With the recent advances in the construction of larger quantum information experiments, the variety of control parameters has begun to explode, leading to ever more challenging experimental setups and time spent preparing systems to have actual many body quantum states or controlled qubits. Fortunately, our physical understanding of the underlying systems is at an unprecedented level, enabling modeling of potential experiments on classical computers ever more accessible, and at least qualitatively similar.
Topological edge states in silicon photonics
Quantum Network using Graphene Plasmons
Testing noise inequality for classical forces
Quantum control of solid-state spin
Welcome to the Taylor Research Group
Advances in our understanding of quantum mechanics enables new technological and physical investigations that examine the fundamental connection between emergent behavior of quantum systems and computational complexity. Currently it seems that there is a discrepancy between what nature makes easy and hard: classical physics and quantum mechanics disagree on this point. Thus measurement is easy in classical systems and difficult in quantum systems, while certain computational problems, such as simulating quantum systems and factoring large numbers, appear to be easier for quantum systems than classical systems. Our group works towards a deeper understanding of this classical-quantum divide, hoping to determine a constructive approach towards larger and larger quantum systems. We focus on three main research areas: hybrid quantum systems, applications of quantum information science, and fundamental questions about the limits of quantum and classical behavior.
Quantum information theory and experiments provide tools to help us learn about the most elementary questions we have about the natural world—how does gravity work? What kinds of particles are the fundamental building blocks of the universe? How does quantum mechanics apply to the very early universe, or in other extreme situations like black holes?
With increasing capabilities of quantum computing hardware, we are examining new classes of many-body systems that can be engineered and explored in the laboratory. One particular area of interest is low-disorder arrays of Josephson junction, probed using modern tools of circuit quantum electrodynamics. These arrays are host to a variety of novel effects and phenomena, often driven by their ability to host persistent-current vortices when penetrated by an external magnetic field. In a tunneling-dominated energy regime, these topological excitations are classically well-defined objects. However, due to the phase-number uncertainty relation, an energy regime exists where phase and charge number quantum fluctuations are on equal footing, introducing the concept of quantum vortices.
Complex quantum devices in the noisy, intermediate scale regime have unique challenges in testing: how do we understand their performance when we are unable to classically simulate their behavior, but their noise levels are too high for many fault-tolerance-focused metrology approaches to apply? Fortunately, we can take advantage of two different elements: first, the existence of exact solutions to larger quantum systems, which comes in direct analogy to the existence of integrable systems in classical dynamics. The second is the robustness of classical integrable models to small perturbations, leading to ‘islands of stability’ and regions of predictable behavior even with small amounts of noise.
February 10, 2021
The quantum nature of the gravitational field has been an open question for nearly 100 years. The simplest question one could ask is whether the gravitational field itself is a quantum degree of freedom. Here we propose a test of this idea.
October 20, 2020
Increasingly complex quantum computing schemes require small-scale solutions for precise qubit control and the isolation of quantum circuits. Addressing this problem is critical for the prospect of future quantum computers.
July 29, 2020
In March 2019, our group suggested using high-precision optomechanical sensors to search for the minute gravitational signature of passing dark matter particles.
July 06, 2020
We propose a technique to suppress error in simulating physics on a quantum computer. Our technique works by manipulating the errors from different steps of the simulation such that they interfere destructively and thus cancel out each other.
February 14, 2020
Electrons confined in arrays of semiconductor nanostructures, called quantum dots (QDs), are a candidate system to realize qubits—the fundamental components of quantum computers.