From a quantum perspective, the world looks very different. And, if we can successfully harness quantum properties for new technologies and industries, so too will the future.
Quantum computers are needed to tackle problems much faster than any conventional computer, and thus, enable discovery that has not yet been possible. The emerging technological revolution of quantum computing, artificial intelligence (AI) and machine learning could be used to exponentially reshape our world across countless sectors, such as healthcare, finance and cybersecurity.
Quantum science and engineering have the potential to revolutionize computation capabilities by making certain types of classically intractable problems solvable. These capabilities could especially impact how science, technology and industry approach challenges involving a daunting number of variables and potential outcomes — like simulating chemical interactions, predicting the impact of diseases based on simulations, optimizing logistics, or sorting through massive datasets. As a pioneer in the very early days of the semiconductor industry, Robert Noyce would have appreciated the promise that quantum computing provides today.
UC Noyce Initiative Research Collaborations in Action
Marina Radulaski, UC Davis Assistant Professor, and Irfan Siddiqi, UC Berkeley Professor, will explore if superconducting quantum computers can become a tool for designing analog quantum devices in photonic platforms.
Click here to learn more about this UC Noyce Initiative Project.
Professor Venkatesan Guruswami aims to address current challenges in quantum error correction by identifying new error-correcting codes and then exploring their downstream impacts.
Click here to learn more about Professor Guruswami.
Associate Professor Andrew Jayich, Professor Hartmut Haeffner, Assistant Professor Davis Patterson and Associate Professor Yufei Ding are using novel 3D printing methods to develop 3D ion traps that can be used to increase the speed and reliability of ion trap quantum computers. Once developed and tested, the team will work to adapt the design for scalability. Such advancements might have implications on atomic clocks and mass spectrometry.
Click here to learn about one of the PIs on this UC Noyce Initiative Project.
Professor Irfan Siddiqi is designing modular quantum processors which could increase the processing power of quantum computers and someday may lead to the development of inexpensive, large-scale quantum computers.
Click here to learn more about Professor Siddiqi.
Professor Birgitta Whaley aims to explore how machine learning can be used to improve the performance of quantum computers, both their hardware and software.
Click here to learn more about Professor Whaley.