Experimental Adiabatic Quantum Factorization under Ambient Conditions Based on a Solid-State Single Spin System

Abstract

The adiabatic quantum computation is a universal and robust method of quantum computing. In this architecture, the problem can be solved by adiabatically evolving the quantum processor from the ground state of a simple initial Hamiltonian to that of a final one, which encodes the solution of the problem. By far, there is no experimental realization of adiabatic quantum computation on a single solid spin system under ambient conditions, which has been proved to be a compatible candidate for scalable quantum computation. In this letter, we report on the first experimental realization of an adiabatic quantum algorithm on a single solid spin system under ambient conditions. All elements of adiabatic quantum computation, including initial state preparation, adiabatic evolution, and final state readout, are realized experimentally. As an example, we factored 35 into its prime factors 5 and 7 on our adiabatic quantum processor.

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Cited by in corpus (14)

• Introduction to Quantum Optimal Control for Quantum Sensing with Nitrogen-Vacancy Centers in Diamond
• Noisy intermediate-scale quantum computers
• Digitized Adiabatic Quantum Factorization
• Breaking the quantum adiabatic speed limit by jumping along geodesics
• Dynamically Polarizing Spin Register of NV Centers in Diamond using Chopped Laser Pulses
• Exact search algorithm to factorize large biprimes and a triprime on IBM quantum computer
• Quantum state tomography of a single electron spin in diamond with Wigner reconstruction
• Optimisation of diamond quantum processors
• Experimental demonstration of adversarial examples in learning topological phases
• A hybrid scheme for prime factorization and its experimental implementation using IBM quantum processor
• Experimental implementation of precisely tailored light-matter interaction via inverse engineering
• Realization of Heisenberg models of spin systems with polar molecules in pendular states
• Entanglement Distribution in Star Network Based on Spin Chain in Diamond
• Hard instance learning for quantum adiabatic prime factorization