Quantum Compute-Enabled Wireless Networks
Building and Experimenting with Quantum Compute-Enabled
NextG Wireless Networks
In recent years, user demand for increasing amounts of
wireless capacity continues to outpace supply.
Quantum-Enabled Computational Techniques (QENeTs) aims to
transform the current research landscape by leveraging quantum
computation to overcome previous computational limitations,
enabling new levels of wireless network performance, with the
eventual outcome of incorporating quantum computation into
tomorrow's Next Generation wireless cellular networking
standards.
The Networking Perspective
Why Quantum Computation for Wireless?
Performance-compute elasticity.
Performance-compute elasticity. In large
NextG wireless networks there
is elasticity in the relationship
between spectral efficiency and
expended compute cycles.
The Physics Perspective
Why Wireless Applications?
Unique wireless application demands.
Unique wireless demands. Unlike many other
applications, to operate at "line rate,"
wireless baseband processing
requires both (1) high computational throughput,
and (2) low computational latency.
In recent years, user demand for increasing amounts of wireless capacity continues to outpace supply. Quantum-Enabled Computational Techniques (QENeTs) aims to transform the current research landscape by leveraging quantum computation to overcome previous computational limitations, enabling new levels of wireless network performance, with the eventual outcome of incorporating quantum computation into tomorrow's Next Generation wireless cellular networking standards.
Why Quantum Computation for Wireless?
Performance-compute elasticity.
Performance-compute elasticity. In large NextG wireless networks there is elasticity in the relationship between spectral efficiency and expended compute cycles.
Why Wireless Applications?
Unique wireless application demands.
Unique wireless demands. Unlike many other applications, to operate at "line rate," wireless baseband processing requires both (1) high computational throughput, and (2) low computational latency.