Towards Robust Scalable Quantum Random Access Memories
Abstract
Quantum random access memory (QRAM) can deterministically address a superposition of memory cells and return a superposition of the data, a capability that is required for the implementation of numerous quantum algorithms. At the same time, QRAMs provide an efficient interface between the quantum and classical domains necessary for creating oracles and opening the possibility of efficiently processing classical data using quantum algorithms. QRAMs can be implemented as shallow quantum circuits, which makes them a particularly promising noisy intermediate scale quantum (NISQ) demonstration with useful applications. Despite the impressive scientific advances and potential applications for QRAMs, their realization is hindered by the challenges of fragile quantum addressing that is vulnerable to decoherence, significant resource requirements for large QRAMs, and a non-trivial architecture requiring non-local gates.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jan 21, 2022
- Source ID
- FA95502110209XX0
Entities
People
- Liang Jiang
Organizations
- Air Force Office of Scientific Research
- United States Air Force
- University of Chicago