AWS Quantum Technologies Blog
Tag: Quantum Technologies
Introducing the HAQM Braket Learning Plan and Digital Badge
Available today, quantum computing developers, educators, and enthusiasts can learn the foundations of quantum computing on HAQM Web Services (AWS) with the HAQM Braket Digital Learning Plan and earn their own Digital badge – at no additional cost. You earn the badge after completing a series of learning courses and scoring at least 80% on an […]
Towards practical molecular electronic structure simulations on NISQ devices with HAQM 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 HAQM Braket Hybrid Job with minimal code changes
Today we’ll show you how to use a new python decorator from the HAQM Braket SDK to help algorithm researchers seamlessly execute local Python functions as an HAQM 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 HAQM Braket
Today, we’re announcing improvements to the task-processing speed and our support for parametric compilation on QPUs from Rigetti Computing in HAQM Braket. This enables up to 10x faster runtime performance for algorithms that use HAQM Braket Hybrid Jobs.
Optimization with OpenQAOA on HAQM 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 HAQM Braket.
How to use pulse-level control on OQC’s superconducting quantum computer
HAQM 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 HAQM Braket
In this post, we’ll explore the Wolfram Quantum Framework and show you how to connect it with HAQM 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.