Harnessing biosystems for quantum information science
It is well known that architectures for quantum sensing and quantum information processing require exceptional isolation from sources of decoherence, including electromagnetic and thermal noise, by shielding and cooling. Could robust room-temperature alternatives be envisioned using biosystems that are optimized for certain quantum processes in warm, wet, and wiggly environments?
Toward scalable quantum computing with a mixed-species Ba-Yb ion chain
Abstract: Trapped ions are among the most promising candidates for quantum information processors based on their unique properties such as long coherence time, high fidelity state initialization, manipulation and detection. In order to scale up quantum information processors based on trapped ions, efficient sympathetic cooling between different atomic species is required. In this work, we investigate both numerically and experimentally linear harmonic trap parameters to efficiently doppler-cool radial modes of mixed-species Ba-Yb ion chain [1].
"Distinguishing between quantum and classical Markovian dephasing dissipation"
Abstract: Understanding whether dissipation in an open quantum system is truly quantum is a question of both fundamental and practical interest. We consider a general model of n qubits subject to correlated Markovian dephasing, and present a sufficient condition for when bath-induced dissipation can generate system entanglement and hence must be considered quantum. Surprisingly, we find that the presence or absence of time-reversal symmetry (TRS) plays a crucial role: broken TRS is required for dissipative entanglement generation.
Physical reservoir computing using finitely-sampled quantum systems
Abstract: The paradigm of reservoir computing exploits the nonlinear dynamics of a physical reservoir to perform complex time-series processing tasks such as speech recognition and forecasting. Unlike other machine-learning approaches, reservoir computing relaxes the need for optimization of intra-network parameters, and is thus particularly attractive for near-term hardware-efficient quantum implementations.
A Platform for Cavity Quantum Electrodynamics with Rydberg Atom Arrays
Abstract: In cavity quantum electrodynamics (cavity QED) systems, the realization of strong coupling between light and atoms plays a critical role in studying quantum optics and entanglement. At the same time, the Rydberg atom arrays provide a promising platform for exploring many-body physics. However, with the Rydberg-mediated interactions, the atoms mainly interact with each other locally. Combining the cavity QED and Rydberg arrays systems opens up new research directions in many-body physics with long-range interactions, creating a fully connected quantum network.
Squeezed Ground States in a Spin-1 Bose-Einstein Condensate
Abstract: We find a fast non-adiabatic protocol for the creation of spin squeezed ground states in a spin-1 Bose condensate and experimentally generate those states near the quantum critical point between the polar and ferromagnetic quantum phases of the interacting spin ensemble. The method consists of a pair of controlled quenches of an external magnetic field, which has the same leading order dependence for the total time as the quantum optimal control method but is simpler and realizable.
Harnessing the ultimate quantum-enhanced sensitivity in distributed quantum sensing with squeezed light
Abstract: Distributed quantum sensing is an exciting emerging research field aimed at harnessing quantum resources to achieve quantum-enhanced sensitivity in the estimation of single or multiple parameters, including temperature, electromagnetic and gravitational fields, distributed in a given quantum network. In particular, squeezing is a well established resource given its feasibility and robustness to decoherence with respect to entangled sources.