Quantum Search Grover Algorithm at CERN

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 […]

Hybrid quantum-classical scheme for prime factorization

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, […]

Data-driven quantum error mitigation

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 […]

Reinforcement Learning with Quantum Variational Circuits

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 […]

QuAlg: A symbolic algebra Quantum Computing package

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 […]

New Qiskit Chemistry Module

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. […]

Quantum systems and Quantum simulations

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 […]

Automating the construction of Quantum Machine Learning models

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 […]

BEIT: Quantum Unstructured Search on Honeywell System H0

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, […]

Machine Learning for Quantum Chemistry

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. […]

Quantum simulation beyond the coherence time

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 […]

Demonstration of quantum advantage for NP verification

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 […]