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Researchers at the Technical University of Denmark used a hybrid AI and quantum computing approach to generate novel peptides that bind to specific proteins, showing improved performance especially with sparse data, potentially accelerating vaccine and personalized immunotherapy development.
Google researchers show that reinforcement learning can use error detection data from quantum error correction to continuously recalibrate control parameters, allowing stable long-duration computations without stopping for recalibration.
This paper presents QANTIS, a method that uses IBM Heron quantum hardware to perform calibrated belief updates for Partially Observable Markov Decision Processes (POMDPs), focusing on reusing a quantum belief-update primitive across sequential decision steps without corrupting the posterior. The authors validate the approach with a controlled case study on the Tiger POMDP, showing that the hardware posterior selects the same actions as exact Bayesian inference.
Proposes a low-overhead error correction technique for quantum convolutional neural networks using bivariate bicycle codes, demonstrating improved learning under realistic noise compared to unprotected QCNNs.
Presents Onnes, a physics-grounded multi-agent LLM simulator for cryogenic fault diagnosis in quantum computing infrastructure. With curated few-shot demonstrations and self-consistency voting, a zero-shot LLM agent panel achieves 0.990 fault-classification accuracy, matching a supervised classifier without parameter updates.
This paper presents an open-source simulator for peaked quantum circuits using sparse state vector representations with vectorized operations and hardware acceleration, enabling efficient classical simulation of circuits with sharp output distributions.
Announces a new LLM-assisted search algorithm that achieves state-of-the-art results in mathematics, quantum computing compilation, and AI infrastructure, with open-source models outperforming prior human and AI designs.
This paper introduces IonSense-QKG, a metadata framework that enriches public lithium-ion battery datasets with quantum-readiness fields and a weighted Quantum Readiness Score to rank datasets for near-term hybrid quantum-classical machine learning.
The article examines the current state of quantum computing, noting that no quantum computer has yet performed a useful task despite ambitious promises from the Trump administration and Microsoft's Majorana 2 chip announcement, which has drawn criticism from independent researchers for overhyping incremental progress.
QuEra announces a roadmap to build a quantum computer with over 10,000 qubits and 256 error-corrected logical qubits by 2028, aiming to leapfrog current systems, with a more powerful successor by 2029.
The U.S. Department of Energy announced the Quantum Genesis initiative to develop and deploy the world's first fault-tolerant quantum computers by 2028, aiming to accelerate scientific discovery and maintain U.S. leadership in quantum computing.
A blog post recounting the nightmare of debugging a broken Windows build for the open-source quantum computing library 'stim', highlighting the complexity of cross-platform Python package building and dependency management.
A speculative discussion on whether AGI will emerge from LLMs or alternative technologies like quantum computing.
Lecture notes on the foundations of quantum machine learning, covering qubits, superposition, measurement, and the Bloch sphere.
A new peer-reviewed paper in Nature argues that Microsoft's claims of achieving a topological qubit with its Majorana 1 chip were not convincingly demonstrated, suggesting the observed signatures could be from quantum dots instead.
A scientist published a peer-reviewed critique in Nature arguing that Microsoft's quantum computing breakthrough claims are invalid due to basic Python errors and omitted data, suggesting the company's topological quantum computer is far from realization.
The White House issued an executive order shortening the deadline for transitioning to quantum-resistant encryption to 2030/2031, citing reduced cost estimates for quantum computers and the threat of harvest-now-decrypt-later attacks.
President Trump orders a national initiative to build a quantum computer for important scientific calculations.
A decade-long project aims to teach AI enthusiasts about quantum computing.
Quantinuum's 98-qubit Helios system achieves record single-qubit (99.9975%) and two-qubit (99.921%) fidelities with all-to-all connectivity, as reported in a peer-reviewed paper in Nature.