Los Alamos National Laboratory recently published a Quantum Computer programming guide in ACM Transactions on Quantum Computing. For would-be quantum programmers scratching their heads over how to jump into the game as quantum computers proliferate and become publicly […]
A team of researchers including Google Quantum AI has developed a theory suggesting that quantum computers should be exponentially faster on some learning tasks than classical machines. The scientists tested their work on Google’s Sycamore […]
To overcome the limitations of current quantum computers, researchers at Pacific Northwest National Laboratory (PNNL) are developing simulations that provide a glimpse into how quantum computers work. In collaboration with Oak Ridge National Laboratory and […]
A team of researchers have presented the Scaled QUantum IDentifier (SQUID), an open-source framework for exploring hybrid Quantum-Classical algorithms for classification problems. The classical infrastructure is based on PyTorch and they provide a standardized design […]
Research in Quantum Machine Learning (QML) has focused primarily on variational quantum algorithms (VQAs), and several proposals to enhance supervised, unsupervised and reinforcement learning (RL) algorithms with VQAs have been put forward. Out of the […]
Variational Quantum Algorithms (VQAs) are expected to be a path to quantum advantages on noisy intermediate-scale quantum devices. However, both empirical and theoretical results exhibit that the deployed ansatz heavily affects the performance of VQAs […]
Researchers have proposed a quantum implementation of the Stochastic Series Expansion (SSE) Monte Carlo method and shown it offers significant advantages over classical implementations of SSE. In particular, for problems where classical SSE encounters the […]
Lawrence Berkeley National Laboratory physicists have leveraged an IBM Q quantum computer through the Oak Ridge Leadership Computing Facility to capture part of a calculation of two protons colliding. The calculation can show the probability […]
NVIDIA cuQuantum debuts with an expanding ecosystem and a collaboration building the programming model for tomorrow’s most powerful systems. As quantum computers improve, researchers share a vision of a hybrid computing model where quantum and […]
Researchers at MIT are working to mitigate the noise problem in quantum computing by developing a technique that makes the quantum circuit itself resilient to noise. (Specifically, these are “parameterized” quantum circuits that contain adjustable […]
