AWS Quantum Technologies Blog
Tag: science
Local detuning now available on QuEra’s Aquila device with Braket Direct
Three new capabilities launched today for Aquila on Amazon Braket let you customize lattice geometry and detuning. Learn how increased flexibility empowers your research.
Accelerating simulated quantum annealing on AWS Graviton processors
In this new post you’ll learn how Arm-based AWS Graviton processors can accelerate Simulated Quantum Annealing for nonlinear optimization problems in quantum computing.
Exploring quantum-informed recursive optimization algorithms on Amazon Braket
Combinatorial optimization problems got you stumped? Check out our new blog exploring a hybrid algorithm that taps into quantum computing to recursively reduce complexity while ensuring feasible solutions.
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.
Introducing the Amazon Braket Learning Plan and Digital Badge
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 […]
A detailed, end-to-end assessment of a quantum algorithm for portfolio optimization, released by Goldman Sachs and AWS
In this post we’ll walk you through some key takeaways from a paper published today by scientists from Goldman Sachs and AWS describing a quantum algorithm for portfolio optimization.
Implementing a quantum-secured network in a metropolitan area
The AWS Center for Quantum Networking (CQN) has completed its first trial of quantum-secured communication in a customer environment. With a mission to address the fundamental scientific and engineering challenges to build quantum networks, we work with customers to evaluate the current state of the technology and its fit for cloud infrastructure. We’ve heard from […]
Optimization of robot trajectory planning with nature-inspired and hybrid quantum algorithms
Introduction The problem of robot motion planning is pervasive across many industry verticals, including (for example) automotive, manufacturing, and logistics. In the automotive industry, robotic path optimization problems can be found across the value chain in body shops, paint shops, assembly, and logistics, among others [1]. Typically, hundreds of robots operate in a single plant […]