Lab Interview:
Quantum Trailblazers: NarangLab’s Pursuit
Technology Portfolio:
Contracted Quantum Eigensolver for Excited States (Quantum Algorithm) (Case No. 2023-180)
Prineha Narang and her team have developed a new quantum algorithm for calculating the excited states using a contracted quantum eigensolver (ES-CQE). ES-CQE uses a contraction of the Schrödinger equation to arrive at a final algorithm which is used to calculate energy states. The algorithm has been used for calculations of molecular orbitals of a rectangular system and can be expanded to other symmetrical cases. This system offers improved speed and accuracy compared to existing methods. The reported technology is as accurate as the Full Configuration Interaction (FCI), which is a computationally expensive but highly precise method for solving electronic structure problems. This algorithm can advance the field of quantum computing by providing accurate and efficient excited state calculations. Related Papers: Smart, S. E., Welakuh, D. M., Narang, P. Many-Body Excited States with a Contracted Quantum Eigensolver. arXiv:2305.09653 [quant-ph]. https://arxiv.org/abs/2305.09653
Quantum Cross-Resonator Spectrometer (Case No. 2023-181)
Researchers Prof. Prineha Narang, Dr. Ioannis Petrides and Dr. Jonathan Curtis have developed a novel method of probing the complex dielectric function. This method uses the coupling of photonic modes to establish a connection between the projective measurement of photon occupation and the quantum metric which characterizes the space of the states and is directly determined by the dielectric function. The proposed quantum protocol uses a minimum number of sample points to maximize the accuracy of the projective measurement and minimize the experimental uncertainty. This method is applicable across a broad spectrum of experimental platforms, including in the optical, and microwave regimes. Related Papers: https://doi.org/10.48550/arXiv.2310.16174
Molecular Quantum Random Access Memory (Case No. 2023-182)
Professors Prineha Narang and Paul Weiss have engineered a quantum information system through self-assembly of chiral molecules, demonstrating the potential for room-temperature functionality and scalability compared to existing qRAM technologies. This innovative molecular qRAM device comprises a single layer of chiral molecules on a solid-state substrate, forming a sandwich structure, and utilizes chirality-induced spin selectivity (CISS). By harnessing the CISS phenomenon, these molecules or materials can selectively transport electrons with specific spin orientations, presenting a unique avenue for spin generation and control. The experimental demonstration of the CISS effect at room temperature indicates the device's capability to operate at elevated temperatures, surpassing the current limitations of existing qRAM technologies. Its self-assembly process and straightforward fabrication allow for scalability to larger sizes. Furthermore, the inherent tunability and flexibility of individual quantum states through chemical synthesis enable precise manipulation of qubits. Additionally, the molecular system shows promise as long-range quantum information transducers and for other applications, opening pathways for advanced quantum communication and processing technologies. Related Papers: Liu Tianhan, and Paul S. Weiss. "Spin Polarization in Transport Studies of Chirality-Induced Spin Selectivity." ACS nano 17.20 (2023): 19502-19507. https://pubs.acs.org/doi/10.1021/acsnano.3c06133
Simulation of Open Quantum Systems via Low-Depth Convex Unitary Evolutions (Case No. 2023-183)
This method simplifies the process by breaking down the representation of the quantum state in a straightforward manner. Their approach has several benefits. First, it doesn't rely on complex frameworks, which helps to reduce errors and makes the calculations simpler. Second, they've found a clever way to make the simulations more efficient by adding a random sampling technique directly into the hardware. This means they can run simulations faster and handle larger quantum systems without overwhelming the computer. One tricky thing about simulating quantum systems is that they can grow very quickly in complexity. However, the UCLA team has found a workaround. They limit the number of simulations they need to run by using a specific number of sample circuits. This helps to manage the computational challenges and keeps the simulations from becoming too overwhelming. Related Papers: Joseph Peetz, Scott E. Smart, Spyros Tserkis, Prineha Narang, Simulation of Open Quantum Systems via Low-Depth Convex Unitary Evolutions, July 2023