Q-Map: Quantum Circuit Implementation of Boolean Functions

• URL: http://arxiv.org/abs/2303.00075v2
• Date: Thu, 3 Aug 2023 17:02:26 GMT
• Title: Q-Map: Quantum Circuit Implementation of Boolean Functions
• Authors: Hassan Hajjdiab, Ashraf Khalil, Hichem Eleuch
• Abstract summary: Development of quantum techniques and algorithms is essential to exploit the full power of quantum computers. We propose a simple visual technique (we call Q-Map) for quantum realisation of classical logic circuits.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Quantum computing has gained attention in recent years due to the significant progress in quantum computing technology. Today many companies like IBM, Google and Microsoft have developed quantum computers and simulators for research and commercial use. The development of quantum techniques and algorithms is essential to exploit the full power of quantum computers. In this paper we propose a simple visual technique (we call Q-Map) for quantum realisation of classical Boolean logic circuits. The proposed method utilises concepts from Boolean algebra to produce a quantum circuit with minimal number of quantum gates.

Related papers

• 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)
• Programming with Quantum Mechanics [0.7219077740523683]
  Quantum computing is an emerging paradigm that opens a new era for exponential computational speedup. This tutorial gives a broad view of quantum computing, abstracting most of the mathematical formalism and proposing a hands-on with the quantum programming language Ket.
  arXiv  Detail & Related papers  (2022-10-27T14:38:42Z)
• 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)
• Quantum Netlist Compiler (QNC) [0.0]
  We introduce the Quantum Netlist Compiler (QNC) that converts arbitrary unitary operators or desired initial states of quantum algorithms to OpenQASM-2.0 circuits. The results show that QNC is well suited for quantum circuit optimization and produces circuits with competitive success rates in practice.
  arXiv  Detail & Related papers  (2022-09-02T05:00:38Z)
• Quantum Proof of Work with Parametrized Quantum Circuits [0.0]
  There is still a dearth of practical applications for quantum computers with a small number of noisy qubits. We proposed a scheme for quantum-computer compatible proof of work (cryptographic mechanism used in Bitcoin mining) and verified it on a 4-qubit superconducting quantum node.
  arXiv  Detail & Related papers  (2022-04-22T11:26:16Z)
• 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)
• Qsun: an open-source platform towards practical quantum machine learning applications [0.0]
  This paper introduces our quantum virtual machine named Qsun, whose operation is underlined by quantum state wave-functions. We then report two tests representative of quantum machine learning: quantum linear regression and quantum neural network.
  arXiv  Detail & Related papers  (2021-07-22T09:37:31Z)
• 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)
• Quantum walk processes in quantum devices [55.41644538483948]
  We study how to represent quantum walk on a graph as a quantum circuit. Our approach paves way for the efficient implementation of quantum walks algorithms on quantum computers.
  arXiv  Detail & Related papers  (2020-12-28T18:04:16Z)
• Electronic structure with direct diagonalization on a D-Wave quantum annealer [62.997667081978825]
  This work implements the general Quantum Annealer Eigensolver (QAE) algorithm to solve the molecular electronic Hamiltonian eigenvalue-eigenvector problem on a D-Wave 2000Q quantum annealer. We demonstrate the use of D-Wave hardware for obtaining ground and electronically excited states across a variety of small molecular systems.
  arXiv  Detail & Related papers  (2020-09-02T22:46:47Z)

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.