During his doctoral research on the ties between aging and mitochondria, Martin Picard frequently saw micrographs of those energy-producing organelles. Yet it wasn’t until fairly late in his graduate work that he first watched sped-up […]
Image by PublicDomainPictures from Pixabay New Possibilities The results of research conducted at Tampere University have concluded how the speed of spectroscopic measurements can be made much faster. By correlating polarization to the colour of a […]
IonQ, Inc. recently announced that Google Cloud customers can purchase access to its quantum computers via the Google Cloud Marketplace. Beyond a cool deal for the Google Cloud customers, this makes the Maryland-based IonQ the […]
Quantum 5, 497 (2021). https://doi.org/10.22331/q-2021-07-06-497 This paper presents “Stim”, a fast simulator for quantum stabilizer circuits. The paper explains how Stim works and compares it to existing tools. With no foreknowledge, Stim can analyze a […]
Rohde & Schwarz is an electronics company headquartered in Munich, Germany with products for the electronic test equipment, broadcast & media, cybersecurity, radio monitoring and radiolocation, and radiocommunication markets. For their fiscal 2019/2020 year they achieved revenue of […]
High-performance computer users in the market for a quantum annealing machine or looking for ways to get the most out of one they already have will benefit from a new, open-source software tool for evaluating […]
Image by David Peterson from Pixabay Contribution In 2019, the South Korean government invested nearly $40 million for the development of quantum computing technology, aimed specifically for projects in quantum developing new architecture, quantum algorithms and […]
Image by methodshop from Pixabay NISQ Era There is not a shred of doubt that quantum computers — when they reach their full potential — will have exponentially more computational power than the most powerful supercomputers on the planet. Fundamentally […]
Quantum 5, 496 (2021). https://doi.org/10.22331/q-2021-07-05-496 We study supervised learning algorithms in which a quantum device is used to perform a computational subroutine – either for prediction via probability estimation, or to compute a kernel via […]
Quantum 5, 495 (2021). https://doi.org/10.22331/q-2021-07-05-495 We consider simulating quantum systems on digital quantum computers. We show that the performance of quantum simulation can be improved by simultaneously exploiting commutativity of the target Hamiltonian, sparsity of […]
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