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Running a Quantum Circuit at the Speed of Data [article]

Nemanja Isailovic, Mark Whitney, Yatish Patel, John Kubiatowicz
2008 arXiv   pre-print
We analyze circuits for a number of kernels from popular quantum computing applications, characterizing the hardware resources necessary to take ancilla preparation off the critical path.  ...  The result is a chip entirely dominated by ancilla generation circuits.  ...  We refer to this fully offline parallelization of data-independent work as running the circuit at the speed of data.  ... 
arXiv:0804.4725v1 fatcat:m64inh3c3zgnzeukk676h3y2ra

Running a Quantum Circuit at the Speed of Data

Nemanja Isailovic, Mark Whitney, Yatish Patel, John Kubiatowicz
2008 SIGARCH Computer Architecture News  
The result is a chip entirely dominated by ancilla generation circuits.  ...  We introduce a new quantum computing architecture with highly concentrated data-only regions surrounded by shared ancilla factories.  ...  In Section 5, we combine our analyses to answer the overall question of the feasibility of running a quantum circuit at the speed of data, and we conclude in Section 6.  ... 
doi:10.1145/1394608.1382137 fatcat:ynzkzhonwrcn3dn7dhgb6s4o7u

Running a Quantum Circuit at the Speed of Data

Nemanja Isailovic, Mark Whitney, Yatish Patel, John Kubiatowicz
2008 2008 International Symposium on Computer Architecture  
The result is a chip entirely dominated by ancilla generation circuits.  ...  We introduce a new quantum computing architecture with highly concentrated data-only regions surrounded by shared ancilla factories.  ...  In Section 5, we combine our analyses to answer the overall question of the feasibility of running a quantum circuit at the speed of data, and we conclude in Section 6.  ... 
doi:10.1109/isca.2008.5 dblp:conf/isca/IsailovicWPK08 fatcat:zyk7rkvf3je2xpxtzej2ylxfj4

Batching Circuits to Reduce Compilation in Quantum Control Hardware [article]

Ashlyn D. Burch, Daniel S. Lobser, Christopher G. Yale, Jay W. Van Der Wall, Oliver G. Maupin, Joshua D. Goldberg, Matthew N. H. Chow, Melissa C. Revelle, Susan M. Clark
2022 arXiv   pre-print
In this work, we describe a batching implementation of our custom software that speeds the experimental run-time through the reduction of communication and upload times.  ...  At Sandia National Laboratories, QSCOUT (the Quantum Scientific Computing Open User Testbed) is an ion-trap based quantum computer built for the purpose of allowing users low-level access to quantum hardware  ...  ACKNOWLEDGMENT We want to acknowledge the significant contributions of Andrew Landahl, Kenneth Rudinger, Antonio Russo, and Benjamin Morrison for their work in developing and constantly improving the Jaqal  ... 
arXiv:2208.00076v1 fatcat:zz4tmrfitrdobkywqeikmddoqi

Quantum Machine Learning: Benefits and Practical Examples

Frank Phillipson
2020 International Workshop on the QuANtum SoftWare Engineering & pRogramming  
A quantum hybrid Helmholtz machine use quantum sampling to improve run time, a quantum Hopfield neural network shows an improved capacity and a variational quantum circuit based neural network is expected  ...  A quantum computer that is useful in practice, is expected to be developed in the next few years.  ...  The implementation of this circuit is done on the Quantum Inspire simulator (www.quantum-inspire.com) and has the potential to be run on a few qubit quantum device.  ... 
dblp:conf/quanswer/Phillipson20 fatcat:d5kdtqlhajfopomcwkhan6urke

Minimum Quantum Run-Time Characterization and Calibration via Restless Measurements with Dynamic Repetition Rates

Caroline Tornow, Naoki Kanazawa, William E. Shanks, Daniel J. Egger
2022 Physical Review Applied  
The performance of a quantum processor depends on the characteristics of the device and the quality of the control pulses.  ...  In addition, we calibrate a qubit with parameter scans and error-amplifying gate sequences and show speed-ups of up to a factor of 40 on the quantum device over active reset.  ...  [7] , this speed-up considers the circuit delay and circuit execution times but not the run-time compilation and data transfer times. III.  ... 
doi:10.1103/physrevapplied.17.064061 fatcat:73chsxmrffduvk4mkmet24agse

Quantum Proof of Work with Parametrized Quantum Circuits [article]

Mikhail Y. Shalaginov, Michael Dubrovsky
2022 arXiv   pre-print
Despite all the progress in quantum technologies over the last decade, there is still a dearth of practical applications for quantum computers with a small number of noisy qubits.  ...  The effort to show quantum supremacy has been largely focused on demonstrating computations that cannot be accomplished on a classical computer at all, a difficult and controversial target.  ...  Acknowledgements The authors would like to thank Bogdan Penkovsky, Brian Dellabetta, Igor Balla, and Marshall Ball for helpful discussions as well as the organizers of the MIT Quantum Hackathon iQuHACK  ... 
arXiv:2204.10643v2 fatcat:ycgxurbkvfa3dfph4czy4mg2se

Prospects and challenges of quantum finance [article]

Adam Bouland, Wim van Dam, Hamed Joorati, Iordanis Kerenidis, Anupam Prakash
2020 arXiv   pre-print
For each application we describe the extent of quantum speedup possible and estimate the quantum resources required to achieve a practical speedup.  ...  In this article we describe such potential applications of quantum computing to finance, starting with the state-of-the-art and focusing in particular on recent works by the QC Ware team.  ...  Of course one can always run the algorithm at a lower value of (with lower depth).  ... 
arXiv:2011.06492v1 fatcat:mqzj2a2pzzaz5pdcllxgkr73oq

Empirical Analysis of a Quantum Classifier Implemented on IBM's 5Q Quantum Computer

Wei Hu
2018 Journal of Quantum Information Science  
A recent work designed a quantum classifier that runs on IBM's five qubit quantum computer and tested its performance on the Iris data set as well as a circles data set.  ...  The first is to run its original version as a binary classifier on some artificial datasets using visualization to reveal the quantum nature of this algorithm, and the second is to analyze the swap operation  ...  Note that a swap operation is used at the end of this circuit to satisfy the star topology employed in IBM's 5Q quantum chip, see Figure 1 .  ... 
doi:10.4236/jqis.2018.81001 fatcat:po7tvxa3jjfard2yniywnmigzm

An Economic Model for Quantum Key-Recovery Attacks against Ideal Ciphers [article]

Benjamin Harsha, Jeremiah Blocki
2020 arXiv   pre-print
In our analysis we introduce the concept of a quantum cipher circuit year to measure the cost of a quantum attack.  ...  This concept can be used to model the inherent tradeoff between the total time to run a quantum key recovery attack and the total work required to run said attack.  ...  As we reduce depth d of the quantum circuit (holding width constant) an attacker running at the same gate speed is able to make more cipher queries in the same amount of time.  ... 
arXiv:2005.05911v1 fatcat:5dsgtyghffbknnghhnaqonuisu

A space-efficient quantum computer simulator suitable for high-speed FPGA implementation

Michael P. Frank, Liviu Oniciuc, Uwe Meyer-Baese, Irinel Chiorescu
2009 arXiv   pre-print
of the full quantum state vector as a function of the number of quantum operations applied.  ...  Conventional vector-based simulators for quantum computers are quite limited in the size of the quantum circuits they can handle, due to the worst-case exponential growth of even sparse representations  ...  ACKNOWLEDGEMENTS The authors gratefully acknowledge support for this work from the Council on Research and Creativity (CRC) at Florida State University.  ... 
arXiv:0910.1503v1 fatcat:uj2nr2n6mfgzfdacdfykef4ele

Quantum Density Peak Clustering Algorithm

Zhihao Wu, Tingting Song, Yanbing Zhang
2022 Entropy  
To fix these problems, we propose a quantum DPC (QDPC) algorithm based on a quantum DistCalc circuit and a Grover circuit.  ...  However, DPC is inefficient when dealing with scenes with a large amount of data, and the range of parameters is not easy to determine.  ...  Acknowledgments: The authors would like to thank the reviewers for their valuable comments and suggestions. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/e24020237 pmid:35205530 pmcid:PMC8870877 fatcat:oc33mej3azfrjo5fqhz2dxnoyu

Computers That Can Run Backwards

Peter Denning, Ted Lewis
2017 American Scientist  
ENGLISH) Denning et al discusses the potential impact of reversible computations as computers that can run backwards, to reduce the energy consumption of each new generation of their chips.  ...  The birth of reversible circuits where researchers noted the relationship between information theory and thermodynamics that could solve the problem of giving off that form of heat and if other sources  ...  The initial versions of quantum computers rely on circuits cooled to within a fraction of a degree of absolute zero. We need quantum circuits that in theory give off no heat at all.  ... 
doi:10.1511/2017.105.5.270 fatcat:cq47m2jwinh7nf7qfzyrreatee

Identification of Desired Pixels in an Image Using Grover's Quantum Search Algorithm [article]

Basit Iqbal, Harkirat Singh
2021 arXiv   pre-print
With the availability of public online resources for quantum computers like IBM, quantum image processing came into the picture for making use of quantum computers in the image processing field.  ...  In the second method, I converted a python-generated 2x2 image into a quantum image and then ran Grover's algorithm to locate the darker pixels.  ...  Now, as the field of quantum image processing is developing new steganalysis techniques are being developed to hide the data in a quantum image.  ... 
arXiv:2107.03053v1 fatcat:szpsl5mpzzgvffcmkivyfxzoam

Photonic Quantum Policy Learning in OpenAI Gym [article]

Dániel Nagy and Zsolt Tabi and Péter Hága and Zsófia Kallus and Zoltán Zimborás
2021 arXiv   pre-print
We introduce proximal policy optimization for photonic variational quantum agents and also study the effect of the data re-uploading.  ...  For the restricted CartPole problem, the two variations of the photonic policy learning achieve comparable performance levels and a faster convergence than the baseline classical neural network of same  ...  (a) presents the Ansatz circuit in which the initialization of parameters and their displacement data encoding is applied only at the beginning of the circuit followed by the first layer of the quantum  ... 
arXiv:2108.12926v1 fatcat:un7eudgj3zgsjd2r3pmud4bphm
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