Research conducted by Princeton University physicists is paving the way for the use of silicon-based technologies in quantum computing, especially as quantum bits – the basic units of quantum computers.
IonQ, Inc. (“IonQ”) (NYSE: IONQ), a leader in quantum computing, today announced that it plans to use barium ions as qubits in its systems, bringing about a wave of advantages it believes will enable advanced quantum computing architectures. IonQ is the first quantum computing company able to harness more than one atomic species as qubits, having built its systems to date with ytterbium ions. Now, IonQ plans to use barium ions to build systems that are designed to be faster, more powerful, more easily interconnected, and that feature more uptime for customers.
Wright Lab assistant professor David Moore, along with three colleagues from other institutions, recently proposed a novel idea of using trapped electrons and ions—technologies that are being developed as qubits for quantum computation—as ultra-sensitive particle detectors that may be able to enhance the search for the nature of dark matter, neutrinos, new forces, and more.Trapped charged particles, such as ions or electrons, are among the most studied systems for developing quantum computers (in parallel with superconducting qubits, which are under development at the Yale Quantum Institute).
ColdQuanta, the leader in Cold Atom Quantum Technology, today announced the company has embarked on its first project under the newly branded Quantum Research as a Service (QRaaS) Division to build a Custom Ion Trap System for Oak Ridge National Labs (ORNL). The QRaaS division sits alongside the company’s Quantum Computing and Cold Atom Technology groups, and is dedicated to discovering breakthrough technology in support of government and enterprises. The Oak Ridge system will apply thoughtful engineering to create a high performance and modular system that enables rapid testing of cryogenic electronics, ion trap architectures, and system integration strategies. The cryogenic ion trapping system combines the modular design and systems engineering that ColdQuanta has demonstrated in several of its products to produce a reliable system that is tailored to the customer’s needs for testing and prototyping ion trap hardware.
Researchers from The University of Maryland and IonQ, Inc. (“IonQ”) (NYSE: IONQ), a leader in trapped-ion quantum computing, on Monday published results in the journal Nature that show a significant breakthrough in error correction technology for quantum computers. In collaboration with scientists from Duke University and the Georgia Institute of Technology, this work demonstrates for the first time how quantum computers can overcome quantum computing errors, a key technical obstacle to large-scale use cases like financial market prediction or drug discovery.
Quantum computers are advancing at a rapid pace and are already starting to push the limits of the world’s largest supercomputers. Yet, these devices are extremely sensitive to external influences and thus prone to errors which can change the result of the computation. This is particularly challenging for quantum computations that are beyond the reach of our trusted classical computers, where we can no longer independently verify the results through simulation. “In order to take full advantage of future quantum computers for critical calculations we need a way to ensure the output is correct, even if we cannot perform the calculation in question by other means,” says Chiara Greganti from the University of Vienna.
IonQ, Inc. (“IonQ”), the leader in quantum computing, August 25, 2021, unveiled the industry’s first Reconfigurable Multicore Quantum Architecture (RMQA) technology, a breakthrough in quantum computing. Starting with the demonstration of 4 chains of 16 ions each that can be dynamically configured into quantum computing cores, IonQ believes it has laid the foundation for increases to qubit count into the triple digits on a single chip, as well as future Parallel Multicore Quantum Processing Units.
IonQ, Inc. (“IonQ”), the leader in quantum computing, August 25, 2021, unveiled the industry’s first Reconfigurable Multicore Quantum Architecture (RMQA) technology, a breakthrough in quantum computing. Starting with the demonstration of 4 chains of 16 ions each that can be dynamically configured into quantum computing cores, IonQ believes it has laid the foundation for increases to qubit count into the triple digits on a single chip, as well as future Parallel Multicore Quantum Processing Units.
Physicists at the National Institute of Standards and Technology (NIST) have linked together, or “entangled,” the mechanical motion and electronic properties of a tiny blue crystal, giving it a quantum edge in measuring electric fields with record sensitivity that may enhance understanding of the universe.
Quantum computer based on shuttling ions is built by Honeywell Read More… + A quantum charged coupled device – a type of trapped-ion quantum computer
