A full quantum eigensolver for quantum chemistry simulations

Quantum simulation of quantum chemistry is one of the most compelling applications of quantum computing. It is of particular importance in areas ranging from materials science, biochemistry, and condensed matter physics. A team of researchers […]

Google announces TensorFlow Quantum

Google, in collaboration with the University of Waterloo, X, and Volkswagen, announces the release of TensorFlow Quantum (TFQ), an open-source library for the rapid prototyping of quantum ML models. TFQ provides the tools necessary for bringing the quantum computing and […]

Solving Vehicle Routing Problem using QAOA algorithm

An Indian scientists team has published a paper describing the usage of Quantum Approximate Optimization Algorithm (QAOA), which is a quantum-classical heuristic, to solve a combinatorial optimization and integer programming task known as Vehicle Routing […]

Scientists break Google’s QAOA quantum algorithm

A team of scientists from Skoltech‘s Deep Quantum Laboratory discovered and quantified what appears to be a fundamental limitation in the QAOA quantum algorithm initiated by Google. Google has devised new quantum-enhanced algorithms that operate […]

Simulating quantum chemistry on a qubit-based device

Accurate quantum chemistry simulations remain challenging on classical computers for problems of industrially relevant sizes and there is reason for hope that quantum computing may help push the boundaries of what is technically feasible. While […]

Quantum computing with exciton-polariton condensates

Researchers at Nanyang Technological University, Singapore, have presented a complete theoretical scheme of quantum computing with exciton-polariton condensates formed in semiconductor micropillars. Exciton-polariton condensates have attractive features for quantum computation, e.g., room temperature operation, high […]

Quantum embeddings for machine learning

A team of scientists at MIT and Xanadu has published a paper about quantum classifiers as trainable quantum circuits used as machine learning models. The first part of the circuit implements a quantum feature map […]

Leveraging Quantum Annealing for Large MIMO Processing

User demand for increasing amounts of wireless capacity continues to outpace supply, and so to meet this demand, significant progress has been made in new MIMO wireless physical layer techniques. Higher-performance systems now remain impractical […]

AI method determines quantum advantage

Researchers need tools for predicting whether a given quantum device will have a quantum advantage and actually operates faster than a conventional computer. One of the ways to implement quantum computations is quantum walks. The […]

Intel Quantum Simulator

Intel has just introduced the latest release of the Intel Quantum Simulator (IQS), formerly known as qHiPSTER. Classical simulation of quantum computers will continue to play an essential role in the progress of quantum information […]