AWS Quantum Technologies Blog
Tag: Quantum Technologies
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.
Optimization with OpenQAOA on Amazon Braket
In this blog post, we introduce OpenQAOA, Entropica Labs’ open-source SDK for the QAOA, and OpenQAOA-Braket, a plugin specifically designed to expand OpenQAOA’s capabilities by leveraging Amazon Braket.
How to use pulse-level control on OQC’s superconducting quantum computer
Amazon Braket Pulse lets you control the low-level analog instructions for quantum computers, to optimize performance or develop new analog protocols, like error suppression and mitigation. Today we show you how and describe some best practices.
Introducing the Wolfram Quantum Framework for Amazon Braket
In this post, we’ll explore the Wolfram Quantum Framework and show you how to connect it with Amazon Braket to run quantum algorithms.
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.
Perfect imperfections: how AWS is innovating on diamond materials for quantum communication with Element Six
This post introduces key concepts of quantum communication showing how diamonds can be used in quantum networking nodes. And we’re announcing a new research collaboration with Element Six to explore ways to develop and improve synthetic diamond for quantum networking.