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The parallel gate took 14.8 microseconds and had an estimated fidelity of 0.92. The authors wrote that errors in preparing and reading out the qubits still limit the entangled states they can make.
QuEra sells neutral-atom machines with 256 and 260 physical qubits, while Harvard and MIT teams that include its co-founders have run arrays of more than 3,000 atoms. Its Libra computer, due in 2028, is the test.
A Sandia-led team scored Google, IBM, and Quantinuum processors and a logical-qubit machine on one scale. Helios-1 led at 1,504 without discarded runs, against about 250 million that the authors calculated for factoring RSA-2048.
For D-Wave, Rigetti, and Quantinuum, Commerce makes 44% to 56% of each $100 million available at the start and releases the remainder as the companies meet project milestones over up to five years.
Eric Lu posted a 130-digit prime factor of the 260-digit challenge number. The other factor is also prime. Lu later described a GPU run of the number field sieve that took about 4,900 GPU-days and cost about $400,000.
G7 cybersecurity agencies addressed decision-makers rather than technical teams, set five priorities from raising awareness to writing PQC into cybersecurity requirements, and warned that organizations that delay could be excluded from contracting opportunities, including public procurement.
IBM's two joined cryogenic cells reached 4 kelvin in under five days with no processors inside. News outlets reported a temperature under simulated load and a chip-link fidelity figure that IBM did not include in its release or technical blog.
Harvard researchers protected a silicon-vacancy qubit in diamond with a continuous acoustic drive in place of microwave pulses. They ran the experiment on a test chip without the phononic cavities meant to link qubits in a future network.
Researchers have published flaws in new post-quantum code since 2024. For long-term keys, a classical algorithm beside the new one limits the damage, at the cost of extra data, code, and a second migration. The NSA does not require hybrids.
wolfSSL's optimized ML-KEM code for two processor families compared only part of each incoming ciphertext. In tests on a reused key, Bhabani Sankar Das recovered 98.0% to 98.5% of its secret coefficients. Version 5.9.2 fixes both flaws.
