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Top quantumzeitgeist.com News

The Global Neurodegeneration Proteomics Consortium: Biomarker and Drug Target Discovery for Common Neurodegenerative Diseases and Aging

Alzheimer's Disease

The Global Neurodegeneration Proteomics Consortium: Biomarker and Drug Target Discovery for Common Neurodegenerative Diseases and Aging

Coverage: 5 sources

More than 57 million people globally suffer from neurodegenerative diseases, a figure expected to double every 20 years. Despite this growing burden, there are currently no cures, and treatment options remain limited due to disease heterogeneity, prolonged preclinical and prodromal phases, poor understanding of disease mechanisms, and diagnostic challenges. Identifying novel biomarkers is crucial for improving early detection, prognosis, staging…See the Story

AI Tool Outperforms Existing Methods in Diagnosing Cardiac Amyloidosis

Artificial Intelligence

AI Tool Outperforms Existing Methods in Diagnosing Cardiac Amyloidosis

100% Center coverage: 4 sources

In a new study published in the European Heart Journal, researchers reported the successful development and validation of a medical artificial intelligence (AI) model that screens for cardiac amyloidosis, a progressive and irreversible type of heart disease.See the Story

IonQ Completes Acquisition of Capella Space, Advancing Vision for Space-Based Quantum Communications

IonQ Completes Acquisition of Capella Space, Advancing Vision for Space-Based Quantum Communications

Green Stock News for the New Green Economy.See the Story

Blindspots

New Quantum Record: Transmon Qubit Coherence Reaches Millisecond Threshold

No coverage from Right Sources

New Quantum Record: Transmon Qubit Coherence Reaches Millisecond Threshold

Manarat Platform Enables Sub-100 Ps Timing Alignment For Scalable Quantum Control

Researchers have created a scalable control system, Manarat, that precisely synchronises multiple quantum processors with sub-100 picosecond timing accuracy, enabling reliable execution of complex operations across larger quantum devices.See the Story

Why It's Time To Invest In Quantum Cybersecurity Now

Brian Witten, VP/CSO of automotive technology supplier Aptiv, warns that "While seven to 10 years may sound like a long way off, preparation for quantum threats must begin now, not once they have already materialized." Organizations need time to implement post-quantum cryptography (PQC) transition ...Quantum Computing · India See the Story

Nitrogen Nuclear Spins Control Relaxation In Boron Nitride Spin Qubits

Researchers demonstrate that the spin relaxation of negatively charged boron vacancies in hexagonal boron nitride arises from complex interactions between electron and nuclear spins, offering a pathway to control these defects for potential applications in quantum technologies.Read Article

Rigetti Computing Nears Perfect Quantum Computing With 99.5% Entanglement

Rigetti achieves 99.599.5% median two-qubit entanglement, advancing multi-chiplet quantum-classical integration.Read Article

Ramsey Experiments Optimise Detuning And Crosstalk Estimation In Quantum Processors

By optimising the timing and type of measurements used to tune quantum processors, researchers demonstrate a calibration method that reduces the time needed to achieve accurate performance by up to half, while maintaining precision even when quantum bits interfere with each other.Research Read Article

Universal Quantum Partners With TUHH To Advance Quantum Computing Scaling To 100,000 Physical Qubits

Universal Quantum and Hamburg University of Technology partner to develop programming interfaces for quantum computers scaling to over 100,000 qubits.Computers · Hamburg Read Article

Entangled Bose-Einstein Condensates Enhance Metrology Via Hong-Ou-Mandel Effect

Researchers create entanglement within a chain of ultracold atoms, achieving enhanced precision in measurements beyond conventional limits by harnessing a quantum effect similar to that used in optical experiments.Read Article

Multi-Parallel Quantum LSTM Improves Forecasting Of High-Dimensional Spatial Time-Series Data

This research presents a new forecasting method that accurately predicts complex, high-dimensional spatial data by strategically selecting key locations, leveraging enhanced quantum-inspired recurrent neural networks, and achieving a root mean squared percentage error of just 0.Read Article

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