Xanadu and AQT announced that PennyLane, an open-source project from Xanadu for quantum machine learning, automatic differentiation, and optimization, now supports AQT quantum computers. Xanadu develops software for quantum machine learning (QML) and optimization. PennyLane, one […]
Researchers at EPFL and IBM Quantum present a quantum algorithm to compute the discrete Legendre-Fenchel Transform (LFT). Most currently known quantum algorithms use a few basic building blocks as subroutines. Examples of these building blocks […]
Researchers at University of Stuttgart has just published an interesting paper “The Bitter Truth About Quantum Algorithms in the NISQ Era“. Implementing a quantum algorithm on a NISQ device has several challenges that arise from […]
Engineers from JPMorgan have found a method to improve Grover’s algorithm. Their innovation leads to a performance improvement because it removes, “X gates from the inversion-by-the-mean step in the standard Grover iterate that is used […]
Researchers of Polish Beit Project have presented a novel quantum algorithm for solving the unstructured search problem with one marked element. Their algorithm allows generating quantum circuits that use asymptotically fewer additional quantum gates than […]
Researchers at Atos Quantum Lab, Ecole Polytechnique and Argonne National Laboratory demonstrated a recently introduced method that breaks a quantum circuit into smaller sub-circuits or fragments, and thus makes it possible to run circuits that […]
Be ready to add a new acronym to your quantum taxonomy: QCD aka Quantum Computer-aided Design. Researchers at Intel, MIT and University of Toronto, have addressed the question of how one can design and test […]
The impressive pace of advance of quantum technology calls for robust and scalable techniques for the characterization and validation of quantum hardware. Quantum process tomography, the reconstruction of an unknown quantum channel from measurement data, […]
Quantum computing systems need to be benchmarked in terms of practical tasks they would be expected to do. A team of researchers at Cambridge Quantum Computing (CQC) and IBM has proposed “application-motivated” circuit classes for […]
Baidu announced Paddle Quantum, an open source machine learning toolkit designed to help data scientists train and develop AI within quantum computing applications. It’s built atop Baidu’s PaddlePaddle deep learning platform. Baidu claims it’s “more flexible” compared with other […]