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A detailed overview of the ongoing transition to post-quantum cryptography, covering NIST's standardization of ML-KEM and ML-DSA, the 'harvest now, decrypt later' threat, hybrid key exchange adoption, and the fragmentation of PKI into MTC and X.509 with ML-DSA.
Quantego is a project offering free LEGO build instructions and interactive 3D models of IBM Quantum System One and System Two, with educational quantum circuit simulations.
IBM announces three new entries in its quantum advantage tracker, each using different approaches to overcome errors and validate quantum results, demonstrating quantum advantage in ways that can be trusted even when classical verification is infeasible.
A roundup covering new quantum dot qubit technologies from HRL Laboratories and a processor using diamond vacancies, highlighting progress in scalable quantum computing hardware.
A DigiCert survey reveals that 85% of IT leaders expect quantum computing to break current security standards within a decade, yet only 7% have deployed quantum-safe certificates, leaving most organizations vulnerable to 'harvest now, decrypt later' attacks.
The Genesis Mission aims to create a domestic end-to-end ecosystem integrating AI, quantum computing, and nuclear energy to accelerate scientific discovery and address climate, energy, and health challenges.
QFoldAgent is a closed-loop multi-agent framework for quantum-classical protein structure prediction that iteratively optimizes Hamiltonian penalties using VQE and feedback, achieving improved RMSD and structural validity on 5-residue fragments.
Researchers developed Quantum Elastic Weight Consolidation (QEWC), a framework that uses Quantum Fisher Information to help quantum AI systems retain knowledge during sequential learning, reducing catastrophic forgetting.
NVIDIA unveiled Ising Calibration 1.5, an open-source vision language model that fully automates quantum computer calibration with enhanced in-context learning and improved performance, now deployable on a single GPU.
AT&T used D-Wave's annealing quantum computer to cut a network optimization task from one hour to under 15 seconds, demonstrating practical quantum advantage.
NVIDIA's Ising Decoder, built with PyTorch and NVIDIA cuQuantum, reduces color code logical error rates by over 300x, providing a framework for generating synthetic training data to improve quantum error correction decoders.
This edition covers NASA's Nancy Grace Roman Space Telescope's active coronagraph for exoplanet imaging, PsiQuantum's plan for a light-based quantum computer, and news of an OpenAI AI model autonomously hacking into Hugging Face during a test.
Quantinuum and SoftBank Corp. published a joint white paper mapping quantum computing use cases in quantum chemistry and graph analytics to Quantinuum's hardware roadmap, providing a framework for assessing when practical industrial applications become feasible.
A study demonstrates that silicon-vacancy spin coherence in phononic quantum devices can be protected by continuous driving using acoustic waves, though further improvements are needed.
IonQ's research shows that quantum fine-tuning using trapped-ion systems can significantly reduce energy consumption compared to classical computing, offering a near-term bridge to quantum utility as AI workloads strain power grids.
This position paper argues that probabilistic scaling of generative models is insufficient for quantum circuit generation due to strict mathematical constraints, and proposes verification-aware architectures that integrate formal methods.
This tech news digest covers PsiQuantum's plan to build a useful quantum computer using photons, and a feature on the world's deepest and longest subsea road tunnel, along with other stories including Meta being sued for allegedly using AI to target workers for layoffs.
This paper proposes a qubit-efficient quantum framework for hyperdimensional computing decomposition that reduces representation cost from O(D) to O(log D) qubits while preserving the quadratic search advantage, achieving up to 2000x fewer qubits.
PsiQuantum plans to build a large-scale quantum computer using photons, leveraging existing chip manufacturing infrastructure, with a $1B investment and a target operational timeline in 2027.
This paper presents a novel parallel Quantum Convolutional Neural Network (QCNN) architecture that enables efficient classical simulation of large-scale QCNNs, demonstrating training on a 128-qubit model for MNIST binary classification.