Tuning a #QuantumComputer still falls to the experts you hired to do research. It can take days. Boulder Opal does it on its own, it characterizes and calibrates the entire device, presenting you with complete records on the dashboard. Learn more: buff.ly/zmVfPdI #Qubit

Earth’s quantum field and signals from other satellites may prove more reliable economist.com/science-and-te…

Bringing #quantum hardware online at scale takes more than manual tuning. James Guilmart from Q-CTRL joins the panel "Rise of the Machines: Automated Bring-Up" at Q+AI 3.0, Oct 26 in NYC. Add it to your agenda. buff.ly/QyZafuu

Recursive AI self-improvement relies on solving massive #optimization problems. In @datacenter Q-CTRL’s Jay Guilmart explains how #QuantumComputing algorithms like Grover’s search vast parameter spaces faster to find optimal #AI models. buff.ly/HtQJbu6

Q-CTRL CEO @mjbiercuk will deliver a keynote session at EmTech @techreview, exploring how #quantum #sensing is pushing beyond the limits of existing systems and why that may become one of the most surprising and consequential applications of the field. buff.ly/lOV1ycR

#compchem #quantumcomputing New paper published in Physical Review research: "Practical protein-pocket hydration-site prediction for drug discovery on a quantum computer". Great collaboration with @qubit_pharma and @qctrlHQ ! Here are the key takeaways from this work: 🔬Formulating the Problem: We mapped the 3D hydration-site prediction task onto a Quadratic Unconstrained Binary Optimization (QUBO) problem by fitting 3D Reference Interaction Site Model (3D-RISM) continuous water densities into a Gaussian Mixture Model (GMM). ⚡ Demonstrating Scale on Real Quantum Hardware:Ran hardware experiments on 156-qubit IBM Heron processors using Q-CTRL’s Fire Opal optimization solver. Successfully scaled up to 123 qubits to solve 3D water placement in real-life protein-ligand complexes (FDA-approved drug target sites). Matched the accuracy of classical approaches while achieving significantly higher success probabilities than traditional simulated annealing (SA) heuristics on hardware. 📈 Path to Quantum Utility: Detailed resource estimations reveal that accuracy systematically improves as the problem scale expands toward ~900+ qubits. With rapid developments in hardware and early error correction, full quantum advantage for CADD setup tasks, such as molecular docking and lead optimization, is approaching. A massive thank you to co-authors: @loco_daniele, Kisa Barkemeyer, Andre R. R. Carvalho for driving this forward! 📄 Read the full paper here: doi.org/10.1103/gyqr-mvlh

Exciting new research with @qctrlHQ ! #openaccess

Join our Lead Solutions Engineer, Niall Moroney, at the Quantum Innovation Summit Dubai for his upcoming presentation, "Entering the Era of Practical Quantum Advantage." 📅 When: September 28 at 10:55 PM 📍 Where: @QISDubai - buff.ly/PUK2x7C #QuantumInnovationSummit2026

With GPS jamming up 220% between 2021 and 2024, aviation needs robust GPS backup navigation. @AviationNews highlights how our quantum navigation system uses rubidium-atom magnetometers to achieve <0.3 NMi positioning accuracy without satellite signals. buff.ly/nhtjYqB

Introducing Black Opal's new #quantum #finance skill! Learn: 🔹 Option pricing and classical Monte Carlo techniques 🔹 Benefits of Monte Carlo integration on real hardware 🔹 How to encode financial data and run algorithms Try it out for free today! buff.ly/Jn3qFSe

Monolithic #superconducting arrays face cryogenic and wiring limits as fault-tolerant #QuantumComputing hardware scales. Check out our presentation from the recent @SQAConference to see how we are overcoming these bottlenecks with software. buff.ly/XbV2ePZ

#QPU hardware team spends most of their time manually tuning and managing drift. Boulder Opal brings a QuantWare D-Line QPU from cold start to fully operational, unattended, delivering 99.95% median 1Q fidelity. See autonomous calibration in action: buff.ly/NYaIPTq

Fault-tolerant quantum computing hits a wall when a single qubit type has to compute, store, and communicate all at once. At Quantum World Congress, our Chief Scientist Michael Hush breaks down the heterogeneous alternative. Find us at #QWC26 @QWCevent: buff.ly/u1xyZLX

Solving optimization problems on quantum hardware? Fire Opal's Optimization Solver now lets you factor in real-world constraints, delivering up to 500% better results on hard problems like scheduling and routing. Blog 🔗 buff.ly/6XnadQI #QuantumComputing #QAOA #Qiskit

Join our Lead Solutions Engineer, Niall Moroney, at AIDAQ Summit Berlin as he takes the stage to share how we achieved practical quantum advantage in materials simulation. 📅 23 September, 15:00–15:20 📍 AIDAQ Berlin, @Bitkom_AI_Data 🔗 buff.ly/7tVJKYM #AIDAQ26

Q-CTRL is at #IEEEQuantumWeek this week: 4 more panels, a paper presentation, and workshops across quantum error correction, calibration & data center deployment. 📍 Find us at booth #408 all week 🔗 Agenda details: buff.ly/vDTX9zd #QCE26 #QuantumComputing

We demonstrated the world's first #GPS-free #quantum gravimetric #navigation at sea. Our software-ruggedized quantum gravimeter maintained 1 NMi positioning accuracy over the mission duration and surpassed navigation-grade backups by more than 10 times. buff.ly/KLkY5w7

Join Q-CTRL in Chicago for Quantum Meets Manufacturing on Sept 16 to explore what’s possible for the future of manufacturing and supply chain industries. Register here and connect with our team: buff.ly/yLTm0Tt #QuantumComputing #Manufacturing #SupplyChain #IMTS

Financial analysts use #MonteCarlo methods to navigate uncertainty, but greater precision raises compute costs. #QuantumComputing can tackle this bottleneck. Learn it in Black Opal. Run it on real hardware with Fire Opal. No quantum expertise required. 🔗 buff.ly/GFrez5G

We recently brought our latest achievement of quantum computing practical quantum advantage to the @SQAConference. Check out the recording to see how we make quantum technology useful through software. #QuantumComputing #QEC #SQA2026 buff.ly/2kB6K9P