Efficient Implementation of a Quantum Algorithm in a Single Nitrogen-Vacancy Center of Diamond
At a Glance
Section titled âAt a Glanceâ| Metadata | Details |
|---|---|
| Publication Date | 2020-07-14 |
| Journal | Physical Review Letters |
| Authors | Jingfu Zhang, Swathi S. Hegde, Dieter Suter |
| Institutions | TU Dortmund University |
| Citations | 54 |
| Analysis | Full AI Review Included |
Executive Summary
Section titled âExecutive SummaryâThis research demonstrates the highly efficient implementation of Groverâs quantum search algorithm within a single Nitrogen Vacancy (NV) center in diamond, utilizing a hybrid 2-qubit register.
- High Control Efficiency: The entire quantum search was implemented using only 4 Microwave (MW) pulses, a significant reduction in control cost compared to previous methods.
- Indirect Control Success: Gate operations targeting the nuclear spin (the slower qubit) were achieved solely through MW pulses applied to the electron spin, leveraging anisotropic hyperfine interaction and free precession. This avoids slow radio-frequency (RF) control.
- Quantum Speedup Demonstrated: The experiment achieved target state populations ranging from 0.76 to 0.87, confirming the quadratic speedup of Groverâs algorithm over the classical search probability (0.25).
- High Fidelity: A final state fidelity of F|11) = 0.85 ± 0.03 was measured at room temperature, validating the effectiveness of the Optimal Control (OC) pulse sequences.
- Scalability Confirmed: Numerical simulations show that the indirect control scheme is scalable up to 5 qubits (1 electron + 4 13C nuclear spins), with CNOT-like gate durations remaining short (16-18 ”s).
- Robustness: Pulse sequences were optimized using a genetic algorithm to be robust against observed fluctuations in the MW Rabi frequency (up to 0.03 MHz variation).
Technical Specifications
Section titled âTechnical Specificationsâ| Parameter | Value | Unit | Context |
|---|---|---|---|
| Qubit System | Hybrid 2-Qubit | N/A | Electron spin (Qubit 1) and 13C nuclear spin (Qubit 2). |
| Diamond Purity (12C) | 99.995 | % | Used to minimize decoherence effects. |
| Substitutional Nitrogen | < 10 | ppb | Used to minimize decoherence effects. |
| Operating Temperature | Room | Temperature | Experiment performed without cryogenic cooling. |
| Static Magnetic Field (B) | 14.8 | mT | Aligned along the NV symmetry axis (z-axis). |
| Zero-Field Splitting (D) | 2.87 | GHz | Electron spin property. |
| 13C Hyperfine (Azz) | -0.152 | MHz | Relevant tensor component. |
| 13C Hyperfine (Azx) | 0.110 | MHz | Relevant tensor component. |
| Control Pulses (Search) | 4 | MW pulses | Total required for the complete Groverâs search operation. |
| Target State Population | 0.76 to 0.87 | (Probability) | Experimental success probability across four target states. |
| Final State Fidelity (F|11)) | 0.85 ± 0.03 | (Unitless) | Measured fidelity after search completion. |
| Electron Spin T2* | ~35 | ”s | Measured from ESR Free Induction Decay (FID). |
| Electron Spin T2 (DD) | ~1 | ms | Measured using dynamical decoupling sequence. |
| 5-Qubit CNOT Duration | 16 - 18 | ”s | Simulated gate duration for 1 electron + 4 13C spins. |
| MW Rabi Frequency (w1/2Ï) | 0.48 to 0.52 | MHz | Range used for robust pulse sequence optimization. |
Key Methodologies
Section titled âKey MethodologiesâThe experiment relied on a combination of optical, microwave, and computational control techniques to achieve high-fidelity quantum algorithm implementation:
- NV Center Setup: A home-built confocal microscope was used for optical addressing. A 532 nm continuous wave laser (0.5 mW) was used for initialization and detection.
- Qubit Initialization: The electron spin was initialized into the ms = 0 state using a 4 ”s laser pulse. The 13C nuclear spin was subsequently polarized using a combination of MW and laser pulses to achieve the pure state |00).
- Indirect Quantum Control: All necessary unitary operations (including the Oracle and Diffusion steps) were implemented using only rectangular MW pulses resonant with the electron spin transitions (ms = 0 â ms = -1).
- Optimal Control (OC) Theory: A genetic algorithm was employed to optimize the pulse sequence parameters (durations, phases, and delays) to maximize the theoretical fidelity (Fg) between the generated operation (U) and the target unitary operation (Utarget).
- Robustness Optimization: The OC optimization was performed over a range of Rabi frequencies (0.48-0.52 MHz) to ensure the resulting pulse sequences were robust against experimental fluctuations in MW power.
- State Measurement: Quantum State Tomography (QST) was performed on the output state (|Κ)out) to reconstruct the full density matrix (Ïexp) and determine the final populations and fidelities.
- Scalability Simulation: Numerical simulations were conducted by generalizing the Hamiltonian to include up to four additional 13C nuclear spins, demonstrating the feasibility of controlled-Rz(Ï) gates in larger hybrid systems.
Commercial Applications
Section titled âCommercial ApplicationsâThe demonstrated technology, focusing on efficient quantum control in solid-state NV centers, has direct implications for several high-tech sectors:
- Solid-State Quantum Computing: NV centers serve as leading candidates for room-temperature quantum processors, particularly for hybrid architectures combining fast electron qubits and long-coherence nuclear qubits.
- Quantum Algorithm Acceleration: The successful implementation of Groverâs search validates the use of NV systems for accelerating computationally hard problems, such as database searching, machine learning optimization, and logistics planning.
- High-Fidelity Quantum Control Systems: The use of Optimal Control (OC) theory provides a blueprint for designing highly efficient and robust pulse sequences, applicable to controlling other solid-state qubits (e.g., silicon carbide defects, superconducting circuits).
- Quantum Sensing and Metrology: The underlying NV platform, characterized by long nuclear spin coherence, is critical for developing ultra-sensitive quantum sensors for magnetic fields, temperature, and pressure.
- Advanced Diamond Materials: The requirement for ultra-high purity diamond (99.995% 12C, low nitrogen) drives demand for specialized material fabrication techniques necessary for next-generation quantum hardware.
View Original Abstract
Quantum computers have the potential to speed up certain problems that are hard for classical computers. Hybrid systems, such as the nitrogen-vacancy (NV) center in diamond, are among the most promising systems to implement quantum computing, provided the control of the different types of qubits can be efficiently implemented. In the case of the NV center, the anisotropic hyperfine interaction allows one to control the nuclear spins indirectly, through gate operations targeting the electron spin, combined with free precession. Here, we demonstrate that this approach allows one to implement a full quantum algorithm, using the example of Groverâs quantum search in a single NV center, whose electron is coupled to a carbon nuclear spin.
Tech Support
Section titled âTech SupportâOriginal Source
Section titled âOriginal SourceâReferences
Section titled âReferencesâ- 2000 - Quantum Computation and Quantum Information
- 2008 - Quantum Computing: A Short Course from Theory to Experiment