Thanks to the light-induced collective oscillations of free charges at the boundary between a conducting material and a dielectric, known as surface plasmon resonance, metallic nanostructures can exhibit strong light absorption and scattering. The sensitivity of these resonances to the local environment and shape of the metallic structures allows them to be used, for example, in chemical sensing and cancer therapy. Semiconductor and metal-oxide nanoparticles expand possible wavelengths of surface plasmon resonances into the infrared spectrum and can possibly allow for coupling of the surface plasmon resonances of the nanoparticle, which are of classical nature, to the particle’s semiconductor band structure, which arises from quantum states of the charge carriers. These charge carriers are the electron-hole pairs known as excitons in the semiconductor.
We have recently developed a new method to produce doped transparent-metal-oxide plasmonic nanocrystals and used these to demonstrate for the first time a plasmon-exciton coupling in any plasmonic semiconductor system. Our goal in this project is to further explore the plasmon-exciton coupling in semiconductor and metal-oxide nanostructures and to develop methods to use this coupling for plasmon control of the quantum states of single defects and for their entanglement. We expect this will open the door for these systems to be deployed in quantum sensing and computing applications. In particular, we believe our studies will lead to the design of inexpensive and highly sensitive magneto-optical sensors for thermal imaging and molecular sensing.
Developing Tools for Quantum Characterization and Validation
Summary Coherence is essential for quantum computation; yet it introduces a unique sensitivity to any imperfections in hardware design, control systems, and the operating environment. Overcoming these sensitivities requires a hierarchy of strategies, ranging from optimization of the hardware architecture to software solutions including quantum error correction. Randomized Benchmarking Protocols are an important family of […]
October 3, 2017
Composite Superconductors for Improved Quantum Coherence
Summary Conventional superconductors have trouble performing well in magnetic fields required for electron spin resonance (ESR) – based quantum information processing applications. We can, however, use proximity engineering to select desired properties from different materials and combine them for improved superconducting performance in magnetic fields — an improvement that would have strong implications for […]
December 12, 2018
Quantum State Tomography with Machine Learning
Summary An important challenge in building a quantum computer is quantifying the level of control obtained in the preparation of a quantum state. The state of a quantum device is characterized from experimental measurements, using a procedure known as tomography. Exact tomography requires a vast amount of computer resources, making it prohibitive for quantum […]
June 6, 2018
Quantum Computational Resources in the Presence of Symmetry
Summary Fault-tolerance is essential to the performance of quantum technologies, but known schemes are extremely resource intensive. Thus, improving existing schemes or inventing new schemes is of central importance. This joint project is based on the realization that fault-tolerance schemes make use of symmetries in fundamental ways, and that studying the problem of fault tolerance […]
March 13, 2019