Julie Choi’s Post

Edge Accelerators- solves conflict of quantization between a dynamic range and the precision

If you run molecular dynamics simulations, you need to read this. We walk through running benchmarks of popular apps like GROMACS and LAMMPS on new Hpc7g instances and Graviton3E processors. The results - up to 35% better vector performance versus Graviton3! Learn how to optimize your own workflows. https://buff.ly/4b8ISQU

Nice blog from Amazon Web Services (AWS) demonstration the benefits of #SVE and Arm Compiler for Linux (ACfL) on #GROMACS, #LAMMPS on #Neoverse V1-based #Graviton3E. Just in time for #ISC'24.

Learn more about new Intel Meteor Lake Core Ultra processors and how they compare to i9 in our latest blog post: https://lnkd.in/erGwrXwR

What are the fastest and most efficient ways to run Molecular Dynamics (MD) simulations? Finding optimal MD engines and submission parameters in a complex High Performance Computing environment with heterogeneous hardware poses a daunting and time-consuming challenge. We have an interactive molecular dynamics performance guide to simplify this process. Learn more here https://lnkd.in/gnwzDNqH

Day 4 of Quantum 30 Cohort 2.0 Today, I continued Zlatko Minev's series on quantum noise. This video(link: https://lnkd.in/dHxW_K7v) was a dive into projection noise. Projection noise is unavoidable due to the inherent nature of quantum mechanics. Measurements in quantum mechanics are probabilistic and not deterministic, which can lead to unexpected output, producing an error in our end results. In the lecture, Minev taught measurements of a quantum state and related statistics, like the expectation value, variance, and standard deviation of a particular observable. He also went through some simple math From a formula relating the standard deviation, which is also the error bar and number of shots, we can conclude that increasing the number of shots decreases this projection error since they're inversely proportional. This however increases the cost of operation. Quantum Computing India #quantum30 #quantum #quantumcomputing #noise #consistency

Simulation has always been a vital tool for scientific research and problem-solving, but integrating quantum power adds a whole new dimension.   Quantum algorithms offer unparalleled computational power, potentially outperforming classical algorithms by orders of magnitude for certain use cases.   Our latest blog explains how this is possible using the principles of quantum mechanics, such as superposition and entanglement. BQP's quantum-inspired approach explores multiple scenarios simultaneously, providing deeper insights and accelerating solutions for solving the toughest problems through the Simulation Of Things   #Quantumcomputing #Simulationofthings #QuantumAlgorithms #ClassicalApproach #BQP

#InfiNETv3 #Luhman16 #QubitComparison #QubitTypology - Pick your favorite qubit type. #NeutrinoNET #IILNeutrino #Infinite8 | https://lnkd.in/e43v_5C #HighAccuracy #QuantumSimulations "Moving away from quantum hardware in V3, named after one of our nearest stellar neighbors, V3 will outperform and outpace pure quantum hardware players by giving classical computers unlimited superpowers using quantum mechanics." - EM, JD I8I #Summer24

#InfiNETv3 #Luhman16 #QubitComparison #QubitTypology - Pick your favorite qubit type. #NeutrinoNET #IILNeutrino #Infinite8 | https://lnkd.in/guPC-yZr #HighAccuracy #QuantumSimulations "Moving away from quantum hardware in V3, named after one of our nearest stellar neighbors, V3 will outperform and outpace pure quantum hardware players by giving classical computers unlimited superpowers using quantum mechanics." - EM, JD I8I #Summer24

Power the future of space processing with adaptability, resilience, and interoperability. Introducing the first FPGA high-performance SpaceVPX COTS processing board built for space. #BendTheCurve