AWS Quantum Technologies Blog
Tag: Quantum Technologies
Thermodynamic sampling of disordered materials with an analog Hamiltonian Rydberg simulator
This post was contributed by Mao Lin, Bruno Camino, John Buckeridge and Scott M. Woodley Many advanced materials — from battery electrodes to semiconductor alloys — owe their useful properties to atomic-scale disorder. But predicting how atoms arrange themselves at a given temperature is hard: the number of possible configurations explodes combinatorially and sampling them […]
A framework for quantum-classical integration decisions
This post was contributed by Dimitar Trenev, Sebastian Stern, Tyler Takeshita, Cedric Lin, Peter Komar, Pooja Rao, Jerome Gonthier, and Elica Kyoseva. As quantum computing matures toward fault tolerance, a pressing question faces the high-performance computing (HPC) community: why is tightly integrating quantum processors to classical supercomputing infrastructure important? Today, algorithm researchers from Amazon Web […]
Explore NVIDIA CUDA-Q Applications Hub and Academic Library with Amazon Braket
Amazon Braket managed notebook instances (NBIs) now include NVIDIA CUDA-Q Applications Hub and CUDA-Q Academic Library launch notebooks, bringing peer-reviewed quantum research examples and structured learning resources directly into your Braket environment and making it simple to explore and develop hybrid quantum-classical applications. Braket NBIs support a range of Amazon Elastic Compute Cloud (Amazon EC2) […]
Classiq and AWS Power Quantum-Classical Chemistry Innovation in Singapore with Hatch
Introduction In biochemical processes development and analysis, binding energy, the energy released when a small molecule docks into a protein’s active site, determines how strongly a compound, such as a ligand, interacts with its protein target. Early-stage computational prediction of this quantity helps research teams prioritize candidates before committing to resource-intensive laboratory testing. Conventional methods […]
AWS Deepens Strategic Collaboration with QuEra to Bring Fault-Tolerant Quantum Computing to Amazon Braket
AWS and QuEra will bring the first fault-tolerant quantum computers to the cloud, enabling scientifically relevant applications starting in 2028. Since launching Amazon Braket in 2020, AWS has provided customers access to quantum computing hardware across multiple modalities, helping them explore quantum algorithms and prepare for the future of accelerated computing. Today, we are announcing […]
Realizing the fermionic Laughlin state on a trapped-ion quantum processor
This post was contributed by Lingnan Shen, Mao Lin, Cedric Yen-Yu Lin, Di Xiao, and Ting Cao Quantum computing is beginning to simulate forms of matter that are difficult to study in the lab or compute classically. In this work, researchers from University of Washington and Amazon Braket demonstrate one such milestone. They realized a […]
Amazon Braket launches Rigetti Cepheus™-1-108Q superconducting device
This post was contributed to by Zia Mohammad, Scott Smart, Yuvraj Mohan, Mike Piech, and Rebecca Malamud Figure 1: A Rigetti quantum processing unit (QPU) inside a dilution refrigerator. Photo by Drew Bird. Amazon Braket enables customers to design and run quantum algorithms on a broad selection of quantum hardware through a unified interface. On […]
Building advanced quantum chemistry calculations with Kvantify Qrunch on Amazon Braket
Quantum computing promises breakthroughs in chemistry simulations. However, building scalable calculations on today’s noisy quantum hardware remains challenging. This blog introduces Kvantify Qrunch software on Amazon Braket. It enables advanced chemistry calculations using efficient hybrid quantum algorithms on current Noisy Intermediate-Scale Quantum (NISQ) devices. Chemistry is at the heart of several industries with profound economic […]
Qiskit-Braket provider v0.11: New Primitives and Flexible Circuit Compilation
We recently released v0.11 of the Qiskit-Braket provider, which brings more Qiskit features to Amazon Braket users, improves access to Braket backends through Qiskit, and also enables compilation on the Braket SDK or with OpenQASM Programs. With v0.11, the Qiskit-Braket provider now: Supports flexible compilation features for Braket using common Qiskit transpile functionality through the […]
Quantum-Guided Cluster Algorithms for Combinatorial Optimization
This post was contributed by Peter Eder, Aron Kerschbaumer, Jernej Rudi Finžgar, Raimel Medina, Martin Schuetz, Helmut Katzgraber, Sarah Braun, and Christian Mendl. Optimizing complex systems is a major challenge in science and industry. Many tasks – such as scheduling, routing, portfolio selection, or network design – can be written as combinatorial optimization problems that […]