the Muon g‑2 collaborations! Decades of groundbreaking precision physics from Muon #gminus2 experiments — beginning @CERN, advancing @BrookhavenLab, and culminating at Fermilab — are honored with this award. news.fnal.gov/2026/04/fermil…

Data overload is a daily reality for scientists using advanced detectors like those at @advancedphoton. A new chip by Argonne scientists compresses and processes massive data streams instantly, right at the source - bit.ly/4lO0sjz

🏆 Zorionak @RealSociedad ! Proud to support such a forward-thinking club on their King's Cup triumph. Together, we are bringing AI & Quantum into elite football with our Player Injury Risk Monitor helping predict injuries and optimize performance ⚽️ The future of sport is here. 👉 multiversecomputing.com/player-injury-… #RealSociedad #CopaDelRey #SportsTech #AI #FootballInnovation

Superconductors that work near room temperature? Scientists at Argonne, @thisisUIC, @UChicago & @Livermore_Lab used the @advancedphoton to unlock atomic-level secrets of superhydrides—bringing practical superconductors one step closer.

If useful quantum computing is the next moonshot, now we’re building the rocket. 👊🔧⚡ At Alice & Bob, we spent our early years controlling a single cat qubit 🐈‍⬛, understanding its physics. Now the job is to scale these systems, and that’s a serious engineering challenge. Day to day, that means tweaking a chip design over and over, aligning components that shrink when you cool them to temperatures lower than parts of outer space, or tuning signals with absurd precision. 🧠🔩 Obviously, no one does it alone. Now we’re nearly 250 people, 30 nationalities, tackling one of the biggest challenges today: building a useful quantum computer. ⚛️🖥️ Hear all about it from our team. 🎥 Watch the full video: 🔗 bit.ly/engineering-al… #quantumcomputing #quantumphysics #quantumlab #deeptech

Jason Castro, CISM from EPRI joins The Quantum Insider's live expert panel on April 21 to discuss how the energy sector is preparing for quantum threats and how the Cyber Quantum Challenge 2026 is accelerating real-world solutions. The panel will explore: - The specific cybersecurity constraints of the energy grid - How quantum technologies can both defend and transform OT environments - What the challenge means for innovators ready to move from research to deployment Save The Date: April 21, 2026 | 11am EST Register here: airmeet.com/e/f92ec180-23c…

🚀 @MultiverseCompu featured in @GSMA ’s Quantum Technologies report with @Telefonica Using CompactifAI, we compressed Llama 3.1 8B & 70B to deliver: ✅ 80% smaller models ⚡ 75% less energy use 💬 Faster AI customer service 🌱 Lower CO₂ Real-world quantum-inspired LLM compression is here scaling AI efficiently without compromising performance. 📄 Read here: multiversecomputing.com/resources/gsma… @Telefonica_en @Movistar #AI #LLM #Telecom #QuantumInspired #GenAI #ModelCompression

Who is Alice? Who is Bob? 🧐 Not our founders. Definitely not random. If you’ve crossed paths with them before, you already know there’s more to the story. If not… you’re about to 😎 -> bit.ly/4tEgEGv #QuantumComputing #Physics #DeepTech #Cryptography #QuantumPhysics #STEM #TechCulture #AliceAndBob

Researchers at Argonne’s @advancedphoton and Center for Nanoscale Materials have developed a way to print durable, low-power transistors, enabling faster, more flexible manufacturing for future electronics - bit.ly/4sQocpc

Chinese Quantum Startup QBoson Raises $145 Million to Scale Chip Production thequantuminsider.com/2026/04/06/chi…

Scientists designed a state-of-the-art detector to electronically tune itself, enabling scientists to search broader frequency ranges for evidence of weak signals produced by possible dark matter particles much faster and more precisely than ever before. news.fnal.gov/2026/04/new-el…