Quantum Technology News
Transistors based on germanium can perform calculations for the future quantum computer. This discovery by the team of Menno Veldhorst may place the transistor at the basis of the quantum revolution. The researchers at QuTech,
The charge and spin of an electron are considered to be inseparably connected. But in a strictly one-dimensional quantum world, both quantum – spin and charge – properties are separable from each other. This fifty-year-old
Physicists at ETH Zurich have observed a surprising twist in a quantum system caused by the interplay between energy dissipation and coherent quantum dynamics. To explain it, they found a concrete analogy to mechanics. The
Researchers at Leibniz University Hannover (LUH) and Physikalisch-Technische Bundesanstalt (PTB) have now developed a new method for ion-trapped qubits under vacuum by using electric fields above a chip structure. Qubit operations are implemented by sending microwave
IBM announced at CES 2020 that its newest 28-qubit quantum computer, Raleigh, achieved the company’s goal of doubling its Quantum Volume (IBM names its systems by city names). Raleigh reached a Quantum Volume of 32
Qunnect LLC, a startup founded in 2017 in NY, USA, announces the closing of $800,000 in Seed Financing. Investors include Quantonation, the Accelerate NY Seed Fund, and private individual investors. Qunnect is developing a suite of devices
Researchers at the University of Chicago and Argonne National Laboratory significantly have used data compression techniques to fit a 61-qubit simulation of Grover’s quantum search algorithm on a large supercomputer with 0.4 percent error. Other quantum algorithms
A researchers team at EPFL, Switzerland, has experimentally verified the link existing between entanglement and the amount of wave-particle duality in a bipartite quantum system, with superconducting qubits in the IBM Q quantum computer. They
The Fermi-Hubbard model is of fundamental importance in condensed-matter physics, yet is extremely challenging to solve numerically. Finding the ground state of the Hubbard model using variational methods has been predicted to be one of
More computational resources (i.e., more physical qubits and qubit connections) on a superconducting quantum processor not only improve the performance but also result in more complex chip architecture with lower yield rate. Optimizing both of
