Researchers at Columbia Engineering and Montana State University have reported that they have found that placing sufficient strain in a 2-D material—tungsten diselenide (WSe2)—creates localized states that can yield single-photon emitters. Using sophisticated optical microscopy
Researchers at MIT have designed a quantum light squeezer that reduces quantum noise in an incoming laser beam by 15 percent. It is the first system of its kind to work at room temperature, making it amenable
Distributed quantum information processing is based on the transmission of quantum data over lossy channels between quantum processing nodes. These nodes may be separated by a few microns or on planetary scale distances, but transmission
ITMO University researchers have developed a Quantum Key Distribution (QKD) system with coherent detection based on subcarrier wave quantum key distribution protocol. This is a continuous-variable quantum key distribution protocol using multimode coherent states generated
A new machine learning framework could pave the way for small, mobile quantum networks. Researchers from the U.S. Army Combat Capabilities Development Command’s Army Research Laboratory and Tulane University combined machine learning with Quantum Information Science
PQShield, a UK post-quantum cryptography startup, today comes out of stealth mode with the announcement of a £5.5m seed funding raise, and news that it has won Bosch as its first customer. Originating from the
Researchers at MIT have developed a process to manufacture and integrate “artificial atoms,” created by atomic-scale defects in microscopically thin slices of diamond, with photonics circuitry, producing the largest quantum chip of its type. The
Atos announces the development of a new Quantum Annealing Simulator, thus becoming the world’s first company to provide powerful simulation solutions to explore the two main technological paths of quantum computing: quantum annealing, via its
The research team from the Korea Advanced Institute of Science and Technology (KAIST) have introduced a new method for machine-learning classifications in quantum computing. They proposed a quantum classifier based on quantum state fidelity by
![Scanning electron micrograph of the HOA-2 trap designed and fabricated at Sandia National Laboratories. Figure adapted with permission from [18]. A single trap houses all the ions. Control electrodes are used to load, remove and move ions. This architecture does not scale beyond 50-100 qubits because of gate implementation challenges in long ion chains.](https://swissquantumhub.com/wp-content/uploads/2020/07/Trapped-Ion-technology-Princeton.png)
Researchers at Princeton University and Duke University collaborated to develop methods to design the next generation of quantum computers. Their study focused on QC systems built using Trapped-Ions (TI) technology, which is one of the
