Plasmonic Quantum Computers

When the wavelength of physical entities, such as electrons and photons, approaches the size of the system, classical laws of physics, like Newton’s laws, prove inadequate in describing the states of these physical systems. In such scenarios, characterizing these systems necessitates the application of the Schrödinger equation—a cornerstone in the study of quantum physics.

In these quantum systems, the states are no longer exclusive, and the system’s state is expressed as a linear combination of states—a principle recognized in quantum mechanics as the superposition principle. Moreover, these specific physical systems exhibit a distinctive property called entanglement, a phenomenon not observable in classical physics. 

Leveraging these two characteristics of quantum systems can be employed to build computers that demonstrate incomparable speed compared to classical computers. For example, utilizing this approach can enable the rapid solution of intricate problems that would otherwise require ten thousand years of computation across hundreds of thousands of computers, all within a matter of minutes. 

Computers developed to harness these features are known as quantum computers, and they could be instrumental in addressing time-consuming and computationally intensive problems. This includes tasks such as designing new drugs, weather forecasting, artificial intelligence, space exploration, and cybersecurity, among others.

Plasmonic Quantum Processors

The existing noisy intermediate-scale quantum computers, constructed by companies like IBM, Google, and Microsoft, employ superconductor qubits as quantum processors. Superconductor qubits function at extremely low temperatures, nearing -273 ℃. This temperature constraint poses limitations on their scalability and integration with photonic technology. Furthermore, superconductor qubits have a maximum clock speed of up to 5 GHz, and addressing the error-correction challenge proves to be a formidable obstacle for this technology. Quantum photonic processors, leveraging plasmonic waves, hold the potential to overcome these substantial challenges.

Plasmonic quantum processors (PQPs) developed on single-layer quantum materials, such as graphene, offer several advantages over superconductor technology:

  • Operating at Room Temperature: PQPs operate at room temperature, providing a significant advantage over superconductor technology.

  • Increased Processing Speed: With a processing speed of 1000 GHz, PQPs are 200 times faster than their superconductor counterparts.

  • No Need for Error Correction: Unlike superconductors, PQPs do not require error correction, simplifying the computational process.

  • Seamless Integration with Optical Fiber Technology: PQPs can be easily integrated with optical fiber technology, enhancing their compatibility with existing communication systems.

  • Scalability: PQPs can easily scale to accommodate millions of qubits within a compact chip, positioning them as promising candidates for large-scale quantum computing applications.

We welcome inquiries, collaborations, and discussions related to quantum information and computing projects. Feel free to reach out to us for any questions or opportunities. We look forward to hearing from you and exploring the exciting possibilities in the quantum realm!