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 […]
Researchers at IBM T. J. Watson Research Center discovered unexpectedly a new mathematical proof of quantum advantage – the elusive threshold at which quantum computers outperform classical machines in certain use cases. They study shows […]
Computer scientists at UCLA have shown that existing compilers, which tell quantum computers how to use their circuits to execute quantum programs, inhibit the computers’ ability to achieve optimal performance. Specifically, their research has revealed […]
Boltzmann machine is a powerful tool for modeling probability distributions that govern the training data. A thermal equilibrium state is typically used for Boltzmann machine learning to obtain a suitable probability distribution. The Boltzmann machine […]
Variational quantum eigensolver (VQE) emerged as a first practical algorithm for near-term quantum computers. Its success largely relies on the chosen variational ansatz, corresponding to a quantum circuit that prepares an approximate ground state of […]
Researchers at University of Sydney Nano Institute have developed the first system-wide quantum algorithm to characterize noise. Noise is the main obstacle to building large-scale quantum computers. To tame the noise (interference or instability), scientists […]
Many methods solve Poisson equations by using grid techniques which discretize the problem in each dimension. Most of these algorithms are subject to the curse of dimensionality, so that they need exponential runtime. Researchers at […]
The quantum computation of electronic energies can break the curse of dimensionality that plagues many-particle quantum mechanics. It is for this reason that a universal quantum computer has the potential to fundamentally change computational chemistry […]
Elyah has recently released its online circuit tool to program quantum computers. It comes built-in with a fast in-browser simulator, and a few more perks, like having the option to print your circuits. The tool, Qubit […]
A team of researchers affiliated with several institutions in China has developed a form of the board game Go using entanglement. The researchers created a version of quantum Go using entangled photons and found that […]
Researchers at University of Cambridge have presented an interesting paper regarding the usage of Reinforcement Learning to perform Qubit routing in Quantum compilers. Qubit routing refers to the task of modifying quantum circuits so that […]
A team from JPMorgan Chase, IBM Research Zurich and ETH Zurich presents a methodology to price options and portfolios of options on a gate-based quantum computer using amplitude estimation, an algorithm which provides a quadratic […]
Skoltech scientists have shown that quantum enhanced machine learning can be used on quantum (as opposed to classical) data, overcoming a significant slowdown common to these applications and opening a “fertile ground to develop computational […]
Various methods have been developed for the quantum computation of the ground and excited states of physical and chemical systems, but many of them require either large numbers of ancilla qubits or high-dimensional optimization in […]
Researchers have presented a quantum algorithm for solving the Navier–Stokes equations. There is great interest in using quantum computers to efficiently simulate a quantum system’s dynamics as existing classical computers cannot do this. Little attention, […]
Researchers at the University of Virginia School of Medicine are tapping into the potential of quantum computers to understand genetic diseases. The team developed and implemented a genetic sample classification algorithm, a Hamming distance-like, that […]
QC Ware, a startup in software and services for quantum computing, announced a significant breakthrough in quantum machine learning (QML) that increases QML accuracy and speeds up the industry timeline for practical QML applications on […]
A new machine learning framework could pave the way for small, mobile quantum networks. Researchers from the U.S. Army Combat Capabilities Development Command’s Army Research Laboratory and Tulane University combined machine learning with Quantum Information Science […]
Atos announces the development of a new Quantum Annealing Simulator via its existing Atos Quantum Learning Machine offering (Atos QLM).
The research team from the Korea Advanced Institute of Science and Technology (KAIST) have introduced a new method for machine-learning classifications in quantum computing. They proposed a quantum classifier based on quantum state fidelity by […]
Researchers at Chicago Quantum investigated the use of quantum computers for building a portfolio out of a universe of U.S. listed, liquid equities that contains an optimal set of stocks. Starting from historical market data, […]
Atos extends its portfolio of quantum solutions with Atos QLM Enhanced (Atos QLM E), a new GPU-accelerated range of its Atos Quantum Learning Machine (Atos QLM) product line. Offering up to 12 times more computation speed, Atos QLM E paves the […]
Researchers have presented a completely new approach to quantum circuit optimisation, based on the ZX-calculus. Looking at quantum circuits just as lists of gates doesn’t tell a whole lot about what computation is being performed, […]
Quantum Machines, a startup that is building a software and hardware stack for controlling and operating quantum computers, announced the launch of QUA, a new language that it calls the first “standard universal language for […]