AWS Quantum Technologies Blog
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.
Hyperparameter optimization for quantum machine learning with Amazon Braket
Check out our latest blog to learn how we implemented a cost-effective development cycle for training a hybrid quantum-classical algorithm using Amazon Braket and hyperparameter optimization.
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.
Citi and Classiq advance quantum solutions for portfolio optimization using Amazon Braket
Today we look at how Citi Innovation Labs is exploring quantum computing for portfolio optimization in partnership with Classiq and AWS. Their research examines how adjustments to the QAOA algorithm’s penalty factor impact performance.
Exploring industrial use cases in the Airbus-BMW Group Quantum Computing Challenge
Discover how Airbus and BMW Group are harnessing quantum computing to tackle industry challenges. Join the Airbus-BMW Group Quantum Mobility Quest and help shape the future of transportation.