Items tagged with "quantum computing"
One of the chief obstacles facing quantum computer designers—correcting the errors that creep into a processor’s calculations—could be overcome with a new approach proposed by physicists from JQI and the California Institute of Technology. The team, who are all affiliated with the National Institute of Standards and Technology, may have found a way to design quantum memory switches that will self-correct.
The Department of Energy (DOE) has awarded $115 million over five years to the Quantum Systems Accelerator (QSA), a new research center led by Lawrence Berkeley National Laboratory (Berkeley Lab) that will forge the technological solutions needed to harness quantum information science for discoveries that benefit the world. It will also energize the nation’s research community to ensure U.S. leadership in quantum R&D and accelerate the transfer of quantum technologies from the lab to the marketplace. Sandia National Laboratories is the lead partner of the center.
JQI Fellow Vladimir Manucharyan has received a 2019 Google Faculty Research Award. It is the second consecutive year that Manucharyan, who is also an Associate Professor of Physics at UMD, has earned the honor.
This year’s award will continue to support research by Manucharyan and his team into quantum computing hardware based on superconducting circuits. They are pursuing the development of special quantum bits—called fluxonium qubits—for use in a new generation of computers.
JQI Fellow Mohammad Hafezi and JQI Graduate Researchers Alireza Seif and Hwanmun Kim have received an award from Google to support research identifying and developing problems that simple quantum computers might help solve. The work could bridge the divide between demonstrating quantum supremacy, as Google claimed to do in October, and building practical quantum computers that can run established algorithms.
Researchers at the University of Maryland (UMD) have trained a small hybrid quantum computer to reproduce the features in a particular set of images.
Scientists at the Joint Quantum Institute (JQI) have been steadily improving the performance of ion trap systems, a leading platform for future quantum computers. Now, a team of researchers led by JQI Fellows Norbert Linke and Christopher Monroe has performed a key experiment on five ion-based quantum bits, or qubits. They used laser pulses to simultaneously create quantum connections between different pairs of qubits—the first time these kinds of parallel operations have been executed in an ion trap.
Researchers at the Joint Quantum Institute have implemented an experimental test for quantum scrambling, a chaotic shuffling of the information stored among a collection of quantum particles. Their experiments on a group of seven atomic ions, reported in the March 7 issue of Nature, demonstrate a new way to distinguish between scrambling—which maintains the amount of information in a quantum system but mixes it up—and true information loss.
NSF has announced a $15 million award to a collaboration of seven institutions including the University of Maryland. The goal: Build the world’s first practical quantum computer.
State-of-the-art quantum devices are not yet large enough to be called full-scale computers. The biggest comprise just a few dozen qubits—a meager count compared to the billions of bits in an ordinary computer’s memory. But steady progress means that these machines now routinely string together 10 or 20 qubits and may soon hold sway over 100 or more.