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

超导量子器件--微米级电路，冷却到绝对零度以上百分之几度，所有电阻都消失--是未来计算最有前途的技术之一。多年来，超导量子比特（或“量子比特”）的研究主要集中在降低单个设备中的噪声上，但最近在相干性方面的突破使更大的电路成为现实，新设备将很快达到无法用常规计算机模拟的复杂程度。PI将为这些设备提出和协调新的设计、实验和应用，以扩展量子计算的前沿。他的研究将研究模拟奇异物质状态的新方法，纠正随机噪声产生的错误，并使用这些量子位更有效地解决困难的优化问题。研究生和本科生将接受培训，并得到该项目资金的支持。该计划还将帮助PI促进他的研究，以帮助建造量子计算机的商业努力。PI还将在杜兰大学的暑期拓展计划中工作，以帮助吸引初中和高中学生从事科学事业。首先，PI的工作将帮助研究人员使用超导量子比特捕获的光子来模拟奇异的物质状态，为测试量子多体物理学中的预测提供新的平台。其次，PI将探索工程耗散的应用，仔细调谐噪声源，可以被动和自动消除不必要的错误，并可能加快解决困难优化问题的过程。最后，PI将努力将这些被动纠错方案与更传统的量子纠错码相结合。在此过程中，PI将提出一种新的量子计算架构，可以更容易地构建更大规模的量子计算机。

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.