CUbit Quantum Seminar

Quantum Computing Enhanced Sensing

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Quantum computing and sensing represent two distinct frontiers of quantum information science. Here, we harness quantum computing to solve a fundamental and practically important sensing problem: the detection of weak oscillating fields with unknown strength and frequency. We present a quantum computing enhanced sensing protocol, that we dub quantum search sensing, outperforming all existing approaches. Furthermore, we prove our approach is optimal by establishing the Grover-Heisenberg limit -- a fundamental lower bound on the minimum sensing time.

A mechanical quantum memory

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Mechanical systems operating in the quantum regime offer an attractive platform for quantum information processing, precision sensing, and probing fundamental physics. In this talk, I will present new techniques for generating and characterizing non-classical states of mechanical motion using superconducting qubits. Our approach couples the electrical and mechanical degrees of freedom via modulation of the electrostatic force in a miniaturized vacuum-gap capacitor.

From diamond defects to protein-based qubit sensors

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Quantum metrology enables some of the world's most sensitive measurements with potentially far-reaching applications in the life sciences. Although the ultrahigh sensitivity of qubit sensors has sparked the imagination of researchers, implementing them in actual devices that enable monitoring cellular processes or detecting diseases remains largely elusive. Overcoming the limitations that hinder the broader application of quantum technology in the life sciences requires advances in both fundamental science and engineering.

Towards Efficient Programmable Quantum Simulation of Correlated Bosons and Lattice Gauge Theories

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Abstract: It is well-known that interacting fermions are difficult to simulate on quantum computers because of the sign problem. It is less widely appreciated that simulations of models containing bosons can also be difficult—unless the hardware contains native bosonic degrees of freedom. The ability of superconducting quantum processors to control and make quantum non-demolition (QND) measurements of individual microwave photons is a powerful resource for quantum simulation, especially for simulation of condensed matter models and lattice gauge theories containing bosons.

Photonic Integrated Circuit Technology for Quantum and Other Application

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Abstract: Tremendous progress is being made at silicon photonic foundries around the world to improve the performance, yield and capability of photonic integrated circuits (PICs) and that is opening up new markets, including quantum computing. These results will be described with an emphasis on integrating lasers to PICs and the improvements in laser and system performance that are possible.
 

Programmable Molecular Tweezer Arrays for Quantum Science

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Abstract: Polar molecules trapped in programmable optical tweezer arrays are an emerging platform for quantum science. In this talk, I will report our group’s work on advancing quantum control of molecular tweezer arrays and our first experiments on using these arrays for quantum information processing and simulation of quantum many-body Hamiltonians.I will first briefly present our work that establishes the essential building blocks for quantum science in this platform.