BE NON LINEAR- Bosonic Encodings in NOise-resilient circuits with strong Non-LINEARity
Abstract
Quantum technologies aim to harness non-classical correlations in quantum states to yield significant advantages in information processing, sensing, and simulation. Quantum processors have just started outperforming the fastest classical (super)computers on very specific computations, but to move towards widespread applications, the next generation quantum hardware needs to be made robust against errors. Most quantum processors use quantum bits, or qubits as their fundamental building block. Qubits encode quantum information in two energy states of a quantum system. A promising alternative approach uses an infinite number of equally spaced energy states of a superconducting resonator to process quantum information. Microwave resonators offer a resource efficient way to build quantum computers and have recently been made robust against errors through quantum error correction.The research proposed here aims to solve one big challenge with processing quantum information in superconducting resonators, namely that accurate control of the energy states is hard because every transition has the same energy. We propose to store quantum information in a non-linear microwave resonator where each energy level can be individually addressed. To this end, we will design new superconducting circuits with a strong non-linearity and build-in noise resilience for higher energy states. We will also develop quantum control techniques to store and stabilize quantum information in such non-linear modes. We anticipate that quantum computers that store information in multi states of non-linear resonators are able store and process quantum information with higher precision than previously demonstrated. If successful, the non-linear circuits developed in this research may become the building block for the next generation quantum technologies.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Feb 29, 2024
- Source ID
- FA95502310121
Entities
People
- Machiel Blok
Organizations
- Air Force Office of Scientific Research
- United States Air Force
- University of Rochester