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This paper evaluates federated learning for privacy-preserving hybrid quantum-classical machine learning, demonstrating improved accuracy over local training while reducing communication and maintaining parameter efficiency.
This paper introduces HMB-GAN, a hybrid quantum-classical generative adversarial network for synthesizing CAD-ready vector geometries using multi-segment Bézier representations. It compares quantum and classical generators, demonstrating feasibility but highlighting hardware limitations.
This paper investigates whether transformers trained on quantum measurement data from Rydberg atom arrays exhibit neural scaling laws similar to large language models, finding that scaling behavior depends on the statistical structure of the data, particularly near critical points.
Multiverse Computing released Quasar 1.1 438B, an AI coding model built using quantum-generated data, with improved efficiency and reduced political censorship.
This paper introduces QART, a quantum-classical hybrid architecture that enhances long-horizon reasoning in large language models by integrating quantum encoding and optimization, showing performance improvements on several benchmarks.
Scott Aaronson reports that AI companies are withholding solutions to major problems due to concerns about public response, following backlash over the Navier-Stokes proof.
Researchers at UCLA, in collaboration with Caltech and NVIDIA, are using neural operators to advance AI-for-science applications in controlling complex quantum systems.
A multi-agent framework automates the generation of QUBO formulations from natural language descriptions, achieving 68% accuracy on the introduced QUBOBench benchmark.
This comment discusses the convergence of AI reasoning, autonomous experiments, high performance computing, and quantum computing to reshape chemistry and accelerate materials science discovery.
The article describes how MIT graduate student Beatriz Yankelevich used GPT-5.6 Sol with Codex to automate quantum computing experiments, saving time and enabling more focus on analysis and design.
IonQ announced the Superion 256 quantum computing platform, its sixth-generation product featuring 256 qubits and upgradeability for future scaling to millions of qubits.
A 12-week introductory course on quantum oracle engineering covering practical quantum circuit construction, Monte Carlo speedups, reversible computing, and Qiskit implementation.
IBM released the Quantum Nighthawk r2 processor featuring 120 qubits and independent high-speed qubit reset, enabling over 100,000 circuits per second with up to 25x higher throughput than IBM Quantum Heron. The system is available on the IBM Quantum Platform and advances IBM's roadmap toward fault-tolerant quantum computing.
Former MIT researchers now at IBM discuss their work on AI and quantum applications through the MIT-IBM Computing Research Lab, emphasizing the transition from academic research to real-world deployment.
This paper investigates hybrid quantum-classical neural networks for the vehicle routing problem, finding that encoder feed-forward replacement can reduce model parameters by 56.6% while maintaining near-baseline performance for small to medium instances.
This paper introduces a novel self-consistent midpoint aggregation method for stable quantum federated learning, addressing challenges like data heterogeneity and quantum noise with validation on real quantum machines.
This paper establishes a spectral identifiability threshold for recovering dissipation rates in open quantum systems, showing how many Liouvillian modes are needed for amplitude damping and dephasing recovery in a six-qubit Lindblad model.
MIT Quantum Initiative has launched a new postdoctoral fellowship program to accelerate interdisciplinary quantum research and develop the next generation of scientific leaders, supported by a grant from the Gordon and Betty Moore Foundation.
The National Science Foundation is investing $290 million in eight research institutes to advance U.S. quantum science, focusing on quantum computing, sensing, and communication technologies through collaborative efforts between academia, government, and industry.
Google announced a quantum computing breakthrough with its Willow system, completing a calculation in 5 minutes that would take a classical supercomputer 10 septillion years, marking a major milestone in quantum error correction.