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Sydney, New South Wales
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
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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
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#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
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Exciting new research with @qctrlHQ ! #openaccess
#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
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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
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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
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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
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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
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#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
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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
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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
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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
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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
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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
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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
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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
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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
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We’re heading to #IEEEQuantumWeek 2026 in Toronto! Join Q-CTRL at booth 408, Sept 13–18, to explore the technologies and infrastructure driving quantum computing toward real-world utility. More details: buff.ly/EfqFj6F #QuantumComputing #QCE26
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Introducing Black Opal's new finance skill! Learn: 🔹 Option pricing and classical Monte Carlo techniques 🔹 Benefits of quantum Monte Carlo integration on real hardware 🔹 How to encode financial data and run algorithms Try it out for free today! buff.ly/ieRGXdV
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Black Opal's interactive visual lessons break down #QuantumComputing concepts into clear, practical skills. Built for public and private organizations, it enables you to upskill domain experts and non-technical teams. Start your free trial today. buff.ly/br2BdXz
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