IonQ Reaches Important Milestone in Achieving Faster Quantum Gates for Quantum Computing and Networking
IonQ Reaches Important Milestone in Achieving Faster Quantum Gates for Quantum Computing and Networking
IonQ, a leader in the quantum computing and networking industries, today announced a significant milestone in the development of high-speed, mixed-species quantum logic gates for trapped-ion quantum computing and networking. The findings further the company’s momentum in driving scalable, high-fidelity quantum networking and distributed quantum computing. Detailed in a new paper written by IonQ scientists and co-authored with Australian National University, the research shows a novel approach to achieving an orders-of-magnitude increase in physical gate speed of two-qubit gates between different atomic species.
Gravity From Entropy: A Radical New Approach to Unifying Quantum Mechanics and General Relativity
Gravity From Entropy: A Radical New Approach to Unifying Quantum Mechanics and General Relativity
In a new study published in Physical Review D, Professor Ginestra Bianconi, Professor of Applied Mathematics at Queen Mary University of London, proposes a groundbreaking new framework that could revolutionise our understanding of gravity and its relationship with quantum mechanics.
AI and Adaptive Optics Propel Free-Space Quantum Communication Into a New Era
AI and Adaptive Optics Propel Free-Space Quantum Communication Into a New Era
In the quest for ultra-secure, long-range quantum communication, two major challenges stand in the way: the unpredictable nature of atmospheric turbulence and the limitations of current optical wavefront correction techniques. Researchers at the University of Ottawa, under the supervision of Professor Ebrahim Karimi, the director of Nexus for Quantum Technologies, in collaboration with the National Research Council Canada (NRC) and the Max Planck Institute for the Science of Light (Germany), have made significant advances in overcoming both obstacles. Their two latest breakthroughs—an AI-powered turbulence forecasting tool called TAROQQO and a high-speed Adaptive Optics (AO) system for correcting turbulence in quantum channels—represent a turning point in developing free-space quantum networks.
QSA Quantum Technologies Advance Insights Into Materials Physics
QSA Quantum Technologies Advance Insights Into Materials Physics
New quantum technologies developed by the Quantum Systems Accelerator (QSA) are driving novel scientific discoveries in physics, giving scientists advanced tools to explore complex behaviors of interacting quantum particles and the physical properties of materials. QSA, a National Quantum Information Science Research Center led by Lawrence Berkeley National Laboratory (Berkeley Lab) and funded by the U.S. Department of Energy, conducts research that fuels the development of quantum-enabled materials and technologies, leveraging quantum information science to accelerate the discovery and design of advanced materials for energy applications. QSA scientists from 15 different institutions are collaborating to advance materials physics and build the future of fundamental scientific discovery as the scientific community builds on powerful classical computers and enters the quantum realm for processing information better and faster.
IonQ Commissions Ground-Breaking Quantum System at the U.S. Air Force Research Lab
IonQ Commissions Ground-Breaking Quantum System at the U.S. Air Force Research Lab
IonQ, a leader in the quantum computing and networking industries, announced today that it has delivered and commissioned a quantum networking system optimized for research and development to the U.S. Air Force Research Laboratory (AFRL) in Rome, New York.
Menno Veldhorst Receives an NWO Vici Grant for Connecting Quantum Dots in Three Dimensions
Menno Veldhorst Receives an NWO Vici Grant for Connecting Quantum Dots in Three Dimensions
Today the Dutch Research Council NWO announced that Menno Veldhorst will receive a Vici grant. The grant is aimed at researchers with academic qualities that clearly exceed what is customary and demonstrate the development of leadership and mentorship skills.
With $2M in Grants, U of A Engineers Push Toward a Quantum Computing Future
With $2M in Grants, U of A Engineers Push Toward a Quantum Computing Future
University of Arizona College of Engineering researchers Christos Gagatsos and Bane Vasic received two grants from the federal government to advance novel areas in quantum information. Gagatsos was awarded $1.4 million from the U.S. Army Research Office to investigate the application of quantum error correction in magnetic field sensing, and Vasic was awarded $600,000 from the National Science Foundation to stabilize quantum computing with error correction codes.
Journey of NQM's Quantum Sensing and Metrology Hub with lab grown technologies at IIT Bombay
Journey of NQM's Quantum Sensing and Metrology Hub with lab grown technologies at IIT Bombay
The Photonics and Quantum Sensing Technology Lab at IIT Bombay is ready with some technologies that can give the newly initiated Quantum Sensing and Metrology Hub a kick start into the world of quantum technologies.
Multiplexing Entanglement in a Quantum Network
Multiplexing Entanglement in a Quantum Network
Laying the groundwork for quantum communication systems of the future, engineers at Caltech have demonstrated the successful operation of a quantum network of two nodes, each containing multiple quantum bits, or qubits—the fundamental information-storing building blocks of quantum computers.
New Ocelot Chip Makes Strides in Quantum Computing
New Ocelot Chip Makes Strides in Quantum Computing
Reporting in the February 26 issue of the journal Nature, a team of scientists from AWS and Caltech demonstrate a new quantum chip architecture for suppressing errors using a type of qubit known as a cat qubit. Cat qubits were first proposed in 2001, and, since then, researchers have developed and refined them. Now, the AWS team has put together the first scalable cat qubit chip that can be used to efficiently reduce quantum errors.