Evaluation of highly entangled states in asymmetrically coupled three NV centers by quantum simulator

Abstract

Despite numerous efforts the coupling between randomly arranged multi-NV centers and also resonators has not been improved significantly mainly due to our limited knowledge of their entanglement times (2ent). Here, we demonstrate a very strong coupling between three-NV centers by using a simulated triple electron-electron resonance experiment based on a new quantum (UC) gate on IBM quantum simulator with 2ent ~12.5 𝜇s arranged is a triangular configuration. Interestingly through breaking the symmetry of couplings an even lower 2ent ~6.3 𝜇𝑠 can be achieved. This simulation not only explains the luminescence spectra in recently observed three-NV centers [Haruyama, Nat. Commun. 2019] but also shows a large improvement of the entanglement in artificially created structures through a cyclic redistribution of couplings. Realistically disordered coupling configurations of NV centers qubits with short time periods and high (0.89-0.99) fidelity of states clearly demonstrate possibility of accurate quantum registers operated at room temperature.

Quantum Computing and Simulations for Energy Applications: Review and Perspective

“…15,295−298 One emerging application of quantum computational techniques is the optimization of sensing platforms. 299,300 Quantum simulation may also be used to improve the performance of quantum sensing technologies; for example, a quantum simulator has been used to gain new insights into the entanglement between nitrogen vacancy centers in diamond, 301 which is a widely used material for quantum sensing applications. 15,302,303 Additionally, quantum machine learning techniques have shown promise for image classification in remote sensing applications.…”

“…High-performance sensors are also required throughout the energy sector, for applications such as pipeline integrity, greenhouse gas monitoring, resource discovery, and grid monitoring, among others. ,− One emerging application of quantum computational techniques is the optimization of sensing platforms. , Quantum simulation may also be used to improve the performance of quantum sensing technologies; for example, a quantum simulator has been used to gain new insights into the entanglement between nitrogen vacancy centers in diamond, which is a widely used material for quantum sensing applications. ,, Additionally, quantum machine learning techniques have shown promise for image classification in remote sensing applications. , Simulating material properties and performance is also crucial for sensor design; for example, complex systems such as MOFs are widely used for the sensitive detection of gases and ions . Thus, the design and optimization of next-generation sensing technologies and materials is an additional area in which quantum computers can significantly benefit the energy sector.…”

Demonstration of the Holonomically Controlled Non-Abelian Geometric Phase in a Three-Qubit System of a Nitrogen Vacancy Center

“…In our previous report, we demonstrated a quantum simulation of two levels of an NV center by an IBM QE [ 24 ]. Recently, we also showed three qubits connected by three coupling parameters without considering any geometric phase [ 25 ]. In this work, we demonstrate the holonomic control of three coupled qubits in addition to the replication of some well-known results which provide a solid foundation for simulating holonomic control of NV-centers using IBM QE (see References [ 10 , 11 ] and Supplementary information ).…”

Creation of multiple NV centers by phthalocyanine ion implantation

“…[1][2][3][4] The other is the scheme that uses dipole-dipole interactions among the electron spins of the NV center array. [5][6][7][8] These schemes have further spaces for scaling up the quantum register at room temperature. For the latter case, the NV centers need to be created as close as possible, because the dipole coupling strength decreases with an increase in the separation distance.…”