Quantum Comms
Tiny, hidden measurement errors can fake high-dimensional entanglement
Researchers show that arbitrarily small measurement deviations, when adversarially encoded into the measurement apparatus, can lead established entanglement-verification tests to certify high-dimensional entanglement in systems that are actually separable. They demonstrate the attack experimentally with classical photonic states encoded in the spatial degree of freedom, spanning up to 61 dimensions with measurement-fidelity errors as low as 0.23%, exposing a fundamental vulnerability in current high-dimensional entanglement detection and motivating verification schemes robust to bounded theory-experiment discrepancies.
Quantum Computing
Optimal, control-free Hamiltonian learning brings in-situ device characterization within reach
A new algorithm learns an unknown Hamiltonian from its real-time evolution using only Pauli-product state preparation and measurement, with no ancillas, no interleaved control, and no need to specify the interaction structure in advance. It achieves a total evolution time of Theta((Lambda/eps^2)log(Lambda/eps)) that the authors prove is optimal for control-free protocols, and remains robust to state-preparation-and-measurement noise for local Hamiltonians, providing a practical route to rigorous characterization of near-term quantum platforms.
Pasqal's neutral-atom processor tackles 100-node real-world graph optimization
Researchers formulate emergency operation-center placement as a minimum-dominating-set problem and solve it with a hybrid quantum-classical scheme that uses neutral-atom quantum computers as independent-set samplers, refined by a lightweight classical step. Running on Pasqal's Fresnel processor in analog mode, they solve instances of up to 100 nodes and obtain near-optimal solutions despite hardware noise, evidence that analog neutral-atom devices can already address practical graph-optimization problems.
Bipartisan US bill would create a National Security Commission on Quantum Computing
US Representatives Mike Lawler (R-NY) and Pat Ryan (D-NY) introduced bipartisan legislation, the National Security Commission on Quantum Computing Act of 2026 (H.R. 9318), to establish an independent 11-member advisory panel charged with systematically evaluating global quantum-technology advancements. The bill signals growing congressional attention to quantum competitiveness and national-security implications.
Complexity map for matrix-function problems pinpoints where quantum advantage could live
A PRX Quantum paper characterizes the complexity of matrix-function problems across different parameter regimes, providing new insight into which regimes admit potential quantum advantage and which do not. The result helps delineate realistic targets for quantum algorithms operating on matrix functions.
Cooling algorithms beat adiabatic ground-state prep in the hard, gapless phase
Using an exactly solvable family of quadratic fermionic Hamiltonians under depolarizing noise, this study benchmarks cooling, adiabatic, and optimization algorithms for ground-state preparation and derives how achievable energy scales with noise rate. Adiabatic evolution is favorable in the trivial phase, but a multi-frequency cooling protocol becomes competitive or superior in the topological phase where gap closing limits adiabatic methods, and shows enhanced robustness to parameter imperfections.
New compiler cuts qubit-shuttling moves on neutral-atom processors
This work introduces a circuit-independent, graph-theoretic framework that determines the minimal number of qubit transfers needed to execute a circuit on zoned neutral-atom hardware, encoding the problem as a nonlinear integer program solved with a genetic algorithm. Compared with the leading scalable compiler for zoned architectures, it consistently finds fewer transfers, yielding shorter traveled distances or fewer parallel transfer operations and thus reduced movement-induced errors.
Diraq opens a Palo Alto office to expand its US footprint
Australian silicon-spin-qubit company Diraq announced a new office in Palo Alto, California, intended as a hub for product development and ecosystem partnerships as it scales toward commercially viable, utility-scale quantum computing. The company has signaled plans for further US expansion, including the Los Angeles area.
Quantum Comms
Cavity-coupled erbium-in-silicon emitters expose the roots of spectral instability
A PRX Quantum study uses single erbium emitters coupled to cavities in silicon to investigate the microscopic origins of spectral instability and decoherence in telecom-wavelength solid-state emitters. The platform's stability and silicon compatibility make it relevant for scalable quantum networking and computation, where stable, indistinguishable single photons are a key resource.
AI & ML
A controlled benchmark maps the quality-vs-compute trade-offs of diffusion language models
Researchers present a systematic study of modern diffusion language models, which generate text by iterative denoising rather than next-token prediction, evaluating eight state-of-the-art models across eight benchmarks spanning reasoning, coding, translation, and knowledge. They show that generation-time choices such as denoising steps, context length, block size, and parallel unmasking strongly shape distinct performance-efficiency trade-offs, giving practitioners clearer guidance on deploying DLMs.
Robotics
The case for humanoid-robot data standards as Physical AI's missing infrastructure
Drawing on the authors' work developing the ISO/WD 26264-1 humanoid-robot dataset standard, this article argues that data standards, not just models and hardware, are becoming foundational infrastructure for Physical AI. It frames humanoid data as embodied interaction data whose reusability hinges on physical coherence (timing, coordinate frames, calibration, kinematics) and identifies non-cumulative, siloed data as the central bottleneck for scaling embodied learning across robots and tasks.