Tag: quantum computing

Simulating quantum systems using classical computers remains a computational challenge. In fact, the resources required for these simulations scale exponentially with the size of the system being simulated. This fact is at the core of the motivation to build a quantum computer. Quantum computers have the potential to surpass even the most powerful supercomputers when […]

Today, we’re excited to announce the launch of local device emulator on Amazon Braket. This feature enables developers to emulate their verbatim circuits based on device calibration data. Local device emulation helps accelerate the development cycle by providing early feedback on circuit compatibility and expected behavior in the presence of noise. In this post, we […]

When running quantum computing workloads with multiple circuits, such as simulating molecular systems, building classical shadows, and training quantum machine learning models, submitting each circuit individually creates substantial delays between executions due to task setup and processing time. This overhead adds hours to the total run time of the experiments and makes the results sensitive […]

Available today, quantum computing developers, educators, and enthusiasts can learn the foundations of quantum computing on Amazon Web Services (AWS) with the Amazon 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 […]

Amazon Braket enables customers to design and run quantum algorithms on a broad selection of quantum hardware through a unified interface. Today, we expand the hardware available on Braket with the general availability of IQM’s latest quantum processing unit (QPU). The device, named Emerald, is a 54-qubit superconducting QPU providing customers higher fidelity gates and […]

Numerical simulations of complex fluid dynamics, electromagnetics and thermomechanical problems are crucial in the automotive and aerospace industries for designing and optimizing components like airplane wings, yet modeling continuum physics on high-resolution grids pushes classical computing to its limits. Quantum computing offers a potential path to overcome these barriers by encoding large simulation grids with […]

Boost the performance of your quantum workloads on IonQ hardware with Q-CTRL’s Fire Opal error suppression technology, now available on Amazon Braket. Achieve increased accuracy and run deeper, wider circuits with just a few lines of code.

Amazon Braket provides access to quantum computing resources and tools to develop quantum algorithms, test them on quantum circuit simulators, and run them on different quantum hardware technologies. Amazon Braket notebooks provide customers with a fully managed development environment that comes pre-installed with a range of and quantum development frameworks, including the Amazon Braket SDK […]

This post was contributed by Damian Steiger, Martin Schuetz, Alexander Opfolter, and Helmut Katzgraber The five winning teams of the Airbus and BMW Group Quantum Computing Challenge were announced today at the Q2B conference in Silicon Valley, California. The challenge, focused on tackling the most pressing applications in aviation and the automative industry, was a […]

Fidelity and AWS have teamed up to put their brains together and create a Combinatorial Brain Surgeon (iCBS) to operate on AI models. This innovative pruning algorithm is just what the doctor ordered for your large-scale AI needs. Check out our latest blog for the full diagnosis.