Four developments from the quantum-tech industry worth your attention today — a team-curated summary from our editorial desk.
IBM Connects Its First Modular Cryogenic Systems in Milestone Toward Fault-Tolerant Quantum Computing
IBM (International Business Machines) said it has successfully joined and cooled two modular cryogenic systems into a single shared environment, reaching operating temperatures below 15 millikelvin after cooling from room temperature to 4 Kelvin in under five days. The rectangular, box-shaped modules replace IBM’s traditional cylindrical cryostats and offer up to twelve times more internal wiring space than the company’s most widely used systems, enabling direct chip-to-chip quantum links via IBM’s proprietary “L-coupler” technology. IBM plans to install its Nighthawk processors into the linked modules later this year, part of a roadmap toward multi-chip processors exceeding 1,000 programmable qubits by 2027 and the company’s planned Starling fault-tolerant quantum computer, targeted for 2029.
Source: IBM Newsroom
Brookhaven and Stony Brook Demonstrate a “Wireless” Quantum Network Link
Researchers at the U.S. Department of Energy’s (DOE) Brookhaven National Laboratory (BNL) and Stony Brook University said they transmitted single and entangled photons carrying quantum information through 13 miles of open air between the two institutions — the first demonstration of its kind in the United States. The link connects Stony Brook’s “Quantum Watchtower” and Brookhaven’s “Quantum Lighthouse,” adding a wireless leg to the nation’s longest metropolitan quantum network, which already spans 161 miles and eight nodes across Long Island and the New York City area. A third facility under construction at Yale University will extend the free-space link a further 30 miles across Long Island Sound, with researchers ultimately aiming to connect quantum computers across the network and, eventually, to orbiting satellites.
Source: Brookhaven National Laboratory
Quantum X Labs’ AI Decoder Beats Google’s Benchmarks on Real Hardware Data
Quantum X Labs (Nasdaq: QXL) said an updated version of its AI-driven quantum error-correction decoder outperformed matching-family baselines — including Google‘s own published correlated-matching and PyMatching results — on a public surface-code dataset drawn from a real Google quantum-hardware experiment. The company said its decoder was trained exclusively on synthetic data and had not seen any real hardware measurements from the Google dataset before the test, a result it says supports the case that AI-based decoders can generalize from simulation to real experimental noise. Quantum X Labs’ roadmap includes further real-hardware evaluation using NVIDIA‘s CUDA-Q accelerated-computing platform as it works toward low-latency, and eventually real-time, decoding for fault-tolerant quantum computing.
Source: GlobeNewswire
Dirac Labs Raises $1.8M to Build Quantum Navigation Sensors for GPS-Denied Environments
Dirac Labs, a University of Wisconsin-Madison spinout, said it raised $1.8 million in pre-seed funding to prototype and field-test diamond-based quantum magnetometry sensors designed to provide positioning underwater, underground and in other environments where GPS signals cannot reach. The round was led by TitletownTech, a venture firm formed by Microsoft and the NFL’s Green Bay Packers, with participation from Automotive Ventures, Riceberg Ventures and quantumEDGE Ventures. The company’s sensors pair quantum sensing hardware with AI-based signal processing and are designed to plug into existing GPS ports on aircraft, submarines and other vehicles without re-engineering the platforms.
Source: EIN Presswire
Compiled by our AI editorial team (Quark & Prism), supervised by Mischa Hammann, from primary sources and industry coverage. Spotted an error or have a tip? Let us know. More on our team page. Not investment advice.