Nvidia has just announced at their GTC event about the performance of quantum simulators using the DGX A100 and its own custom-cooked quantum development software stack, called cuQuantum. The thing is, most of the quantum […]
University of Sydney science undergraduate Pablo Bonilla Ataides has tweaked some computing code to effectively double its capacity to correct errors in the quantum computers. This homework has attracted the attention of quantum computing programmers at Amazon […]
Cambridge Quantum Computing (CQC) and CERN have posted an article on Arxiv proposing the dual-Parameterized Quantum Circuit (PQC) Generative Adversarial Network (GAN) for generative modelling applications in High-Energy Physics (specifically for generating typical calorimeter images). […]
Using the D-Wave hybrid solver service, Multiverse Computing developed an algorithmic approach to rapidly generate portfolios that can be optimized against a variety of constraints. Every investment entails some measure of risk—the fundamental question is whether the reward […]
Benchmarking of Quantum Computing devices is necessary to measure their performance, and to guide their use and future development. As Quantum Computing systems become more complex, they need to be benchmarked in terms of practical […]
Many machine learning algorithms on quantum computers suffer from the dreaded “barren plateau” of unsolvability, where they run into dead ends on optimization problems. Researchers at Los Alamos National Laboratory have established theorems that guarantee […]
A team of researchers at IBM Quantum and ETH, Switzerland, has introduced a variant of Quantum Amplitude Estimation (QAE), called Iterative QAE (IQAE), which does not rely on Quantum Phase Estimation (QPE) but is only based on Grover’s Algorithm, which reduces […]
A team of researchers at Osaka City University has developed a quantum algorithm they called Bayesian eXchange coupling parameter calculator with Broken-symmetry wave functions (BxB), that predicts the electronic states of atoms and molecules by […]
Researchers at Florida State University found a way to automatically infer parameters used in an important quantum Boltzmann machine algorithm for machine learning applications. The work could help build artificial neural networks that could be used […]
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.
Platforms of Rydberg atoms have been proposed as promising candidates to solve some combinatorial NP-hard optimization problems. A team of scientists at Atos Quantum Lab has computed quantitative requirements on the system sizes and noise […]
Researchers at University of Exeter have proposed a quantum algorithm to solve systems of nonlinear differential equations. Using a quantum feature map encoding, they have defined functions as expectation values of parametrized quantum circuits. They […]
AlgoDynamix which operates from Barclays Eagle Labs in Cambridge, UK, has unveiled a new cloud-based service using technology provided by D-Wave Systems and says it is a world first in behavioural forecasting for financial analytics. […]
Microsoft proposes Quantum Intermediate Representation (QIR) to bridge different languages and target quantum computation platforms.
Scientists have demonstrated a novel method for applying the quantum Grover Algorithm (GA) – to search for rare events in proton-proton collisions at 13 TeV collision energy using CERN’s Large Hadron Collider. The search is […]
Researchers have reported a quantum-classical hybrid scheme for factorization of bi-prime numbers (which are odd and square-free) using IBM’s quantum processors. The hybrid scheme has involved both classical optimization techniques and adiabatic quantum optimization techniques, […]
Researchers at University of Chicago announced they were able to turn IBM’s largest quantum computer into a quantum material itself. They programmed the computer such that it turned into a type of quantum material called […]
Achieving near-term quantum advantage will require effective methods for mitigating hardware noise. One approach is to optimize quantum circuits using compiling and machine learning, while another employs variational quantum algorithms to reduce circuit depth and […]
Researchers at IBM Research and Mercedez–Benz Research have demonstrated quantum simulations of electronic structure with a transformed Hamiltonian that includes some electron correlation effects. The transcorrelated Hamiltonian used in this work is efficiently constructed classically, […]
Researchers at Rensselaer Polytechnic Institute have explored the potential for Quantum Computing to facilitate Reinforcement Learning (RL) problems. Deep RL has accelerated at astounding speed in the last decade. Achieving superhuman performance in massively complex […]
Researcher at QuTech proposes QuAlg, an open-source symbolic algebra package for Quantum Computing. There are many packages and tools for representing and simulating quantum states and operations, such as nesquid, qutip or Qiskit. Most of […]
Quantum computers can exploit a Hilbert space whose dimension increases exponentially with the number of qubits. In experiment, quantum supremacy has recently been achieved by the Google team by using a noisy intermediate-scale quantum (NISQ) […]
IBM has just announced a complete overhaul of its Qiskit Chemistry module, plus the new Qiskit Gradients framework, meant both for quantum application developers as well as domain experts with basic knowledge of quantum computing. […]