Readout optimization - PowerPoint PPT Presentation

Dispersive qubit readout, standard models, and the use of autoencoders for improving qubit readout in quantum science are discussed in the workshop led by Piero Luchi. The workshop covers topics such as qubit-cavity systems, dispersive regime equations, and the classification of qubit states through

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SMuRF group at SLAC developed a cutting-edge RF readout system for cryogenic micro-resonators used in research. The system features cold resonators tuned with TES current and a flux ramp to eliminate 1/f noise. Key technical challenges include noise, linearity, wide bandwidth, and computation power.

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Swarm Intelligence (SI) is an artificial intelligence technique inspired by collective behavior in nature, where decentralized agents interact to achieve goals. Swarms are loosely structured groups of interacting agents that exhibit collective behavior. Examples include ant colonies, flocking birds,

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The DNN Inference Optimization Challenge, organized by Liya Yuan from ZTE, focuses on optimizing deep neural network (DNN) models for efficient inference on-device, at the edge, and in the cloud. The challenge addresses the need for high accuracy while minimizing data center consumption and inferenc

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Discrete Optimization is a field of applied mathematics that uses techniques from combinatorics, graph theory, linear programming, and algorithms to solve optimization problems over discrete structures. This involves creating mathematical models, defining objective functions, decision variables, and

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This study delves into the generalization of Empirical Risk Minimization (ERM) in stochastic convex optimization, focusing on minimizing true objective functions while considering generalization errors. It explores the application of ERM in machine learning and statistics, particularly in supervised

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This presentation covers the Particle Readout System for events happening on August 18, 2024, detailing the system requirements, detectors involved such as the Time Projection Chamber (TPC) and Forward Tracker (FT), monitoring devices like Beam Position Monitors (BPM), as well as the Forward Tracker

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This challenge calls for creating an inexpensive digital remote readout for azimuth, particularly useful in EME and microwaves. The project involves expertise with microprocessors like PIC, Arduino, Raspberry Pi, etc. The goal is to develop a functional system, share the plans, and the parts expense

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Explore the latest developments in pixel readout research and development for large liquid argon time-projection chambers (LArTPCs) presented by Dan Dwyer at the CYGNUS Collaboration Meeting. Learn about signal characteristics, wire signal ambiguity, challenges in true 3D readout, and the innovative

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Cutting-edge PET readout systems now utilize specialized ASICs for data acquisition from SiPMs, eliminating the need for FPGAs and reducing complexity, space requirements, and power consumption. The PETAT1 ASIC, developed by P. Fischer and team at Heidelberg University, enables time-ordered hit data

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Recent research highlights advancements in solving sampling problems in convex optimization, exemplified by works by Yin Tat Lee and Santosh Vempala. The complexity of convex problems, such as the Minimum Cost Flow Problem and Submodular Minimization, are being unraveled through innovative formulas

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Nanoparticles with specific absorption and emission properties are explored to enhance the readout process for BaF2 crystal calorimetry, focusing on detecting the fast 220nm UV component. The goal is to achieve a large Stokes shift to the visible wavelength range for efficient detection, while minim

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This study presents detailed analysis of a 3x3x18 cm³ CsI crystal readout using a Hamamatsu large area MPPC. Various tests were conducted on the MPPC and electronics setup, including laser pulsing and signal reduction. The results show improved time resolution and slewing correction, enhancing the

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The LNF crew, led by Benussi, is engaged in various activities at LNF, including studies on alternative gas mixtures, different GE1/1 gap sizes, material aging, readout optimization, and strips layout. Work is in progress on designing a dedicated PDB readout board for a GEM chamber, alongside improv

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Demonstrations featuring large-area 3D charge readout for Liquid Argon Time Projection Chambers (LArTPCs) were showcased by Peter Madigan at NorCal HEP-EXchange in December 2018. The challenges of readout in high-rate environments were discussed, along with the potential of pixelated TPCs in 3D LArT

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This piece discusses approximation algorithms for stochastic optimization problems, focusing on modeling uncertainty in inputs, adapting to stochastic predictions, and exploring different optimization themes. It covers topics such as weakening the adversary in online stochastic optimization, two-sta

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The dual-readout calorimeter for CepC, as discussed in the International Review in Beijing, September 2018, is designed to optimize electromagnetic, hadronic, and jet resolution. With features like large sampling fraction for good EM resolution, event-by-event correction for EM fluctuations, and int

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Bojan Hiti from Jožef Stefan Institute in Ljubljana, Slovenia conducted a series of tests involving BCM prototype readout chip and TowerJazz CMOS at CERN SPS H6. The experiments included beam tracking, analog readout, and chip configurations for the ATLAS Beam Condition Monitor upgrade. Detailed re

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The DarkLight project at TRIUMF in May/June 2023 involves the development of prototype scintillators with specific requirements for triggering, timing adjustments, and readout capabilities. Various images depict different components such as SiPMs, front-end readout cards, and TOF Alpha bars. The pro

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Implementing full streaming readout with proposed sub-detector technologies and DAQ system concept poses challenges including proper data alignment, risks of data loss, and background noise affecting data rates. The transition point for electronic components from detector-specific to common solution

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The Radio Frequency Readout Device (RFRD) Phase II project aims to reduce the time needed to check the tightness of nuts on anchor bolts. By utilizing a passive RFRD that measures capacitance changes in washers, the system offers a wireless, cost-effective solution for monitoring nut tightness. With

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Real-world design problems often require multi-objective optimization, and the Flower Pollination Algorithm (FPA) developed by Xin-She Yang in 2012 mimics the pollination process of flowering plants to efficiently solve such optimization tasks. FPA has shown promising results in extending to multi-o

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This presentation discusses the application of machine learning for optimizing EBIS beam intensity and RHIC luminosity. It covers topics such as motivation, EBIS beam intensity optimization, luminosity optimization, and outlines the plan and summary of the project. Collaborators from MSU, LBNL, and

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Fast Bayesian Optimization optimizes hyperparameters for machine learning on large datasets efficiently. It involves black-box optimization using Gaussian Processes and acquisition functions. Regular Bayesian Optimization faces challenges with large datasets, but FABOLAS introduces an innovative app

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This session introduces the TDAQ (Trigger and Data Acquisition) aspects at the CEPC Workshop, featuring talks on sub-detectors, data volume, readout implementations, and more. Clear requirements from various detectors are discussed, along with special technologies in pixel readout. Time zone adjustm

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Detailed tasks include the design, simulation, and implementation of optical components for the basic dRICH prototype, as well as the development of a SiPM program focusing on radiation tolerance and custom sensor solutions. The timeline spans from 2021 to 2025, with key milestones such as beam test

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This content discusses the components, requirements, and technology used in the Belle II Silicon Vertex Detector (SVD), including details about the silicon sensors, front-end readout ASIC (such as the APV25 chip), and the chip-on-sensor concept.

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This overview provides detailed information on the firmware upgrade for ALICE ITS system, including readout unit connectivity, purpose, flash FPGA, configuration, and scrubbing. It covers ProAsic3 firmware, SRAM FPGA, and readout firmware overview. The content discusses the production readiness revi

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This project aims to measure MCP characteristics such as uniformity, gain stability, charge depletion rate, and position resolution. The apparatus layout involves no cathode with incoming photons generating electrons on the MCP surface. Readout involves digitizing gain from each pad to find the cent

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This content discusses the application of the dual readout technique in simulation, authored by M. Bongi and S. Bottai on 12/11/2015. Explore the concepts and methodologies involved in this simulation technique and its relevance in various fields.

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This lecture explores optimization and convex optimization in the field of Artificial Intelligence, covering topics such as defining optimization problems, discrete and continuous variables, feasibility, and different types of optimization objectives. The content delves into the challenges and solut

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Introduction to optimization in system design, focusing on maximizing or minimizing objective functions. Explore types of optimization - unconstrained and constrained, with practical examples. Learn about computational methods for solving optimization problems and discover the implementation of opti

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This paper delves into the practical challenges and current trends in portfolio optimization, discussing aspects related to using portfolio optimization in practice and highlighting new methods and developments. The content covers a brief introduction, Mean-Variance Optimization (MVO), extensions of

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This comprehensive guide delves into various population-based metaheuristics and nature-inspired optimization techniques such as evolutionary algorithms, swarm intelligence, and artificial immune systems. It covers concepts like genetic algorithms, ant colony optimization, particle swarm optimizatio

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Explore the latest developments and discussions on the readout section of the TDR, including component simulation, readout noise considerations, ALTIROC architecture, and minimum readout speed requirements. Consultations with experts guide the work towards LpGBTx needs and system design procedures.

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Learn how to measure cosmic ray flux using a trigger and CAMAC readout system. Follow step-by-step instructions to connect equipment, adjust settings, measure rates, form coincidences, and collect data. Understand the significance of adjusting voltage, gate width, and timing for accurate readings in

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Explore the relationship between counting techniques, graph theory, and discrete optimization, with examples illustrating the transition from counting problems to optimization problems. Learn about applying optimization in scheduling and making graph models, as well as the role of graphs in discrete

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Discover the innovative research on compact Purcell filter designs for superconducting qubit readout at the University of Bologna. Explore solutions to enhance qubit measurement precision and reduce energy leakage, along with collaborations for creating more efficient architectures using JJ chains.

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Explore the collaborative efforts of researchers from INFN, Stony Brook University, and other institutions in developing DAQ and readout systems for a proposed new EIC experiment at IP6. Their expertise, infrastructure, and partnerships play a vital role in advancing technology for the experimental

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Explore how microprocessors are used for control and readout in physics experiments. Learn about simple control mechanisms, feedback systems, and PID controllers. Discover practical examples and references for implementing PID control loops in various applications.

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