AWS Quantum Technologies Blog
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Advancing hybrid quantum computing research with Amazon Braket and NVIDIA CUDA-Q
The future is hybrid quantum-classical computing. Find out how NVIDIA and Amazon are teaming up to advance hybrid quantum workflows.
Assessing performance of a variational algorithm in presence of noise and quantum error mitigation
Can variational quantum algorithms find useful applications before full error correction? Our new post analyzes VQE performance under noise for quantum chemistry.
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.
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.
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.
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.
Analog Hamiltonian simulation with PennyLane
In this post, we’ll describe how the PennyLane-Braket SDK plugin to study the ground state of the anti-ferromagnetic Ising spin-chain on a 1D lattice on the Aquila quantum processor, a neutral-atom quantum computer available on-demand via the AWS Cloud.
Introducing a new temperature-resistant packaging technique for optical devices
Today, we’re announcing a first-of-its-kind advancement in photonic interconnection – a fiber-device interface that can withstand multiple cycles of cooling to cryogenic temperatures – and back – without introducing additional losses.
Graph coloring with physics-inspired graph neural networks
In this post we show how physics-inspired graph neural networks can be used to solve the notoriously hard graph-coloring problem, at scale. This can help in an huge number of familiar resource-allocation problems from sports to rental cars.
How we learned to program with atoms in 24 hours flat
Earlier this year, QuEra and AWS sponsored the first-ever hackathon on a neutral-atom computer. In 24 hrs the teams solved hard problems using real quantum computers. It was a rush. We asked the winning team to tell us their story.