Items tagged with "quantum computing"
Manucharyan Receives Second Consecutive Google Faculty Research Award
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 Researchers Receive Quantum Award from Google
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.
Hybrid Device among First to Meld Quantum and Conventional Computing
Researchers at the University of Maryland (UMD) have trained a small hybrid quantum computer to reproduce the features in a particular set of images.
Ions clear another hurdle toward scaled-up quantum computing
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.
Ion experiment aces quantum scrambling test
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.
JQI scientists Monroe and Gorshkov are part of a new, $15 million NSF quantum computing project
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.
Complexity test offers new perspective on small quantum computers
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.
Quantum simulators wield control over more than 50 qubits
Two independent teams of scientists, including one from the Joint Quantum Institute, have used more than 50 interacting atomic qubits to mimic magnetic quantum matter, blowing past the complexity of previous demonstrations. The results appear in this week’s issue of Nature.
Atomic cousins team up in early quantum networking node
Large-scale quantum computers, which are an active pursuit of many university labs and tech giants, remain years away. But that hasn’t stopped some scientists from thinking ahead, to a time when quantum computers might be linked together in a network or a single quantum computer might be split up across many interconnected nodes.
Tiny magnetic tremors unlock exotic superconductivity
Deep within solids, individual electrons zip around on a nanoscale highway paved with atoms. For the most part, these electrons avoid one another, kept in separate lanes by their mutual repulsion. But vibrations in the atomic road can blur their lanes and sometimes allow the tiny particles to pair up. The result is smooth and lossless travel, and it’s one way to create superconductivity.