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62 results for “Quantum Computing”
Data for: Many-body thermodynamics on quantum computers via partition function zeros
<p>Partition functions are ubiquitous in physics: they are important in determining the thermodynamic properties of many-body systems, and in understanding their phase transitions. As shown by Lee and Yang, analytically continuing the partition function to the complex plane allows us to obtain its zeros and thus the entire function. Moreover, the scaling and nature of these zeros can elucidate phase transitions. Here we show how to find partition function zeros on noisy intermediate-scale trapped ion quantum computers in a scalable manner, using the XXZ spin chain model as a prototype, and observe their transition from XY-like behavior to Ising-like behavior as a function of the anisotropy. While quantum computers cannot yet scale to the thermodynamic limit, our work provides a pathway to do so as hardware improves, allowing the future calculation of critical phenomena for systems beyond classical computing limits.</p>
Data used in: Born rule as a test of the accuracy of a public quantum computer
<p>A data and scripts used during the preparation of <em>Born rule as a test of the accuracy of a public quantum computer</em>.</p>
Data from: Quantum computation of frequency-domain molecular response properties using a three-qubit iToffoli gate
<p>The quantum computation of molecular response properties on near-term quantum hardware is a topic of substantial interest. Computing these properties directly in the frequency domain is desirable, but the circuits require large depth if the typical hardware gate set consisting of single- and two-qubit gates is used. Here, we report the application of a high-fidelity multipartite gate, the iToffoli gate, to the computation of frequency-domain response properties of diatomic molecules. The iToffoli gate enables a ~50% reduction in circuit depth and ~40% reduction in circuit execution time compared to the traditional gate set. We show that the molecular properties obtained with the iToffoli gate exhibit comparable or better agreement with theory than those obtained with the native CZ gates. Our work is among the first demonstrations of the practical usage of a native multi-qubit gate in quantum simulation, with diverse potential applications to near-term quantum computation.</p>
Supporting data for "Measuring the Loschmidt amplitude for finite-energy properties of the Fermi-Hubbard model on an ion-trap quantum computer"
<p>This repository contains the supporting data for the publication: "Measuring the Loschmidt amplitude for finite-energy properties of the Fermi-Hubbard model on an ion-trap quantum computer".</p>
Data for: A linear response framework for simulating bosonic and fermionic correlation functions on quantum computers
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Data from: Quantum computation of frequency-domain molecular response properties using a three-qubit iToffoli gate
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Data for: Many-body thermodynamics on quantum computers via partition function zeros
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Data from: Determining ground-state phase diagrams on quantum computers via a generalized application of adiabatic state preparation
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Quantum Synth: a Quantum-Computing-based synthesizer - Supplementary videos
<p>These are supplementary videos for the AudioMostly 2020 conference paper titled: "Quantum Synth: a Quantum-Computing-based synthesizer".</p> <p>Video 1: 00_video_subtractive_backends_take2.mov</p> <p>Video 2: 01_video_subtractive_grover_cut.mov</p>
Hartree-Fock on a superconducting qubit quantum computer
<p>The simulation of fermionic systems is among the most anticipated applications of quantum computing. Here, we performed several quantum simulations of chemistry with up to one dozen qubits, including modeling the isomerization mechanism of diazene. We also demonstrated error-mitigation strategies based on N-representability which dramatically improve the effective fidelity of our experiments. Our parameterized ansatz circuits realized the Givens rotation approach to non-interacting fermion evolution, which we variationally optimized to prepare the Hartree-Fock wavefunction. This ubiquitous algorithmic primitive is classically tractable to simulate, yet still generates highly entangled states over the computational basis, which allowed us to assess the performance of our hardware and establish a foundation for scaling up correlated quantum chemistry simulations.</p>
Framework for performing experiments on IBM Quantum Computers
<p>The data used in my B.Sc. thesis.</p>
Towards experimental classical verification of quantum computation
<p>Source data underlying the graphical representations used in the figures.</p>
Data underpinning "Transmon platform for quantum computing challenged by chaotic fluctuations"
<p>Data set underlying the figures in the article "Transmon platform for quantum computing challenged by chaotic fluctuations" (https://doi.org/10.1038/s41467-022-29940-y)</p><p>From the perspective of many-body physics, the transmon qubit architectures currently developed for quantum computing are systems of coupled nonlinear quantum resonators. A certain amount of intentional frequency detuning ('disorder') is crucially required to protect individual qubit states against the destabilizing effects of nonlinear resonator coupling. In our paper, we investigate the stability of this variant of a many-body localized phase for system parameters relevant to current quantum processors developed by the IBM, Delft, and Google consortia, considering the cases of natural or engineered disorder. Applying three independent diagnostics of localization theory — a Kullback–Leibler analysis of spectral statistics, statistics of many-body wave functions (inverse participation ratios), and a Walsh transform of the many-body spectrum — we find that some of these computing platforms are dangerously close to a phase of uncontrollable chaotic fluctuations.</p>
Data for Unbiasing fermionic quantum Monte Carlo with a quantum computer
<p>Wavefunctions and Hamiltonians from "Unbiasing fermionic quantum Monte Carlo with a quantum computer"</p>
Supporting Data and Code for "Topological Order from Measurements and Feed-Forward on a Trapped Ion Quantum Computer"
<p>Supporting Data and Code for the paper "Topological Order from Measurements and Feed-Forward on a Trapped Ion Quantum Computer". </p> <p>Navigate to wen16/ then pip install -r requirements.txt<br>To generate all the plots/data run plots_and_data.ipynb</p>
Geometry and Integral Files for the manuscript "Quantum Computation for Periodic Solids in Second Quantization"
<p>Geometry and Integral Files for the manuscript "Quantum Computation for Periodic Solids in Second Quantization" <a href="https://doi.org/10.48550/arXiv.2210.02403">https://doi.org/10.48550/arXiv.2210.02403</a></p>
Quantum Optimization for the Maximum Cut Problem on a Superconducting Quantum Computer
<p>The dataset includes maximum cut problem instances on 3-regular graphs, the cut number returned by the experimental runs of the greedy-enhanced quantum relax-and-round algorithm, and the estimated optimal cut number used for computing the approximation ratio from the paper <em>Benchmarking Quantum Optimization for the Maximum-Cut Problem on a Superconducting Quantum Computer</em> [<a href="https://arxiv.org/abs/2404.17579">https://arxiv.org/abs/2404.17579</a>]</p>
Data underpinning "Classical Chaos in Quantum Computers"
<div> <div> <div> <div> <p>We provide the data used to produce the figures shown in our publication "Classical Chaos in Quantum Computer" and a Jupyter Notebook to reproduce all figures.</p> <h3>Abstract: </h3> <div> <div> <div> <div> <p>The development of quantum computing hardware is facing the challenge that current-day quantum processors, comprising 50-100 qubits, already operate outside the range of quantum simulation on silicon computers. In this paper, we demonstrate that the simulation of classical limits can be a potent diagnostic tool potentially mitigating this problem. As a testbed for our approach, we consider the transmon qubit processor, a computing platform in which the coupling of large numbers of nonlinear quantum oscillators may trigger destabilizing chaotic resonances. We find that classical and quantum simulations lead to similar stability metrics (classical Lyapunov exponents vs. quantum wave function participation ratios) in systems with O(10) transmons. However, the big advantage of classical simulation is that it can be pushed to large systems comprising up to thousands of qubits. We exhibit the utility of this classical toolbox by simulating all current IBM transmon chips, including the recently announced 433-qubit processor of the Osprey generation, as well as future devices with 1,121 qubits (Condor generation). For realistic system parameters, we find a systematic increase of Lyapunov exponents in system size, suggesting that larger layouts require added efforts in information protection.</p> </div> </div> </div> </div> </div> </div> </div> </div>
Linear cross-entropy certification of quantum computational advantage in Gaussian Boson Sampling
<p>This repository contains the data used to obtain the numerical results of the paper "Linear cross-entropy certification of quantum computational advantage in Gaussian Boson Sampling" (https://arxiv.org/abs/2403.15339).</p>
Violation of no-signaling on a public quantum computer
<p>Dataset for Violation of no-signaling on a public quantum computer</p>
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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.