A5052153523- Quantum Information and Cryptography
- Quantum Computing Algorithms and Architecture
- Neural Networks and Reservoir Computing
- Quantum Mechanics and Applications
- Semiconductor Quantum Structures and Devices
- Advancements in Semiconductor Devices and Circuit Design
- Advanced Fluorescence Microscopy Techniques
- Quantum and electron transport phenomena
- Orbital Angular Momentum in Optics
- Optical Network Technologies
University of Maryland, College Park
2023-2024
Peking University
2023
Joint Center for Quantum Information and Computer Science
2023
Abstract Graphs have provided an expressive mathematical tool to model quantum-mechanical devices and systems. In particular, it has been recently discovered that graph theory can be used describe design quantum components, devices, setups systems, based on the two-dimensional lattice of parametric nonlinear optical crystals linear circuits, different standard photonic framework. Realizing such graph-theoretical hardware, however, remains extremely challenging experimentally using...
Quantum reservoir computing (QRC) has been proposed as a paradigm for performing machine learning with quantum processors where the training takes place in classical domain, avoiding issue of barren plateaus parameterized-circuit neural networks. It is natural to consider using processor based on microwave superconducting circuits classify signals that are analog-continuous time. However, while there have theoretical proposals analog QRC, date QRC implemented circuit model-imposing...
We demonstrate the capability of graph theory scheme to realize complex multiphoton multidimensional state. show generation quantum states based on was realized by reconfigurable integrated chip. The 4-photon 3-dimensional GHZ state generated and verified manipulated for first time.
Achieving noise resilience is an outstanding challenge in Hamiltonian-based quantum computation. To this end, energy-gap protection provides a promising approach, where the desired dynamics are encoded into ground space of penalty Hamiltonian that suppresses unwanted processes. However, existing approaches either explicitly require high-weight terms not directly accessible current hardware, or utilize non-commuting $2$-local Hamiltonians, which typically leads to exponentially small energy...
Distributed quantum sensing network has the potential of enhancing precision in estimating a global function local parameters by utilizing an entangled probe, compared with that achieved separable probes. This advantage is often characterized as quadratic improvement Cramér-Rao bound (QCRB). argument incomplete QCRB assumes team all-powerful sensors can perform arbitrary joint measurements allowed mechanics. An immediate question arises to whether such persists for isolated physically...
Quantum reservoir computing (QRC) has been proposed as a paradigm for performing machine learning with quantum processors where the training is efficient in number of required runs processor and takes place classical domain, avoiding issue barren plateaus parameterized-circuit neural networks. It natural to consider using based on superconducting circuits classify microwave signals that are analog -- continuous time. However, while theoretical proposals QRC exist, date implemented...