Tag: quantum research

Researchers made breakthroughs in distributing, storing, & processing quantum data across a network in Boston. Discover the tech that might power a future secure quantum internet.

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.

Three new capabilities launched today for Aquila on Amazon Braket let you customize lattice geometry and detuning. Learn how increased flexibility empowers your research.

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.

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.

ML models driving high-stakes decisions need interpretability. See how the Amazon QSL and Fidelity FCAT developed interpretable models based on Boolean logic.

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.

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.

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.

Today we’ll show you how to use a new python decorator from the Amazon Braket SDK to help algorithm researchers seamlessly execute local Python functions as an Amazon Braket Hybrid Job with just one extra line of code.