AWS Quantum Technologies Blog
Tag: quantum research
Amazon Braket Introduces Spending Limits for Quantum Processing Units
This post was contributed by Dimitar Trenev, Vivek Dwivedi, and Zia Mohammad Customers from research institutions, educational organizations, and development teams asked us for a better way to control quantum processing unit (QPU) cost while exploring quantum computing applications. With this launch, Amazon Braket now supports spending limits, which enables you to set maximum spending […]
Exact simulation of Quantum Enhanced Signature Kernels for financial data streams prediction using Amazon Braket
This post was contributed by Ernesto Palidda and Marco Paini from Rigetti Computing, Cristopher Salvi and Antoine Jacquier from Imperial College London, Samuel Crew from National Tsing Hua University and Shaun Geaney from Standard Chartered along with Sebastian Stern and Michael Brett from Amazon Web Services (AWS). Empirical evidence suggests that well-chosen quantum feature maps […]
Leveraging near-term quantum hardware for simulating high-dimensional dynamics
This post was contributed by Jiaqi Leng, Joseph Li, Xiaodi Wu Scientists and engineers face numerous computational challenges in fields like fluid dynamics [1], modeling heat and sound propagation [2], and aircraft design [3]. Simulating partial differential equations (PDEs) in high dimensions offers a powerful approach to addressing these challenges. However, solving these high-dimensional differential […]
Accelerating the Quantum Toolkit for Python (QuTiP) with cuQuantum on AWS
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 […]
Quantum-amenable pruning of large language models and large vision models using block coordinate descent
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.
Advancing hybrid quantum computing research with Amazon Braket and NVIDIA CUDA-Q
The future is hybrid quantum-classical computing. Find out how NVIDIA and Amazon are teaming up to advance hybrid quantum workflows.
AWS announces the Quantum Embark Program to help customers get ready for quantum computing
Quantum computing promises to revolutionize industries. Our new Quantum Embark program provides expert guidance to help you harness its potential.
Assessing performance of a variational algorithm in presence of noise and quantum error mitigation
Can variational quantum algorithms find useful applications before full error correction? Our new post analyzes VQE performance under noise for quantum chemistry.
Accelerate quantum software development on Amazon Braket with Claude-3
Accelerate your quantum programming with a custom generative AI assistant for Amazon Braket. Learn how to build your own AI-powered code assistant in our latest post.
Take quantum computing from theory to practice with Amazon Braket
In this post, we’ll explore quantum computing using Amazon Braket. We’ll take an educational approach for this by using a well-known quantum algorithm, Grover’s algorithm. We’ll first explain how Grover’s algorithm works, then we’ll introduce the dinner party problem which involves identifying a set of friends that can be invited together to a party satisfying […]