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Dataset results
6 results for “QAOA”
[Source code and Dataset] FrozenQubits: Boosting Fidelity of QAOA by Skipping Hotspot Nodes
<p>FrozenQubits is a novel quantum divide-and-conquer approach that leverages the insight about most real-world applications having power-law graphs to boost the fidelity of QAOA applications. In FrozenQubits, we freeze some of the nodes with the highest degree of connectivity. This drops the edges connected to these nodes resulting in a circuit with fewer CNOTs and lower depth.</p>
Depth and Number of added SWAPs for newly developed routing code for QAOA quantum circuits
<p>We developed a qubit routing algorithm with polynomial classical run time for the Quantum Approximate Optimization Algorithm (QAOA). The algorithm follows a two step process. First, it obtains a near-optimal solution, based on Vizing's theorem for the edge coloring problem, consisting of subsets of the interaction gates that can be executed in parallel on a fully parallelized all-to-all connected QPU. Second, it proceeds with greedy application of SWAP gates based on their net effect on the distance of remaining interaction gates on a specific hardware connectivity graph. Our algorithm strikes a balance between optimizing for both the circuit depth and total SWAP gate count. We show that it improves upon existing state-of-the-art routing algorithms for QAOA circuits defined on <span><span><span><span>k</span></span></span></span>-regular as well as Erdös-Renyi problem graphs of sizes up to <span><span><span><span>N</span><span>≤</span><span>400</span></span></span></span>. This repository contains data and a ipython notebook used for plotting the results presented in the paper</p>
Dataset for Scaling Whole-Chip QAOA for Higher-Order Ising Spin Glass Models on Heavy-Hex Graphs
<p>Dataset for the paper titled Scaling Whole-Chip QAOA for Higher-Order Ising Spin Glass Models on Heavy-Hex Graphs</p> <p>Pre-print located at https://arxiv.org/abs/2312.00997</p> <p>See README.md for complete data description</p> <p>LA-UR-24-31392</p>
Dataset for High-Round QAOA for MAX k-SAT on Trapped Ion NISQ Devices
<p>Dataset for the paper titled `High-Round QAOA for MAX k-SAT on Trapped Ion NISQ Devices`</p> <p>LA-UR-23-28505</p>
Performance Analysis of Multi-Angle QAOA for p > 1
<p>Input graph files are the results of calculations reported in the linked publicaton.</p>
Data from "End-to-End Protocol for High-Quality QAOA Parameters with Few Shots"
<p>Data from the paper "End-to-End Protocol for High-Quality QAOA Parameters with Few Shots." The code for generating this dataset is available at <a href="https://github.com/jpmorganchase/End-to-End_Protocol_for_High-Quality_QAOA_Parameters">https://github.com/jpmorganchase/End-to-End_Protocol_for_High-Quality_QAOA_Parameters</a>.</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.