Scaling Modular and Reconfigurable Quantum Systems
Abstract
A large-scale quantum information processor must balance the need for coherent control of all qubits with decoherence rates that generally grow with system size. A modular approach can provide this balance, and may be the only possible way to reach truly large numbers of interacting quantum bits. This proposition will require a careful study of the costs and benefits of such a reduction in the connectivity over the entire system. The efficacy of the modular architecture will hinge upon particular aspects of the physical system, such as the number of qubits and native connectivity within a single module, the quantum gate families available within and between modules, and the density and other properties of the connections between modules. Moreover, such a modular architecture will need to be tailored to optimize a given application or algorithm, where the circuit structure is mirrored by the connectivity graph of qubits. This MURI project will investigate such co-design of quantum modular architectures. We will theoretically and experimentally study the key high level issues in the design and use of modular quantum architectures in order to extend the reach of quantum control to larger systems. We will pursue the following four research directions: (1) Theory of Scaling Modular Quantum Networks. We will investigate the power and limitations of quantum systems with modular graphs having both local and remote connections and define the performance metrics by which quantum tasks are measured. (2) Simulation Software Tools for Optimizing Modularity. We will design a software tool that can simulate the execution of the give task on the quantum architecture under consideration to extract the performance metrics. (3) Modular Quantum Applications. We will identify a class of modular quantum tasks that are of interest, based on the connectivity structure of the underlying algorithm. (4) Multibus Experimental Platforms: Testbeds for Modularity. We will implement quantum hardware and study quantum modularity with the complementary and most advanced physical platforms: trapped atomic ions and superconducting circuits.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- May 28, 2019
- Source ID
- W911NF1610349
Entities
People
- Christopher Monroe
Organizations
- Army Contracting Command
- United States Army
- University of Maryland