AWS Quantum Technologies Blog
Tag: Quantum Technologies
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.
Towards practical molecular electronic structure simulations on NISQ devices with Amazon Braket and Kvantify’s FAST-VQE algorithm
Quantum computing’s potential for computational chemistry is immense, but there are practical limitations. We show how Kvantify’s FAST-VQE algorithm can deliver great accuracy, performance, superior cost-effectiveness, driving us closer to transformative applications in drug discovery.
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.
Explore quantum algorithms faster by running your local Python code as an Amazon Braket Hybrid Job with minimal code changes
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.
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.
Speeding up hybrid quantum algorithms with parametric circuits on Amazon Braket
Today, we’re announcing improvements to the task-processing speed and our support for parametric compilation on QPUs from Rigetti Computing in Amazon Braket. This enables up to 10x faster runtime performance for algorithms that use Amazon Braket Hybrid Jobs.