A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2023; you can also visit the original URL.
The file type is application/pdf.
Filters
A Conceptual Architecture for a Quantum-HPC Middleware
[article]
2023
arXiv
pre-print
Preserved Fulltext
Through an in-depth analysis of quantum applications, integration patterns and systems, we identified a gap in understanding Quantum-HPC middleware systems. ...
With the increasing scale, middleware systems that facilitate the efficient coupling of quantum-classical computing are becoming critical. ...
The authors generated parts of this text with OpenAI's language-generation models. Upon generation, the authors reviewed, edited, and revised the language. ...
arXiv:2308.06608v1
fatcat:4gy3j62ycbehzawm7yss4wotvy
Estimating the frame potential of large-scale quantum circuit sampling using tensor networks up to 50 qubits
[article]
2022
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Other Versions
We apply the above methods to two problems: the Brown-Susskind conjecture, with local and parallel random circuits in terms of the Haar distance and the approximate k-design properties of the hardware ...
Our tensor-network-based algorithm has polynomial complexity for shallow circuits and is high performing using CPU and GPU parallelism. ...
Since the simulation of large circuits is expensive, we adaptively terminate simulations based on the calculated uncertainties in the frame potential. ...
arXiv:2205.09900v1
fatcat:pcprbd6jijemrpax7p3xzfdq6m
Strategies for quantum computing molecular energies using the unitary coupled cluster ansatz
2018
Quantum Science and Technology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
The variational quantum eigensolver (VQE) algorithm combines the ability of quantum computers to efficiently compute expectation values with a classical optimization routine in order to approximate ground ...
We introduce new strategies to reduce the circuit depth for the implementation of UCC and improve the optimization of the wavefunction based on efficient classical approximations of the cluster amplitudes ...
We point out that our formulation of the analytical gradient can be adapted to other algorithms that employ a quantum-classical hybrid scheme such as the quantum approximate optimization algorithm [82 ...
doi:10.1088/2058-9565/aad3e4
fatcat:wu4gqdyshfgf5mtxr6irsvn7za
Q^2Chemistry: A quantum computation platform for quantum chemistry
[article]
2022
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
In this article, we present a versatile, extensible, and efficient software package, named Q^2Chemistry, for developing quantum algorithms and quantum inspired classical algorithms in the field of quantum ...
In Q^2Chemistry, wave function and Hamiltonian can be conveniently mapped into the qubit space, then quantum circuits can be generated according to a specific quantum algorithm already implemented in the ...
Acknowledgement This work was partially supported by the NSFC (21825302), by the Fundamental Research Funds for the Central Universities (WK2060000018), by National Supercomputing Center in Jinan, and ...
arXiv:2208.10978v1
fatcat:io3g22zl55debnkvvcsco4vq3y
QPanda: high-performance quantum computing framework for multiple application scenarios
[article]
2022
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2023; you can also visit the original URL.
The file type is application/pdf.
With the birth of Noisy Intermediate Scale Quantum (NISQ) devices and the verification of "quantum supremacy" in random number sampling and boson sampling, more and more fields hope to use quantum computers ...
This framework implements high-performance simulation of quantum circuits, a configuration of the fusion processing backend of quantum computers and supercomputers, and compilation and optimization methods ...
In the simulation of quantum circuits, there are many high-performance optimization ideas, such as the parallelism of quantum gate computation, complex operation in quantum states or gates, and optimal ...
arXiv:2212.14201v1
fatcat:ribdhlv2fvhspg4d26vr4hgdb4
Software for Massively Parallel Quantum Computing
[article]
2022
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Other Versions
Recent advances in quantum computing hardware and algorithms have enabled a class of classically parallel quantum workloads, whereby individual quantum circuits can execute independently on many quantum ...
Here, we present the full-stack software framework developed at Quantum Brilliance to enable multi-modal parallelism for hybrid quantum workloads. ...
Acknowledgement This research used resources of the Pawsey Supercomputing Centre, which is supported by the Australian Government under the National Collaborative Re- ...
arXiv:2211.13355v2
fatcat:wxggdbfocbahnpvczngi7qiirq
Intel Quantum Simulator: A cloud-ready high-performance simulator of quantum circuits
[article]
2020
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Other Versions
Classical simulation of quantum computers will continue to play an essential role in the progress of quantum information science, both for numerical studies of quantum algorithms and for modeling noise ...
Finally, we use IQS to emulate a scenario in which many quantum devices are running in parallel to implement the quantum approximate optimization algorithm, using particle swarm optimization as the classical ...
ACKNOWLEDGMENTS The authors thank Aastha Grover who helped in releasing Intel Quantum Simulator open source at https: //github.com/iqusoft/intel-qs. ...
arXiv:2001.10554v2
fatcat:d5dhr4tedjdqngmoos67i2r4aa
Classically Optimal Variational Quantum Algorithms
2021
IEEE Transactions on Quantum Engineering
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Hybrid quantum-classical algorithms, such as variational quantum algorithms (VQA), are suitable for implementation on NISQ computers. ...
In VQA there is a trade-off between quality of solution and difficulty of circuit construction and optimization. ...
In practice, any classical algorithm could integrate a similar scheme by running multiple algorithms in parallel and choosing the more optimal result, or use additional classical algorithms to improve ...
doi:10.1109/tqe.2021.3122568
fatcat:mr4njy37f5h7rhwxurods6uequ
Addressing hard classical problems with Adiabatically Assisted Variational Quantum Eigensolvers
[article]
2018
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
We present a hybrid classical-quantum algorithm to solve optimization problems in current quantum computers, whose basic idea is to assist variational quantum eigensolvers (VQE) with adiabatic change of ...
The rational for this new algorithm is to circumvent the problem of facing very small gradients in the classical optimization piece of a VQE, while being able to run in current hardware efficient devices ...
This is reflected both in the quantum circuits we optimize, and in the classical numerical methods currently used. ...
arXiv:1806.02287v1
fatcat:qf6etcbxzzbglb34q5fvzhjhgy
Classically optimal variational quantum algorithms
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Hybrid quantum-classical algorithms, such as variational quantum algorithms (VQA), are suitable for implementation on NISQ computers. ...
In VQA there is a trade-off between quality of solution and difficulty of circuit construction and optimization. ...
In practice, any classical algorithm could integrate a similar scheme by running multiple algorithms in parallel and choosing the more optimal result, or use additional classical algorithms to improve ...
arXiv:2103.17065v1
fatcat:ydwtummegbgpzjvojw5r76wste
Accelerating the variational quantum eigensolver using parallelism
[article]
2022
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
We run two-qubit circuits in parallel to solve a simple instance of the Hubbard model using the variational quantum eigensolver. ...
We present results for running up to 33 circuits in parallel (66 qubits), showing that with the use of error mitigation techniques it is possible to make use of, and gain a real-time speedup from, parallelisation ...
Noisy intermediate-scale quantum (NISQ) algorithms and hybrid quantum-classical algorithms such as the variational quantum eigensolver (VQE) naturally lend themselves to parallelism, and are natural test ...
arXiv:2209.03796v1
fatcat:uddczean6rgwde3gbwe3t367pi
Asynchronous training of quantum reinforcement learning
[article]
2023
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2023; you can also visit the original URL.
The file type is application/pdf.
It has been demonstrated that classical RL can successfully complete many difficult tasks. A leading method of building quantum RL agents relies on the variational quantum circuits (VQC). ...
In this paper, we approach this challenge through asynchronous training QRL agents. Specifically, we choose the asynchronous training of advantage actor-critic variational quantum policies. ...
Hybrid algorithms that utilize variational quantum circuits (VQC) have proven to be effective in a variety of machine learning tasks. ...
arXiv:2301.05096v1
fatcat:q57awufvbngabgh5z2o3eyv6s4
Solving partial differential equations on near-term quantum computers
[article]
2022
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Due to the exponential cost of simulating quantum algorithms, a reduced number of qubits had to be used in the simulations, causing a loss of precision in the results. ...
In this work, we obtain the numerical temperature field to a thermally developing fluid flow inside parallel plates problem with a quantum computing method. ...
Acknowledgements to the Supercomputing Center for Industrial Innovation (CS2i), the Reference Center for Artificial Intelligence (CRIA), and the Latin American Quantum Computing Center (LAQCC), all from ...
arXiv:2208.05805v1
fatcat:b6dlfhjyrbb2xbjbzktmciceby
Strategies for quantum computing molecular energies using the unitary coupled cluster ansatz
[article]
2018
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2017 pre-print arXiv:1701.02691v1 fatcat:5kr6td4bwzabbo4gfoqjjym3iu
The variational quantum eigensolver (VQE) algorithm combines the ability of quantum computers to efficiently compute expectation values with a classical optimization routine in order to approximate ground ...
We introduce new strategies to reduce the circuit depth for the implementation of UCC and improve the optimization of the wavefunction based on efficient classical approximations of the cluster amplitudes ...
The second subroutine consists of an optimization algorithm running on a classical computer. ...
arXiv:1701.02691v2
fatcat:n77x46iy45f4jgpzg5eujf7cqm
An adaptive variational algorithm for exact molecular simulations on a quantum computer
2019
Nature Communications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
The variational quantum eigensolver, a leading algorithm for molecular simulations on quantum hardware, has a serious limitation in that it typically relies on a pre-selected wavefunction ansatz that results ...
We present numerical simulations, including for a prototypical strongly correlated molecule, which show that our algorithm performs much better than a unitary coupled cluster approach, in terms of both ...
In this paper, we presented ADAPT-VQE, a novel variational hybrid quantum-classical algorithm designed to achieve exact results at convergence. ...
doi:10.1038/s41467-019-10988-2
pmid:31285433
pmcid:PMC6614426
fatcat:wwmlp5ustvb3la6n3xjfmkxg3q
« Previous
Showing results 1 — 15 out of 22,648 results