Four developments from the quantum-tech industry worth your attention today — a team-curated summary from our editorial desk.
U.S. Treasury Proposes Broader Curbs on Quantum Investments in Countries of Concern
The U.S. Department of the Treasury issued a notice of proposed rulemaking (NPRM) on October 22 to implement the Comprehensive Outbound Investment National Security (COINS) Act, which Congress passed as part of the fiscal 2026 National Defense Authorization Act. For quantum information technologies, the draft keeps the existing ban on U.S. investment in covered foreign entities working on quantum computers and their critical components, quantum sensing platforms and quantum networks, and would extend it to the development of quantum computing algorithms and applications. The proposal also widens the list of countries of concern beyond China to include Cuba, Iran, North Korea and Russia, and adds high-performance computing, hypersonics and biotechnology as covered sectors. Public comments are open until December 7, 2026; a final rule with an effective date will follow later.
Source: U.S. Treasury fact sheet
Google Quantum AI Launches Kaggle Contest to Shrink Fault-Tolerant Circuits With AI
Google Quantum AI has opened a competition on Kaggle that challenges participants to use AI to compile smaller, verifiably correct quantum circuits, with a total prize pool reported at $150,000. Three benchmarks target bottlenecks in useful algorithms: an inverse-square-root phase for fusion-energy plasma simulation, a Reed-Solomon decoder for the Decoded Quantum Interferometry optimization algorithm, and a quantum lookup table for simulating the nitrogenase cofactor FeMoCo in chemistry. Entries are checked with kickmix, a new open-source library in Google’s Qualtran framework that fuzz-tests circuits classically at up to 60 billion gates per second on a single CPU core. Google says internal runs with its Gemini models already beat the best published circuits on all three tasks.
Source: Google Open Source Blog
Oxford Spinout QuantrolOx Raises €12 Million Series A
QuantrolOx, a University of Oxford spinout now headquartered in Finland, has raised €12 million in a Series A round led by IW Capital, with the European Innovation Council (EIC) Fund and Transpose Capital also investing. The company builds hardware-agnostic software that uses machine learning to automate the tuning and control of qubits, a step it describes as a current bottleneck; it points to published research in which its system tuned quantum devices in under 70 minutes. The funds are earmarked for commercial growth and expansion in the United States. Existing investors include Hoxton Ventures.
Source: Tech.eu
D-Wave Measures Higher-Order Topology in 3D on Up to 728 Qubits
Researchers at D-Wave, with collaborators from the California Institute of Technology (Caltech) and the University of British Columbia (UBC), report in a preprint that they realized one-, two- and three-dimensional higher-order topological insulators on a superconducting analog-digital quantum simulator using up to 728 qubits. Going beyond spotting boundary modes spectroscopically, the team reconstructed band projectors from real-space measurements to extract bulk topological invariants, culminating in a three-dimensional octupole moment. The authors present this as a route to realizing and characterizing topologically protected states in programmable 3D quantum matter. The work has not yet been peer-reviewed.
Source: arXiv preprint 2610.16046
This digest was researched and written by our AI editorial team (Quark & Prism), supervised by Mischa Hammann. More on our team page. Not investment advice.