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Dynamical simulation via quantum machine learning with provable generalization [article]

Joe Gibbs, Zoë Holmes, Matthias C. Caro, Nicholas Ezzell, Hsin-Yuan Huang, Lukasz Cincio, Andrew T. Sornborger, Patrick J. Coles
<span title="2022-04-21">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Much attention has been paid to dynamical simulation and quantum machine learning (QML) independently as applications for quantum advantage, while the possibility of using QML to enhance dynamical simulations  ...  Here we develop a framework for using QML methods to simulate quantum dynamics on near-term quantum hardware.  ...  Below we use these quantum generalization bounds to quantify the performance of dynamical simulation via QML.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2204.10269v1">arXiv:2204.10269v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/n4bvvyyuhnfi3fktt2u7xm5ffu">fatcat:n4bvvyyuhnfi3fktt2u7xm5ffu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220430084446/https://arxiv.org/pdf/2204.10269v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/df/65/df655ae1b3d6912659de18c861f28d1f9326593e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2204.10269v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Quantum Computing at the Frontiers of Biological Sciences [article]

Prashant S. Emani, Jonathan Warrell, Alan Anticevic, Stefan Bekiranov, Michael Gandal, Michael J. McConnell, Guillermo Sapiro, Alán Aspuru-Guzik, Justin Baker, Matteo Bastiani, Patrick McClure, John Murray, Stamatios N Sotiropoulos, Jacob Taylor (+3 others)
<span title="2019-11-17">2019</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
applications, such as machine learning.  ...  The maturation of the field of quantum computing, in hardware and algorithm development, also coincides with the growth of several collaborative efforts to address questions across length and time scales  ...  These issues could possibly be ameliorated with the aid of quantum machine learning methods 66 , discussed in more detail in the following sections.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1911.07127v1">arXiv:1911.07127v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/k2agx5yysjgi3m3ryhicptzauq">fatcat:k2agx5yysjgi3m3ryhicptzauq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200929172709/https://arxiv.org/ftp/arxiv/papers/1911/1911.07127.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/56/a0/56a01866acd82fc4a4f2b1724965c120e51902ba.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1911.07127v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Learning nonlinear input–output maps with dissipative quantum systems

Jiayin Chen, Hendra I. Nurdin
<span title="2019-05-15">2019</span> <i title="Springer Science and Business Media LLC"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/gepo2g7s2bchrk2kxigrls4zi4" style="color: black;">Quantum Information Processing</a> </i> &nbsp;
dynamical systems.  ...  We then introduce an example class of dissipative quantum systems that is provably universal.  ...  Recent works have also proposed quantum machine learning algorithms that offer provable speedups over their classical counterparts [7] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s11128-019-2311-9">doi:10.1007/s11128-019-2311-9</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mu3dn7rv4je7za7irc2rxzteha">fatcat:mu3dn7rv4je7za7irc2rxzteha</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200905215309/https://arxiv.org/pdf/1901.01653v2.pdf" title="fulltext PDF download [not primary version]" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <span style="color: #f43e3e;">&#10033;</span> <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/12/49/1249cb671fabc333db26116a00991af7e7538f46.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s11128-019-2311-9"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Quantum Model-Discovery [article]

Niklas Heim, Atiyo Ghosh, Oleksandr Kyriienko, Vincent E. Elfving
<span title="2021-11-11">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
One of the most promising general approaches is based on recent developments in the field of scientific machine learning for solving PDEs.  ...  We extend the applicability of near-term quantum computers to more general scientific machine learning tasks, including the discovery of differential equations from a dataset of measurements.  ...  With this demonstration of what can be achieved with DQCs the fields of quantum computing and scientific machine learning are moving closer together.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2111.06376v1">arXiv:2111.06376v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2hjmezxs35fmjor52mms3umv3y">fatcat:2hjmezxs35fmjor52mms3umv3y</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211120193349/https://arxiv.org/pdf/2111.06376v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/b7/19/b719944c4ec77472adb65688fc5f1d8873353408.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2111.06376v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Self-learning projective quantum Monte Carlo simulations guided by restricted Boltzmann machines

S. Pilati, E. M. Inack, P. Pieri
<span title="2019-10-02">2019</span> <i title="American Physical Society (APS)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/5pgnwkvlevhybgsbuc3q7fchx4" style="color: black;">Physical review. E</a> </i> &nbsp;
This adaptive wave function is optimized along the PQMC simulation via unsupervised machine learning, avoiding the need of a separate variational optimization.  ...  The high accuracy of this self-learning PQMC technique is demonstrated for a paradigmatic sign-problem-free model, namely, the ferromagnetic quantum Ising chain, showing very precise agreement with the  ...  the quantum annealers' dynamics.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1103/physreve.100.043301">doi:10.1103/physreve.100.043301</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ppetvbmz4ngvnofxnqda4mxh7y">fatcat:ppetvbmz4ngvnofxnqda4mxh7y</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200907063839/https://arxiv.org/pdf/1907.00907v1.pdf" title="fulltext PDF download [not primary version]" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <span style="color: #f43e3e;">&#10033;</span> <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/bc/29/bc29dd9c68dcb932c4e4990c54f7c4f6e7874ed4.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1103/physreve.100.043301"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> aps.org </button> </a>

From Ansätze to Z-gates: a NASA View of Quantum Computing [article]

Eleanor G. Rieffel, Stuart Hadfield, Tad Hogg, Salvatore Mandrà, Jeffrey Marshall, Gianni Mossi, Bryan O'Gorman, Eugeniu Plamadeala, Norm M. Tubman, Davide Venturelli, Walter Vinci, Zhihui Wang, Max Wilson (+2 others)
<span title="2019-05-09">2019</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
To our early application thrusts in planning and scheduling, fault diagnosis, and machine learning, we add thrusts related to robustness of communication networks and the simulation of many-body systems  ...  We survey work relevant to these questions, with a particular emphasis on our recent work in quantum algorithms and applications, in elucidating mechanisms of quantum mechanics and their uses for quantum  ...  Target applications include optimization, machine learning, simulation of quantum chemistry and material science, and beyond.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1905.02860v2">arXiv:1905.02860v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/zn435zzodfhyvmlqdihpwk2qqu">fatcat:zn435zzodfhyvmlqdihpwk2qqu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200901044600/https://arxiv.org/pdf/1905.02860v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/2e/d4/2ed4b33e2c24306f9ebaf8dc517b24eb6afd7b67.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1905.02860v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

What the foundations of quantum computer science teach us about chemistry [article]

Jarrod R. McClean, Nicholas C. Rubin, Joonho Lee, Matthew P. Harrigan, Thomas E. O'Brien, Ryan Babbush, William J. Huggins, Hsin-Yuan Huang
<span title="2021-06-07">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
With the rapid development of quantum technology, one of the leading applications is the simulation of chemistry.  ...  with any computer.  ...  With the rise of popularity in machine learning, naturally there is now a flurry of work applying techniques of machine learning to chemistry [72] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2106.03997v1">arXiv:2106.03997v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/stn6jjrrhngmlepouc4z4ga6tu">fatcat:stn6jjrrhngmlepouc4z4ga6tu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210610052339/https://arxiv.org/pdf/2106.03997v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/1c/f5/1cf56138e17b8ec640b22bf455e997904ca0d560.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2106.03997v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Can Biological Quantum Networks Solve NP-Hard Problems?

Göran Wendin
<span title="2019-02-27">2019</span> <i title="Wiley"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ix5xpvcmffanvpvyvxl5xkg7me" style="color: black;">Advanced Quantum Technologies</a> </i> &nbsp;
On the other hand, artificial intelligence and machine learning implemented in complex dynamical systems based on genuine quantum networks can certainly be expected to show enhanced performance and quantum  ...  There is a widespread view that the human brain is so complex that it cannot be efficiently simulated by universal Turing machines, let alone ordinary classical computers.  ...  Acknowledgement This work has been partially supported by the Knut & Alice Wallenberg Foundation (KAW) (WACQT project), and by the EU Quantum Technologies Flagship (820363 -QpenSuperQ).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1002/qute.201800081">doi:10.1002/qute.201800081</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/nud3r5wn3zbwbknq7hvbwamye4">fatcat:nud3r5wn3zbwbknq7hvbwamye4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200930141331/https://arxiv.org/pdf/1902.03121v1.pdf" title="fulltext PDF download [not primary version]" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <span style="color: #f43e3e;">&#10033;</span> <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/76/8a/768a0e67a040c1f56744138bd1bb71b9f975895e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1002/qute.201800081"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> wiley.com </button> </a>

Biology and medicine in the landscape of quantum advantages [article]

Benjamin A. Cordier, Nicolas P. D. Sawaya, Gian G. Guerreschi, Shannon K. McWeeney
<span title="2021-12-16">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Quantum computing holds significant potential for applications in biology and medicine, spanning from the simulation of biomolecules to machine learning approaches for subtyping cancers on the basis of  ...  gaps that may be addressed with novel quantum approaches.  ...  subroutines central to quantum simulation, machine learning, and optimization algorithms [146] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2112.00760v2">arXiv:2112.00760v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/wmtcaxgmx5fnvpr3fckdykyup4">fatcat:wmtcaxgmx5fnvpr3fckdykyup4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211225132121/https://arxiv.org/pdf/2112.00760v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/94/a3/94a3ea01b760460faa5788f1dbb23d801db81dce.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2112.00760v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Provable superior accuracy in machine learned quantum models [article]

Chengran Yang, Andrew Garner, Feiyang Liu, Nora Tischler, Jayne Thompson, Man-Hong Yung, Mile Gu, Oscar Dahlsten
<span title="2021-06-22">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Here we construct dimensionally reduced quantum models by machine learning methods that can achieve greater accuracy than provably optimal classical counterparts.  ...  These techniques illustrate the immediate relevance of quantum technologies to time-series analysis and offer a rare instance where the resulting quantum advantage can be provably established.  ...  ACKNOWLEDGEMENTS We are grateful for discussions with Thomas Elliott  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2105.14434v2">arXiv:2105.14434v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jcjixefaobbjnicqrs4nzjahey">fatcat:jcjixefaobbjnicqrs4nzjahey</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210624143010/https://arxiv.org/pdf/2105.14434v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/18/64/1864fdec0437f0e86068faa692ccdb6cf1653efc.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2105.14434v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Ethical Quantum Computing: A Roadmap [article]

Elija Perrier
<span title="2022-04-20">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In particular, we demonstrate how the unique features of quantum information processing gives rise to distinct ethical consequences (including in the context of machine learning).  ...  paradigm-shifting computational capacity with significant ethical consequences.  ...  and audited (e.g. via quantum fair machine learning). 3.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2102.00759v3">arXiv:2102.00759v3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/wxuijzlq3vdjzocnrrp42fdbte">fatcat:wxuijzlq3vdjzocnrrp42fdbte</a> </span>
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Prospects for Quantum Enhancement with Diabatic Quantum Annealing [article]

E.J. Crosson, D.A. Lidar
<span title="2020-08-22">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Other promising variants of traditional QA include reverse annealing and continuous-time quantum walks, as well as analog analogues of parameterized quantum circuit ansatzes for machine learning.  ...  We argue that all of these protocols can be explored in a state-of-the-art manner by embracing the full range of novel out-of-equilibrium quantum dynamics generated by time-dependent effective transverse-field  ...  We also acknowledge helpful discussions with Dr. Richard Harris about D-Wave's reverse annealing protocol.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2008.09913v1">arXiv:2008.09913v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/e7wkjkblyrgi7hrklnmzh474vu">fatcat:e7wkjkblyrgi7hrklnmzh474vu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200909041346/https://arxiv.org/pdf/2008.09913v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2008.09913v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Quantum supremacy in end-to-end intelligent IT. Pt. 2: State -of -art of quantum SW/HW computational gate-model toolkit

Olga Ivancova, Vladimir Korenkov, Olga Tyatyushkina, Sergey Ulyanov, Toshio Fukuda
<span title="">2020</span> <i title="Dubna State University"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/m7omc2c7zrberg3pdkfzdxjaey" style="color: black;">System Analysis in Science and Education</a> </i> &nbsp;
Several paradigms of quantum computing are considered. Quantum computer simulators are de-scribed. Models of learning quantum systems from experiments are considered.  ...  Quantum speed-up limitation in two-level systems (qubit) is discussed. The approaches to the formation of a quantum variational intrinsic solver are considered.  ...  , simulation of molecules, Protein Folding, Genome Sequencing, Quantum Field Theory simulations, Quantum Machine Learning and many others.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.37005/2071-9612-2020-1-85-125">doi:10.37005/2071-9612-2020-1-85-125</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ylijftkyzvayfieqt4z4tck7ay">fatcat:ylijftkyzvayfieqt4z4tck7ay</a> </span>
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Quantum kernels for real-world predictions based on electronic health records [article]

Zoran Krunic, Frederik F. Flöther, George Seegan, Nathan Earnest-Noble, Omar Shehab
<span title="2022-01-31">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In recent years, research on near-term quantum machine learning has explored how classical machine learning algorithms endowed with access to quantum kernels (similarity measures) can outperform their  ...  , making this one of the largest quantum machine learning experiments to date.  ...  As a result, quantum machine learning has been explored as an alternative and for certain general problems it has already been proved that quantum machine learning algorithms can provide benefits beyond  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2112.06211v2">arXiv:2112.06211v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/wn7th7dtxfaphlgxiqsazhzh5i">fatcat:wn7th7dtxfaphlgxiqsazhzh5i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220203002331/https://arxiv.org/ftp/arxiv/papers/2112/2112.06211.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/51/07/5107edd976857a1764ce3509d42831125fa98380.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2112.06211v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

CERN Quantum Technology Initiative Proposal

Di Meglio Alberto
<span title="2020-09-30">2020</span> <i title="Zenodo"> Zenodo </i> &nbsp;
The CERN Quantum Technology Initiative defines a three-year roadmap and research programme in collaboration with the HEP and quantum technology research communities.  ...  This document presents an analysis of the motivation and opportunities related to quantum technologies; a description of the cutting-edge quantum technology activities ongoing at CERN today; and a proposal  ...  A special class of algorithms is represented by machine-learning (ML) and deep-learning (DL) algorithms; today, quantum machine learning (QML) is a lively research field.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.4632134">doi:10.5281/zenodo.4632134</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/nty3camu5zc6phih3t524cfmei">fatcat:nty3camu5zc6phih3t524cfmei</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210325043401/https://zenodo.org/record/4632135/files/Quantum%20Technology%20Initiative%20v1-2p.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/f5/d6/f5d613ec4d484193b1d4912225730dff485fe73b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.4632134"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> zenodo.org </button> </a>
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