CASE Auditorium (Center for Academic Success & Engagement)

The Will Lab studies quantum systems of ultracold atoms and molecules. The lab cools atoms and molecules to temperatures less than a millionth of a degree above absolute zero, where atomic behavior is fully governed by quantum mechanics. Under these conditions, the lab controls individual quantum particles and their interactions with high precision using atomic physics tools, enabling novel platforms for many-body quantum physics, quantum simulation, quantum computing, and quantum optics.

Since 2019, the CUbit Quantum Seminar Series at the University of Colorado Boulder has been a cornerstone of Colorado’s rapidly expanding quantum innovation ecosystem. Each seminar brings leading quantum scientists, entrepreneurs, and technologists from around the world to campus, creating a rare forum where students, researchers, and industry partners engage directly with the people and ideas shaping the future of quantum technology.

The remarkable precision of optical atomic clocks enables new applications and can provide sensitivity to novel and exotic physics. In this talk I will explain the motivation and operating principles of a “multiplexed" strontium optical lattice clock, which consists of two or more atomic ensembles of trapped, ultra-cold strontium in one vacuum chamber. This miniature clock network enables us to bypass the primary limitations to standard comparisons between atomic clocks and thereby achieve new levels of precision.

The quantum 2.0 revolution is well underway, with a tantalizing future just over the horizon wherein computing, networking, sensing, and even time-keeping will be unimaginably more capable than they are today. The promise of this future hinges on the ability to control, entangle, and measure both individual qubits and large systems of them. Many of the most promising physical qubit systems being developed for these purposes are atomic in nature, i.e. trapped neutral atoms, trapped ions, and artificial atoms in crystals.

RASEI is hosting Prof. Richard Friend, from the University of Cambridge, UK, will be presenting on Wednesday November 12, 2025 as part of the Nozik Lecture Series from 3:00 – 4:00 PM, with a poster reception with refreshments following the talk. The talk will be on the fourth floor of the CASE building on main campus.

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.

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.

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.

Forthcoming

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.