QuantumSkynet: A High-Dimensional Quantum Computing Simulator
- URL: http://arxiv.org/abs/2106.15833v1
- Date: Wed, 30 Jun 2021 06:28:18 GMT
- Title: QuantumSkynet: A High-Dimensional Quantum Computing Simulator
- Authors: Andres Giraldo-Carvajal, Daniel A. Duque-Ramirez, Jose A.
Jaramillo-Villegas
- Abstract summary: Current implementations of quantum computing simulators are limited to two-level quantum systems.
Recent advances in high-dimensional quantum computing systems have demonstrated the viability of working with multi-level superposition and entanglement.
We introduce QuantumSkynet, a novel high-dimensional cloud-based quantum computing simulator.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: The use of classical computers to simulate quantum computing has been
successful in aiding the study of quantum algorithms and circuits that are too
complex to examine analytically. Current implementations of quantum computing
simulators are limited to two-level quantum systems. Recent advances in
high-dimensional quantum computing systems have demonstrated the viability of
working with multi-level superposition and entanglement. These advances allow
an agile increase in the number of dimensions of the system while maintaining
quantum entanglement, achieving higher encoding of information and making
quantum algorithms less vulnerable to decoherence and computational errors. In
this paper, we introduce QuantumSkynet, a novel high-dimensional cloud-based
quantum computing simulator. This platform allows simulations of qudit-based
quantum algorithms. We also propose a unified generalization of
high-dimensional quantum gates, which are available for simulations in
QuantumSkynet. Finally, we report simulations and their results for qudit-based
versions of the Deutsch--Jozsa and quantum phase estimation algorithms using
QuantumSkynet.
Related papers
- Scalable Quantum Algorithms for Noisy Quantum Computers [0.0]
This thesis develops two main techniques to reduce the quantum computational resource requirements.
The aim is to scale up application sizes on current quantum processors.
While the main focus of application for our algorithms is the simulation of quantum systems, the developed subroutines can further be utilized in the fields of optimization or machine learning.
arXiv Detail & Related papers (2024-03-01T19:36:35Z) - Adaptive variational simulation for open quantum systems [0.25602836891933073]
We present an adaptive variational quantum algorithm for simulating open quantum system dynamics.
Our results demonstrate that near-future quantum processors are capable of simulating open quantum systems.
arXiv Detail & Related papers (2023-05-11T16:00:13Z) - Quantum Machine Learning: from physics to software engineering [58.720142291102135]
We show how classical machine learning approach can help improve the facilities of quantum computers.
We discuss how quantum algorithms and quantum computers may be useful for solving classical machine learning tasks.
arXiv Detail & Related papers (2023-01-04T23:37:45Z) - Optimal Stochastic Resource Allocation for Distributed Quantum Computing [50.809738453571015]
We propose a resource allocation scheme for distributed quantum computing (DQC) based on programming to minimize the total deployment cost for quantum resources.
The evaluation demonstrates the effectiveness and ability of the proposed scheme to balance the utilization of quantum computers and on-demand quantum computers.
arXiv Detail & Related papers (2022-09-16T02:37:32Z) - Scalable Simulation of Quantum Measurement Process with Quantum
Computers [13.14263204660076]
We propose qubit models to emulate the quantum measurement process.
One model is motivated by single-photon detection and the other by spin measurement.
We generate Schr"odinger cat-like state, and their corresponding quantum circuits are shown explicitly.
arXiv Detail & Related papers (2022-06-28T14:21:43Z) - Recompilation-enhanced simulation of electron-phonon dynamics on IBM
Quantum computers [62.997667081978825]
We consider the absolute resource cost for gate-based quantum simulation of small electron-phonon systems.
We perform experiments on IBM quantum hardware for both weak and strong electron-phonon coupling.
Despite significant device noise, through the use of approximate circuit recompilation we obtain electron-phonon dynamics on current quantum computers comparable to exact diagonalisation.
arXiv Detail & Related papers (2022-02-16T19:00:00Z) - Variational Quantum Anomaly Detection: Unsupervised mapping of phase
diagrams on a physical quantum computer [0.0]
We propose variational quantum anomaly detection, an unsupervised quantum machine learning algorithm to analyze quantum data from quantum simulation.
The algorithm is used to extract the phase diagram of a system with no prior physical knowledge.
We show that it can be used with readily accessible devices nowadays and perform the algorithm on a real quantum computer.
arXiv Detail & Related papers (2021-06-15T06:54:47Z) - Tensor Network Quantum Virtual Machine for Simulating Quantum Circuits
at Exascale [57.84751206630535]
We present a modernized version of the Quantum Virtual Machine (TNQVM) which serves as a quantum circuit simulation backend in the e-scale ACCelerator (XACC) framework.
The new version is based on the general purpose, scalable network processing library, ExaTN, and provides multiple quantum circuit simulators.
By combining the portable XACC quantum processors and the scalable ExaTN backend we introduce an end-to-end virtual development environment which can scale from laptops to future exascale platforms.
arXiv Detail & Related papers (2021-04-21T13:26:42Z) - Imaginary Time Propagation on a Quantum Chip [50.591267188664666]
Evolution in imaginary time is a prominent technique for finding the ground state of quantum many-body systems.
We propose an algorithm to implement imaginary time propagation on a quantum computer.
arXiv Detail & Related papers (2021-02-24T12:48:00Z) - An Application of Quantum Annealing Computing to Seismic Inversion [55.41644538483948]
We apply a quantum algorithm to a D-Wave quantum annealer to solve a small scale seismic inversions problem.
The accuracy achieved by the quantum computer is at least as good as that of the classical computer.
arXiv Detail & Related papers (2020-05-06T14:18:44Z) - Simulating quantum chemistry in the seniority-zero space on qubit-based
quantum computers [0.0]
We combine the so-called seniority-zero, or paired-electron, approximation of computational quantum chemistry with techniques for simulating molecular chemistry on gate-based quantum computers.
We show that using the freed-up quantum resources for increasing the basis set can lead to more accurate results and reductions in the necessary number of quantum computing runs.
arXiv Detail & Related papers (2020-01-31T19:44:37Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.