Roche
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Roche explores quantum computing applications for pharmaceutical research and drug discovery, investigating quantum algorithms for molecular simulation, protein folding prediction, and drug-target interaction modeling that could accelerate the development of new medicines and personalized therapies, collaborating with quantum computing companies and research institutions to leverage quantum advantages in computational chemistry, clinical trial optimization, and biomarker discovery, exploring how quantum machine learning and quantum simulation could enhance pharmaceutical research capabilities and reduce drug development timelines while improving therapeutic outcomes for patients across oncology, immunology, and other therapeutic areas.
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Mentions on QuantumZeitgeist
Electrochemical Electron Transfer: Atomistic Simulations Elucidate Kinetics at Interfaces and Beyond
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Electrochemical Hydrogenation of Graphene Achieves Reversible Transitions and Enhanced Rates Via Lattice Corrugations
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GAN Resonant Cavity LEDs Fabricated by Photo-Electrochemical Etching Reduce Stress from 0.74 to -0.15 GPa
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Graphene Defects Exhibit Intermediate Diffusive-ballistic Electron Conduction, Underestimating Electrochemical Potential with Diffusive Models
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Rochester Team to Develop Analog Predictive Coding Networks for Image Recognition
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Rochester Engineers Develop Analog Networks for Image Recognition
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RIT and University of Rochester Develop Experimental Quantum Communications Network in Rochester
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Surfing Quantum Internet: New Acoustic Wave Techniques Unveiled by Rochester Researchers
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Rochester Institute Course on Post-Quantum Cryptography
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University of Rochester Scientists Develop Fast, High-Density, Low-Power Hybrid Computing Memory. The Memristor.
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