In the 1950s, computers were bulky, inefficient and limited. They ate up entire rooms but couldn’t go beyond rudimentary calculations. Click to rate this post! [Total: 0 Average: 0]You have already voted for this article
When it comes to understanding the shape of bubble clusters, mathematicians have been playing catch-up to our physical intuitions for millennia. Soap bubble clusters in nature often seem to immediately snap into the lowest-energy state, […]
Entangled systems containing multiple quantum particles offer significant benefits in implementing quantum algorithms, which have the potential to be used in communications, data security or quantum computing. Researchers have been working to develop the first […]
Photons, particles that represent a quantum of light, have shown great potential for the development of new quantum technologies. More specifically, physicists have been exploring the possibility of creating photonic qubits (quantum units of information) […]
Achieving scalability in quantum processors, sensors, and networks requires novel devices that are easily manipulated between two quantum states. A team led by researchers from the Department of Energy’s Lawrence Berkeley National Laboratory (Berkeley Lab) […]
Historically, contact electrification (CE) was humanity’s first and only source of electricity up until around the 18th century, yet its true nature is still elusive. Today it is considered a core component of technologies such […]
Quantum 6, 831 (2022). https://doi.org/10.22331/q-2022-10-06-831 We study bosonic quantum computations using the Segal-Bargmann representation of quantum states. We argue that this holomorphic representation is a natural one which not only gives a canonical description of […]
The Department of Computer Science, University of Oxford, is currently advertising four faculty positions, including one in the area of quantum computer science. The closing date for applications is noon, 14th December 2022. For more […]
Quantum 6, 830 (2022). https://doi.org/10.22331/q-2022-10-06-830 Quantum phase estimation is a cornerstone in quantum algorithm design, allowing for the inference of eigenvalues of exponentially-large sparse matrices.The maximum rate at which these eigenvalues may be learned, –known […]
Quantum 6, 829 (2022). https://doi.org/10.22331/q-2022-10-06-829 Quantum computing is believed to be particularly useful for the simulation of chemistry and materials, among the various applications. In recent years, there have been significant advancements in the development […]
Recent Comments