CUbit Quantum Seminar

Abstract: Empirical evidence for a gap between the computational powers of classical and quantum computers has been provided by experiments that sample the output distributions of two-dimensional quantum circuits. Many attempts to close this gap have utilized classical simulations based on tensor network techniques, and their limitations shed light on the improvements to quantum hardware required to frustrate classical simulability.

Abstract: Neutral atom quantum computing is a rapidly developing field. Exploring new atomic species, such as alkaline earth atoms, provides additional opportunities for cooling and trapping, measurement, qubit manipulation, high-fidelity gates and quantum error correction. In this talk, I will present recent results from our group on implementing high-fidelity gates on nuclear spins encoded in metastable 171Yb atoms [1], including mid-circuit detection of gate errors that give rise to leakage out of the qubit space, using erasure conversion [2,3].

Abstract: Integrated sensors have fundamentally revolutionized nearly all electronic systems. How can quantum technology contribute? In this talk, I aim to present recent advances in integrated quantum nonlinear photonics and electromechanics and outline their potential to enhance sensing technologies. I'll start by presenting Stokowski [1] and Park's [2] demonstrations of integrated quantum optical sensors and squeezed light sources in thin-film lithium niobate.

Abstract: 

• Abstract: Spin-orbit coupled Bose-Einstein condensates, where the internal state of the atoms is linked to their momentum through optical coupling, are a flexible experimental platform to engineer synthetic quantum many-body systems. In my talk, I will present recent work where we have exploited the interplay of spin-orbit coupling and tunable interactions in potassium BECs to realize two unconventional superfluid phases.

• Abstract:This talk has two parts. In the first part I’ll reflect on the current status and prospects for quantum computing. In the second part I’ll describe recent results about using classical machine learning and quantum data to predict properties of complex quantum systems. In particular, these results highlight the potential for machine learning models to predict the output of a complex quantum process much faster than the time needed to run the process itself. The talk draws on material from these references:

Light refreshments will be served starting at 3:30 p.m. Talk begins at 4 p.m.
This seminar series is sponsored by CUbit with generous support of the Caruso Foundation.

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Abstract: 

The CUbit Quantum Initiative presents our next speaker of the Spring 2023 CUbit Quantum Seminar Series, Professor Mikhail Lukin (Harvard).  Professor Lukin will speak on Monday, May 1st at 4:00 pm in the CASE Auditorium. Coffee and cookies will be offered beginning at 3:30 pm.

This talk has been CANCELLED.

Title: Developing Deployable Quantum Sensors

Abstract: 

Abstract: In this talk, I will describe recent developments in the Simon/Schuster collaboration, where we are harnessing cavity quantum electrodynamics for both manybody physics and quantum information. I will begin with an overview of our photonic quantum materials efforts, highlighting the analogy between photons in a lattice of cavities (or family of cavity modes) and electrons in solids.