(DURIP) ESTABLISHING 3D PRINTED TRAPS FOR ELECTRON QUANTUM COMPUTING
Abstract
The realization of a quantum computer is a much desired goal and driven by its potential applications ranging from designing new drugs, simulating new materials to addressing fundamental questions in physics, chemistry and biology which are otherwise intractable with classical computations. Harnessing the power of a quantum computer for these applications, however, requires the ability to control and connect many qubits, the quantum version of bits in a classical computer. This formidable task is aggravated by the fact that quantum information is extremely vulnerable to any coupling to the environment. To mitigate this challenge, quantum error correction codes can be used to protect the loss of quantum information. These codes, however, require additional auxiliary qubits and also have a minimum requirement on the quality of each individual operation. There are many very promising approaches to building a quantum computer. Trapped charged particles and superconducting electronic circuits are among the record-breaking approaches. Both platforms have shown extraordinary successes in controlling quantum information and implement- ing quantum algorithms. However, they have yet to be scaled to sizes where useful quantum calculations can be performed to realize aforementioned applications. A novel approach that breaks with this paradigm is using trapped electrons for quantum information processing. Such a platform would combine the high-performance of trapped charged particles with the modularity and speed of superconducting qubits. Moreover, recent advances in microfabrication using 3D printing technology allow for building structures which can confine and interconnect electrons and are potentially scalable to control millions of qubits in the future. The proposed instrumentation will provide a setup to develop and test 3D printed Paul traps with the goal to confine single electrons and perform basic quantum operations on them. In particular, this includes a cryogenic vacuum chamber with a socket to readily exchange traps to drive and inform their development. The instrumentation will be adjunct to the existing UC National Laboratory Fees Research Program Enabling scalable quantum computing which has the goal of studying the feasibility of using 3D printed traps as a scalable platform for quantum computing.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Mar 07, 2023
- Source ID
- FA95502110427
Entities
People
- Boerge Hemmerling
Organizations
- Air Force Office of Scientific Research
- United States Air Force
- University of California Regents