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Sydney, New South Wales
Joined December 2017
California is building a statewide quantum ecosystem, and Q-CTRL is part of it. Q-CTRL joins Cisco, Diraq, and Quantum Machines at #QuantumCalifornia to discuss what’s driving the state’s quantum growth. 🔗 Learn more: buff.ly/7JrsY3N #QuantumComputing #DeepTech
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Join us for an expert panel exploring #QuantumComputing #education platforms and the learners they serve. We will discuss considerations for learners, educators, and training managers interested in quantum computing. Register today @The_QEDC! buff.ly/cy1j32J
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In one blueprint for Shor’s algorithm, over 99.5% of qubits sit idle, waiting on others to finish. At the @QueraComputing Quantum Alliance meeting, Q-CTRL’s Yuval Baum showed how smarter software cuts errors by orders of magnitude. 🔗buff.ly/FkUS8tA #QEC #FaultTolerant
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Black Opal for Enterprise delivers interactive learning designed to upskill your entire organization—from technical teams to business leadership. Equip your workforce with the skills needed to lead in the #quantum era and start your free trial today. buff.ly/BT8hRGt
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Quantum computing is advancing chemistry and materials science. With Mitsubishi Chemical Group, Fire Opal reduced gate overheads by 90% and enabled 5× wider circuits using QPDE, making large-scale quantum simulations achievable today. 📖 Case study: buff.ly/JRdTdx9
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Calibrating a QPU's gates still falls on the PhD experts you hired for research, and it comes back every time the device drifts. Boulder Opal does it on its own, with 99.95% median 1Q fidelity on QuantWare D-Line. Get your 30-day free trial today: buff.ly/Bn5CIG0 #qubits
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A short GPS outage costs the U.S. an estimated $1B a day. At #EmTechFuture, our CEO Michael Biercuk showed how quantum navigation keeps aircraft on track using Earth's magnetic field. More via @techtargetnews:buff.ly/PeEm5NS #QuantumSensing #QuantumNavigation #GPS
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At Q-CTRL, we’re building the software and systems that make quantum technology useful in the real world. If you're ready to solve meaningful, real-world problems at the intersection of #quantum, #AI, and #defense, explore our open roles today. buff.ly/FiTF7Bn
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Pricing derivatives or modeling risk? Monte Carlo precision gets expensive fast. Fire Opal's integrate_monte_carlo runs it on real quantum hardware, straight from Python. No circuit design or quantum expertise needed. Read the blog → buff.ly/EtpufZJ #QuantumComputing
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Check out our latest byline for @BuiltIn, where we highlight how professionals at every level can prepare for the imminent $2 trillion #quantum market using Black Opal, our interactive quantum #education platform. buff.ly/VbHJXxd
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The next supercomputer will couple QPUs, GPUs, and CPUs in one machine. Q-CTRL VP of Product, Alex Shih joins the panel on what it takes to get there, hosted by Anyon, NVIDIA, and Wintron at #SFTechWeek. 📅 Oct 7, San Francisco 🔗 buff.ly/yJAv0Kx #AI #Supercomputing
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We are thrilled that our pioneering work in #quantum “MagNav” has been highlighted by @TheEconomist as a leading example of next-generation alternatives to satellite-based #navigation to counter growing threats like widespread #GPS jamming and spoofing. buff.ly/vCpsJw9
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Qubit Pharmaceutical partnered with Q-CTRL to solve a drug discovery problem optimally in 25 minutes on real quantum hardware with Fire Opal Optimization Solver. An exact classical solver stalled at a 40% gap after 3 hrs. Case study: buff.ly/Q746rSR #QuantumComputing
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With the proliferation of #GPS jamming and spoofing devices, outages are becoming an active threat across aviation and defense. @MJBiercuk breaks down how #quantum #sensing is delivering resilient #navigation at @techreview’s EmTech Future. buff.ly/03iVp8S
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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
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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
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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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