Photon Enhanced Interaction and Entanglement in Semiconductor Position-Based Qubits

Abstract

CMOS technologies facilitate the possibility of implementing quantum logic in silicon. In this work, we discuss a minimalistic modelling of entangled photon communication in semiconductor qubits. We demonstrate that electrostatic actuation is sufficient to construct and control desired potential energy profiles along a Si quantum dot (QD) structure allowing the formation of position-based qubits. We further discuss a basic mathematical formalism to define the position-based qubits and their evolution under the presence of external driving fields. Then, based on Jaynes-Cummings-Hubbard formalism, we expand the model to include the description of the position-based qubits involving four energy states coupled with a cavity. We proceed with showing an anti-correlation between the various quantum states. Moreover, we simulate an example of a quantum trajectory as a result of transitions between the quantum states and we plot the emitted/absorbed photos in the system with time. Lastly, we examine the system of two coupled position-based qubits via a waveguide. We demonstrate a mechanism to achieve a dynamic interchange of information between these qubits over larger distances, exploiting both an electrostatic actuation/control of qubits and their photon communication. We define the entanglement entropy between two qubits and we find that their quantum states are in principle entangled.

Simulation Methodology for Electron Transfer in CMOS Quantum Dots

“…In this section, we will introduce the tight binding formalism. This will allow one to capture the time dependent dynamics assuming an ideal quantum transport in the quantum structure (register) and can be easily extended to multi-particle and multi-energy level systems [5,9]. We use this approach for additional verification of the SOM modelling.…”

Optical measurement of double-dot population using photon transmission via three coupled microresonators

“…There are two ways to construct such guiding interface. One way is to exploit semiconductor [36][37][38] and superconductor [39,40] monolithic beam or fiber waveguides which support a collection of resonant eigenmodes. Second way makes use of structured waveguides also known as photonic molecules (PMs) or photonic isomers composed of a chain of MRs coupled by nearestneighboring photonic tunneling [27,41,42].…”

Special Issue on “Optics for AI and AI for Optics”

“…Generating, transmitting, and recovering such high-volume data requires advanced signal processing and networking technologies with high performance and cost-and-power efficiency. AI is especially useful for optimization and performance prediction for systems that exhibit complex behaviors [6][7][8][9][10][11][12][13][14][15][16][17][18][19][20]. In this aspect, traditional signal processing algorithms may not be as efficient as AI algorithms.…”

“…The Special Issue is launched to bring optics and AI together to address the challenges that each face, which are difficult to address alone. There are 12 selected contributions for the special session, representing the fascinating progress in the combined area of optics and AI, ranging from photonic neural network (NN) architecture [5] to AI-enabled advances in optical communications including both physical layer transceiver signal processing [10][11][12][13][14][15][16][17] and network layer performance monitoring [18,19], as well as the potential role of AI in quantum communications [20].…”

“…AI for quantum communications: Finally, the book also includes an interesting work from Panagiotis Giounanlis et al on photon entanglement [20], where how AI plays a constructive role remains a question for the interested readers to think about.…”