Algorithms that search for a pattern within a larger data-set appear ubiquitously in text and image processing. Pattern matching algorithms are used ubiquitously used in image processing, the study of DNA sequences, and data compression […]
A team of researchers at IBM Research – Zurich, Switzerland, has presented a resource-efficient quantum algorithm for protein folding. Predicting the three-dimensional structure of a protein from its primary sequence of amino acids is known […]
D-Wave Systems has published a milestone study in collaboration with scientists at Google, demonstrating a computational performance advantage, increasing with both simulation size and problem hardness, to over 3 million times that of corresponding classical methods.
A team of researchers at Lawrence Berkeley National Laboratory (Berkeley Lab) used a quantum computer to successfully simulate an aspect of particle collisions that is typically neglected in high-energy physics experiments, such as those that […]
Fault-tolerant quantum computers offer the promise of dramatically improving machine learning through speed-ups in computation or improved model scalability. In the near-term, however, the benefits of Quantum Machine Learning (QML) are not so clear. Understanding […]
CNRS and QC Ware announced today that they have successfully demonstrated that a quantum machine using a new quantum algorithm can verify quantum advantage in seconds, while a classical computer can take thousands of years to perform the same task.
Origin Quantum Computing Technology, a Chinese startup, launched the country’s first homegrown operating system (OS) for quantum computers. The new OS, named Origin Pilot, has been optimized for the resource management and parallel processing capabilities […]
Cambridge Quantum Computing (CQC) today announced the latest version of tket (pronounced “ticket”), its high-performance quantum software development kit (SDK), with all licence restrictions removed for use of tket’s Python module (also known as “pytket”). […]
Faster algorithms for combinatorial optimization could prove transformative for diverse areas such as logistics, finance and machine learning. A team of researchers at Google Research has demonstrated the application of the Google Sycamore superconducting qubit […]
Some interesting article in Medium written by an interdisciplinary team of IBM researchers with partners from Daimler AG and Virginia Tech.
A team of researchers has proposed an efficient method for simultaneously optimizing both the structure and parameter values of quantum circuits with only a small computational overhead.
German Federal Ministry of the Economy has funded the €19m PlanQK project (Platform and Ecosystem for Quantum-Assisted Artificial Intelligence) in Quantum AI.
Researchers at Los Alamos National Laboratory proved a fundamental theorem for Quantum Neural Networks (QNNs), or more generally, for any parameterized quantum circuit (often called an “ansatz”). Parameterized quantum circuits serve as ansätze for solving […]
A team of researchers at University of the Basque Country, Santander Bank and IQM, has presented a digital quantum algorithm to solve Black-Scholes equation on a quantum computer for a wide range of relevant financial parameters by mapping it to the Schrödinger equation
Researchers at University of Melbourne have presented an approach in which problem complexity is transferred to dynamic quantities computed on the quantum processor – Hamiltonian moments, ⟨Hn⟩.
Fermionic Linear Optics (FLO) is a restricted model of quantum computation which in its original form is known to be efficiently classically simulable. A team of researchers showed that, when initialized with suitable input states, […]
A team of researchers at Los Alamos National Laboratory and Google has reviewed the state of the art of Variational Quantum Algorithms (VQAs). Applications such as simulating large quantum systems or solving large-scale linear algebra […]
A team of scientists at Freie Universität Berlin has developed an artificial intelligence (AI) method for calculating the ground state of the Schrödinger equation in quantum chemistry. Up to now, it has been impossible to […]
Solving industry-relevant problems using a quantum algorithm faster than any classical computer is considered the grand challenge of quantum computing. ColdQuanta, a developer of cold atom quantum technology, has joined forces with ParityQC, an Austrian […]
Researchers at Chalmers University of Technology, Sweden, have shown that they can solve a small part of a real aviation logistics problem with their small, but well-functioning quantum computer. All airlines are faced with scheduling […]
Clifford group lies at the core of quantum computation: it underlies quantum error correction, its elements can be used to perform magic state distillation and they form randomized benchmarking protocols, Clifford group is used to […]
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.
Researchers present a quantum eigenstate filtering algorithm to prepare a target eigenstate of a given Hamiltonian.
Convolutional Neural Network (CNN) is a popular model in computer vision and has the advantage of making good use of the correlation information of data. However, CNN is challenging to learn efficiently if the given […]
Chinese researchers have devised a flexible quantum GAN scheme which could accomplish image generation with arbitrarily high-dimensional features, and could also take advantage of quantum superposition to train multiple examples in parallel.