IBM Research-Zurich

Articles related to people and projects from IBM Research-Zurich.

Optomechanics with Gallium Phosphide for Quantum Transduction

Scientists at IBM Research-Zurich use gallium phosphide to create on-chip integrated devices using optomechanics for quantum transduction.

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Deciphering Breast Cancer Heterogeneity Using Machine Learning

A comprehensive analysis of tumor ecosystems that represents an important step in research that may lead to precision medicine approaches to treat breast cancer.

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Shaping Microscale Flows with Electric Fields

The field of lab-on-a-chip seeks to revolutionize chemical and biological analysis by reducing large scale laboratories to the size of a microfluidic chip.

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Controlling Nuclear Noise in Semiconductor Qubits

Fluctuations of nuclear spins may limit the lifetime of spin qubits. A technique is developed that gets such fluctuations under control.

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Harnessing The Power of Quantum Computing To Speed Up The Study Of Magnetic Materials

Magnetic materials could be at the forefront of an upcoming revolution in electronics.

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Quantum Risk Analysis

Using quantum algorithms, we have developed a new approach to risk analysis, provideing a significant speed increase over established classical algorithms.

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The Fundamentals of Mass Transport in Biopatterning

The patterning of molecules is critical in applications including microarrays, tissue engineering, biosensors, biomaterials and fundamental cell studies.

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Privacy by Design for Financial Services Organizations in the GDPR Era

IBM Research understands data privacy for a modern business and has developed state-of-the-art solutions for protecting data in the GDPR era.

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In-Memory Computing Using Photonic Memory Devices

IBM researchers discover that in-memory computing on an integrated photonic chip has the ability to further transform the computing landscape.

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NeuNetS: Automating Neural Network Model Synthesis for Broader Adoption of AI

NeuNetS uses AI to automatically synthesize deep neural networks faster and more easily than ever before, scaling up the deployment and adoption of AI.

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TAPAS: Frugally Predicting the Accuracy of a Neural Network Prior to Training

Constructing a neural network model for each new dataset is the ultimate nightmare for every data scientist. What if you could forecast the accuracy of the neural network earlier thanks to accumulated experience and approximation? This was the goal of a recent project at IBM Research and the result is TAPAS or Train-less Accuracy Predictor […]

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The Pockels Effect on Silicon: A New Material for Ultra-Fast Data Transfer

As data grows, so does the energy consumption required to store and process it, which is why scientists around the world are turning to light (photonics) as a means of moving data. The Pockels effect, an important phenomenon in certain materials, allows changing the optical properties of the material through an electrical stimulus. The effect […]

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