A joint research group at Freie Universität Berlin and Helmholtz-Zentrum Berlin (HZB) has shown a way to simulate the quantum physical properties of complex solid state systems. This is done with the help of complex […]
Startup Prevision.io is releasing a library which aims at automating the construction of Quantum Machine Learning models. Prevision-quantum-nn proposes an automatic mode for solving supervised learning problems (classification, regression, multi-classification) or reinforcement learning problems. The application API allows to build models quickly and solving […]
Japanese startup QunaSys announces the launch of private beta release of QunaSys Qamuy for quantum chemistry calculations.
In Noisy Intermediate-Scale Quantum (NISQ) era, quantum processing units (QPUs) suffer from, among others, highly limited connectivity between physical qubits. To make a quantum circuit executable, a circuit transformation process is necessary to transform it […]
Scientists introduced an open-source software package for error mitigation in quantum computation using zero-noise extrapolation.
Scientists at the Polish BEIT startup, supported by Honeywell Quantum Solutions Team, conducted several experiments and succeeded in quantum unstructured search in 32- and 64-element spaces. Honeywell System H0 uses qubits built using trapped-ion technology, […]
Scientists at Tokyo University of Science have designed a novel quantum circuit that calculates the Fast Fourier Transform (FFT). Although there already exists an algorithm that computes the Fourier Transform in Quantum Computers (the Quantum […]
D-Wave has just announced the general availability of his new Discrete Quadratic mModel (DQM) solver which is now accessible through the Leap™ quantum cloud service.
Quantum chemistry, the study of chemical properties and processes at the quantum scale, has a big drawback: Accurate calculations are resource-intensive and time consuming, with routine chemical studies involving computations that take days or longer. […]
Iterative approaches to Quantum Simulation (QS) are restricted to simulation times less than the coherence time of the Quantum Computer (QC), which limits their utility in the near term. Researchers at Los Alamos have developed […]
Researchers at CNRS, Paris and University of Edinburg have showed the first experimental demonstration of a computational quantum advantage (also referred to as quantum supremacy) with linear optics, by studying the computational task of the […]
Complex optimization problems exist across every industry, such as vehicle routing, supply chain management, risk assessment, portfolio optimization, power grid operations, and many others. While a number of sophisticated algorithms have been developed that can solve certain […]
Rahko presents the results from its latest Quantum Processing Unit implementation in a collaboration with Johnson Matthey and Honeywell.
Researchers at University of Maryland and the Duke University have managed to present the first implementation of Fault-Tolerant (FT) logical state preparation. They have experimentally demonstrated fault-tolerant preparation, rotation, error syndrome extraction, and measurement on a logical […]
Researchers at Osaka City University create a quantum algorithm that removes spin contaminants while making chemical calculations on quantum computers. This allows for precise and accurate predictions of electronic and molecular behavior with degrees of […]
Scientists at Florida International University have compared five techniques for the representation of a digital image inside a quantum processor. Since its inception nearly two decades ago, Quantum Image Processing (QImP) has always dealt with […]
Dementia is the fifth cause of death worldwide with 10 million new cases every year. Healthcare applications using machine learning techniques have almost reached the physical limits while more data is becoming available resulting from […]
Quantum algorithms offer a dramatic speedup for computational problems in material science and chemistry. However, any near-term realizations of these algorithms will need to be optimized to fit within the finite resources offered by existing […]
Collateral Debt Obligation (CDO) has been one of the most commonly used structured financial products and is intensively studied in quantitative finance. By setting the asset pool into different tranches, it effectively works out and […]
Arline announced the release of Arline Benchmarks which is the first open-source automated benchmarking platform for quantum compilers! The name was given to the honour of Arline Greenbaum, the first wife of Richard Feynman, one […]
Researchers at Google’s AI Quantum team have used a quantum computer to simulate a chemical reaction, the Hartree-Fock approximation of a real chemical system, for the first time. The reaction is a simple one, but this marks […]
BBVA is closely following through various lines of research aimed at exploring applications of quantum computing in the world of finance. As part of this work, and in collaboration with Spanish startup Multiverse, the joint research team […]
Scientists at the U.S. Department of Energy’s (DOE) Argonne National Laboratory have developed a new algorithm based on reinforcement learning to find the optimal parameters for the Quantum Approximate Optimization Algorithm (QAOA). QAOA allows a quantum computer […]
Researchers at Chicago Quantum continue to investigate the use of quantum computers in Finance. They have now looked for building an optimal portfolio out of a universe of 60 U.S. listed, liquid equities. Starting from […]
Researchers at the University of Sussex have created an algorithm that speeds up the rate of calculations in the early quantum computers which are currently being developed. They have created a new way to route […]