CAREER: Weaving Matter from Light: Many-Body Physics with Superconducting Qubits

超导量子器件——微米级电路被冷却到绝对零度以上百分之几度，在那里所有的电阻都消失了——是未来计算最有前途的技术之一。多年来，超导量子比特（或“量子位”）的研究主要集中在降低单个设备的噪声上，但最近在相干性方面的突破使更大的电路成为现实，新设备将很快达到常规计算机无法模拟的复杂程度。PI将为这些扩展量子计算前沿的设备提出和协调新的设计、实验和应用。他的研究将研究模拟物质奇异态的新方法，纠正随机噪声引起的错误，并使用这些量子比特更有效地解决困难的优化问题。研究生和本科生将得到本项目资金的培训和支持。这个项目还将帮助PI促进他的研究，以帮助商业努力建造量子计算机。PI还将参与杜兰大学（Tulane University）的暑期拓展项目，帮助吸引初高中学生从事科学事业。这个项目的科学目标有三个方面。首先，PI的工作将帮助研究人员利用超导量子比特捕获的光子来模拟物质的奇异状态，为测试量子多体物理学的预测提供一个新的平台。其次，PI将探索工程耗散的应用，仔细调整噪声源，可以被动地和自动地消除不必要的误差，并可能加快解决困难优化问题的过程。最后，PI将致力于将这些被动纠错方案与更传统的量子纠错码集成在一起。在此过程中，PI将提出一种新的量子计算架构，可以使构建更大规模的量子计算机变得更加容易。

Superconducting quantum devices -- micrometer-scale circuits which are cooled to a few hundredths of a degree above absolute zero, where all electrical resistance vanishes -- are one of the most promising technologies for the future of computing. For many years, research in superconducting quantum bits (or "qubits") was focused mainly on reducing noise in individual devices, but recent breakthroughs in coherence have made much larger circuits a reality, and new devices will soon reach a level of complexity where it is impossible to simulate them with regular computers. The PI will propose and coordinate new designs, experiments and applications for these devices that expand the frontiers of quantum computing. His research will study new methods for simulating exotic states of matter, correcting errors that occur from random noise, and using these qubits to more efficiently solve hard optimization problems. Graduate and undergraduate students will be trained and supported by the funding for this project. This program will also help the PI promote his research to aid commercial efforts to build quantum computers. The PI will also work in Tulane University's summer outreach program, to help attract middle and high school students to careers in science.The scientific goals of this program are threefold. First, the PI's work will help researchers use photons trapped by superconducting qubits to simulate exotic states of matter, providing a new platform for testing predictions in quantum many-body physics. Second, the PI will explore applications of engineered dissipation, carefully tuned noise sources which can passively and automatically cancel out unwanted errors, and potentially speed up the process of solving hard optimization problems. Finally, the PI will work to integrate these passive error correction schemes with more traditional quantum error correction codes. In doing so, the PI will propose a new quantum computing architecture that could make it much easier to construct larger scale quantum computers.