AWS Quantum Technologies Blog
Tag: science
Amazon Braket launches new superconducting quantum processor from IQM
Amazon Braket brings quantum computing to more users with a new 20-qubit processor from IQM in the EU. See how this tech could shape the future in our blog post.
JPMorgan Chase and AWS study the prospects for quantum speedups with near-term Rydberg atom arrays
Want the details on using quantum optimization for finance? New research from Amazon QSL and JPMorgan Chase maps out pathways to quantum advantage. Their post analyzes problem classes inspired by real-world use cases, setting the stage for impactful future experiments.
Local detuning now available on QuEra’s Aquila device with Braket Direct
Three new capabilities launched today for Aquila on Amazon Braket let you customize lattice geometry and detuning. Learn how increased flexibility empowers your research.
Accelerating simulated quantum annealing on AWS Graviton processors
In this new post you’ll learn how Arm-based AWS Graviton processors can accelerate Simulated Quantum Annealing for nonlinear optimization problems in quantum computing.
Exploring quantum-informed recursive optimization algorithms on Amazon Braket
Combinatorial optimization problems got you stumped? Check out our new blog exploring a hybrid algorithm that taps into quantum computing to recursively reduce complexity while ensuring feasible solutions.
A new building block for error-corrected quantum computers
Quantum error correction is key to building useful quantum computers. New research by Amazon & Caltech demonstrates a strategy that cuts the overhead of error correction. A lot.
Enabling state-of-the-art quantum algorithms with Qedma’s error mitigation and IonQ, using Braket Direct
The story of how Qedma used Amazon Braket Direct for dedicated access to IonQ hardware to execute milestone VQE circuits. This post details leveraging reservations and collaborating directly with experts. An exciting look at accelerating innovation in quantum computing.
Explainable AI using expressive Boolean formulas
ML models driving high-stakes decisions need interpretability. See how the Amazon QSL and Fidelity FCAT developed interpretable models based on Boolean logic.
Introducing the Amazon Braket Learning Plan and Digital Badge
Available today, quantum computing developers, educators, and enthusiasts can learn the foundations of quantum computing on Amazon Web Services (AWS) with the Amazon Braket Digital Learning Plan and earn their own Digital badge – at no additional cost. You earn the badge after completing a series of learning courses and scoring at least 80% on an […]
A detailed, end-to-end assessment of a quantum algorithm for portfolio optimization, released by Goldman Sachs and AWS
In this post we’ll walk you through some key takeaways from a paper published today by scientists from Goldman Sachs and AWS describing a quantum algorithm for portfolio optimization.