Microsoft’s new 4D geometric codes transform quantum computing by cutting error rates 1,000-fold. Paired with Atom Computing’s neutral-atom qubits, they enable reliable logical qubits. Such advancements could support applications in AI and cryptography.
QMill’s quantum algorithm significantly outpaces classical supercomputers, providing rapid solutions to practical problems. The company’s technology verifies quantum computers in cloud environments, ensuring reliability and accuracy. Supported by strategic investments, QMill is positioned to drive quantum computing forward, offering immediate industrial value.
A new quantum AI consortium in Hamburg targets large-scale data processing, starting with massive image outputs from CERN’s particle accelerator. ParityQC, DESY, eleQtron, and DLR QCI each contribute specialized skills to develop hardware and algorithms. The HQML project aims for faster insights in fields ranging from physics to medical imaging and environmental science.
MicroAlgo Inc. presents a new arithmetic method in quantum gate computing. The design uses CPU registers to handle qubits for addition tasks. This approach draws on the Bernstein-Vazirani algorithm for more efficient operations.
Alice & Bob has announced Felis 1.0, a toolbox featuring the first-ever logical qubit emulator. Felis helps users to prepare for practical quantum computing by facilitating the transition from NISQ devices to fault-tolerant algorithms. Built on top of Qiskit, Felis adds cat-qubit-specific capabilities for algorithm development and experimentation.
QuEra launches a quantum co-design program for tailored solutions in quantum computing. The initiative spans hardware, algorithms, and simulations to optimize capabilities. Participants gain early access to advanced quantum technology.
Alice & Bob has launched Dynamiqs, a powerful quantum simulation library. It uses NVIDIA GPUs to accelerate complex simulations by up to 60 times. This open-source tool supports advancements in quantum research and development.
Aqarios has launched Luna, a quantum platform enabling businesses to solve complex problems without needing quantum expertise. Luna offers pre-built optimization scenarios, access to various quantum backends, and integration with leading quantum solutions like Amazon Braket and Q-CTRL Fire Opal.
University of Sydney researchers have designed a new quantum error correction framework that reduces qubit requirements, making way for more efficient quantum computing and compact memory systems.