Quantum Programming News
The Irish Centre for High-End Computing (ICHEC) announced that it has received the GPU-accelerated Quantum Learning Machine Enhanced (Atos QLM E) from Atos. ICHEC is the National High-Performance Computing (HPC) Centre which manages the Irish National supercomputer ‘Kay’ on behalf
Researchers at Amazon propose a new approach to reduce the number of ancillary qubits required to implement the crucial T gate by at least an order of magnitude. Today’s qubits are still too noisy to
Xanadu’s team has just released a very interesting and well-detailed post related to the recent Chinese Quantum advantage claim using quantum photonics. Here are some quotes and excerpts. We encourage you to read all the
Zapata Computing, in collaboration with IBM, has analyzed the performance of Variational Quantum Factoring (VQF) on superconducting quantum processor. Quantum computers hold promise as accelerators onto which some classically-intractable problems may be offloaded, necessitating hybrid
QC Ware and IonQ have collaborated and run experiment that demonstrated Machine Learning on near-term quantum computers can achieve the same or better level of accuracy and can aspire to be faster than on classical
Cambridge Quantum Computing (CQC), the 2014-founded UK startup, says it has built “meaning-aware” natural language processing on a quantum computer. The system understands both grammatical structure and the meaning of words, in a way that
A team of researchers at University of Bristol has discovered algorithms and analysis which significantly lessen the quantum hardware capability needed to solve problems which go beyond the realm of classical computing, even supercomputers. That
Spain has become surprisingly the European center of quantum research in finance, thanks to its universities, startups and smart innovation teams in local banks. A team at Multiverse Computing and Bankia, a Spanish financial organization
Generating high-quality data (e.g., images or video) is one of the most exciting and challenging frontiers in unsupervised machine learning. Utilizing quantum computers in such tasks to potentially enhance conventional machine learning algorithms has emerged
Amazon Braket now supports PennyLane, an open source software framework for hybrid quantum computing. Pennylane provides interfaces to common machine learning libraries, including PyTorch and TensorFlow. It’s now possible to train quantum circuits in the same
